Data Cleaning Freelance Jobs

About Us:

We are a market research and consultation company expanding our services to include customer experience, marketing automation, and digital transformation. We are seeking a highly skilled expert in research, data cleaning, and data visualization to support our data-driven decision-making processes.

1st Task: Categorizing a list of 2000 companies

Responsibilities:
- Conduct thorough and accurate research to gather relevant data.
- Clean and preprocess data to ensure accuracy and reliability.
- Design and create compelling data visualizations to effectively communicate insights.
- Analyze complex datasets to identify trends, patterns, and actionable insights.
- Collaborate with cross-functional teams to understand data requirements and deliverables.
- Generate comprehensive reports and dashboards to support strategic decisions.
- Ensure data compliance with privacy regulations and best practices.

Requirements:
- Proven experience in research, data cleaning, and data visualization.
- Proficiency with data visualization tools such as Tableau, Power BI, or similar.
- Strong skills in data analysis using software like Excel, R, Python, or SQL.
- Experience with data cleaning techniques and tools.
- Ability to interpret complex data and present it in a clear and understandable manner.
- Excellent problem-solving skills and attention to detail.
- Strong communication and collaboration skills.
- Ability to work independently and manage multiple projects simultaneously.

Preferred Qualifications:
- Experience in market research or a similar field.
- Familiarity with statistical analysis and data modeling.
- Knowledge of database management and data warehousing.
- Previous experience with survey design and analysis.
- Understanding of machine learning techniques and applications.

So i am currently in need of 2 projects which should be in finance and retail sector, and the database of it can be your choice but should be large enough to get insights and visualization can be derived, i need to be shown in project use of python, tableau for visualization and data cleaning. Basically whatever the requirement is there for entry level data scientists job skill. Then i want to all coding, visualization dataset gathered in a folder and upload it to my github to represent as my personal project portfolio. If you have any questions further feel free to ask. Thank you

Seeking a highly motivated and detail-oriented individual to find leads for all Arizona After-School Programs. Your mission is to uncover a goldmine of information - the names, emails, and titles of key decision-makers at after-school programs across the state of Arizona.

Responsibilities:

Conduct thorough research to identify after-school programs in Arizona using this site: https://azafterschool.org/for-families/directory/ and other various online resources, databases, and directories to gather contact information.

Build a comprehensive database of at least 500-1000 after-school program contacts, including name, email, company, and title.

Ensure data accuracy and completeness through rigorous verification processes.

Employ effective data cleaning and enrichment techniques to enhance contact information.

Qualifications:

Strong research and data analysis skills.
Proficiency in using online tools and databases.
Excellent attention to detail and accuracy.
Ability to work independently and meet deadlines.
Strong organizational and time management skills.

If you're a data sleuth with a passion for uncovering valuable information, we want to hear from you!

Objective:
The goal is to clean, format, and analyze the provided compensation data to showcase the historical progress of an individual's total compensation over time. The final deliverable should be a clear, easy-to-read summary that allows us to discern how the individual's total compensation has evolved.

Data Overview:
The attached spreadsheet contains compensation data for Employee A. The data includes various fields such as base salary, bonus target, bonus payment, RSUs (Restricted Stock Units), and other compensation components over time. However, the data is currently messy and not in a user-friendly format.

Tasks:

Data Cleaning:

Remove any unnecessary rows or columns that do not contain relevant data.
Standardize date formats for consistency.
Ensure that all monetary values are in the same currency and format.
Data Formatting:

Organize the data into a structured table with clear headers.
Separate different compensation components (e.g., base salary, bonus, RSUs) into distinct columns.
Summarize total compensation for each year, including all relevant components.
Data Analysis:

Calculate the annual total compensation by summing up all components for each year.
Create a clear timeline showing the progression of total compensation over time.
Highlight any significant changes or trends in the compensation data.
Presentation:

Provide a summary table showing the annual total compensation for each year.
Generate charts or graphs to visually represent the compensation progression.
Ensure the final document is easy to read and interpret.
Additional Information from the Attached Spreadsheet:

The data starts from the hire date of 3/25/19.
Includes columns such as "Base Salary Increase," "Bonus Target," "Bonus Payment," "Other," "RSU Grant Value," "Grant Date Closing Price," "# RSUs," and "Vesting Schedule."
Initial base salary was $350,000 with a bonus target of 20%.
Deliverables:

A cleaned and formatted Excel sheet with structured compensation data.
A summary table of annual total compensation.
Visual representations (charts/graphs) of the compensation progression.
Any additional insights or observations derived from the data.
Please ensure that all steps are documented and the final deliverables are clear and concise. Let me know if you have any questions or need further clarification.

We are looking for a skilled and experienced data scientist or data analyst who is proficient in advanced Excel and STATA or a similar tool. As a freelancer, you will be responsible for compiling, analyzing and interpreting complex datasets to drive data-driven decision-making. You will be working with large datasets, conducting statistical analysis, and creating visualizations to communicate insights effectively. The ideal candidate should have a strong background in statistics and data analysis, as well as experience in data cleaning, data manipulation, and data visualization. Excellent problem-solving skills and attention to detail are also crucial for this role.

Relevant skills:
- Advanced Excel
- STATA or similar tool
- Statistical analysis
- Data cleaning
- Data manipulation
- Data visualization

I am looking for a data cleaning to put every file from here into a single database table. The columns are mismatched and have moved over time, so I am looking for someone to organize this and ensure high data quality and integrity.

I use Microsoft Excel CSV data to milmerge with a Microsoft Word Letter Template and write personal approach letters.

- the address' come from an exported CSV file and the data is badly laid out (cant change it at source) and this makes it impossible to use for my purpose without manual amendments.
- I need someone to clean the data.
- I would also like the merge done, then receive the document.
- I am looking for the simplest way to create a process to do this.
- The accuracy of the names and address are very important so manual checking is required.
Approximately 100 address' / letters at a time

We are seeking an Excel expert who is proficient in Vlookup and data cleaning techniques. The ideal candidate will possess a deep understanding of Excel formulas and functions, particularly Vlookup, and have experience in cleaning and organizing large datasets. The main tasks will involve using Vlookup to match and retrieve data from different worksheets or workbooks, as well as performing data cleaning operations such as removing duplicates, correcting formatting errors, and standardizing data. The successful candidate should also have good problem-solving skills and attention to detail. If you have a track record of successfully working on similar projects and can demonstrate your expertise in Excel, we would love to hear from you.

We are seeking an Excel expert who can assist us with a problem we are facing with VLOOKUP. Currently, we are encountering a #N/A error and need someone to help us troubleshoot and resolve this issue. Our goal is to clean the data and load it into Brevo. The successful candidate will have a deep understanding of VLOOKUP and Excel data cleaning techniques. Strong problem-solving skills and attention to detail are essential. This is a great opportunity for someone who enjoys working with Excel and has experience with data manipulation and analysis.

Skills required:
- Excel
- VLOOKUP
- Data cleaning
- Problem-solving
- Attention to detail

We're a US based startup, looking for virtual assistance with tasks like:
- Manual data cleaning
- Form submissions
- Manual data reviews

And more.

I am looking for a data cleaning expert to put every file from here into a single database table. The columns are mismatched and have moved over time, so I am looking for someone to organize this and ensure high data quality and integrity.

https://www.hud.gov/program_offices/housing/rmra/oe/rpts/hecmsfsnap/hecmsfsnap

Looking for someone to make application designed to process CSV files containing UUIDs, latitude/longitude coordinates, and timestamps to accurately identify and extract home addresses.

This application streamlines the process of uploading, processing, and refining large datasets to ensure precise and reliable identification of home addresses from the given data.

Filtering Random Locations: Clustering algorithms, such as DBSCAN, are used to filter out random locations like roads and public places.

Home Location Identification: The application analyzes temporal patterns to identify recurring nighttime locations, which are likely to be home addresses and then converts lat/long to address.

Output Generation

The refined results, including identified home addresses, are generated in a downloadable CSV file.

Implementation Details, but open to suggestions:
Frontend: HTML, CSS, JavaScript (React.js or Vue.js).
Backend: Python (Django or Flask), Node.js.
Database: PostgreSQL (with PostGIS extension for spatial data handling).
Data Processing: Pandas, NumPy, Scikit-learn for clustering, Geopandas for spatial data handling.


Upload CSV File: Users upload a CSV file via the web interface.
Data Cleaning: The application removes invalid entries and formats data correctly.
Clustering: The application uses DBSCAN to filter out random locations.
Home Identification: Temporal analysis identifies home locations based on recurring nighttime visits.
Result Generation: The refined data is available for download and visual inspection on a map.

The Home Address Identification Application ensures an efficient and reliable process for determining home addresses from large datasets, providing users with a powerful tool for data analysis and visualization.

In this assignment, I am in search of a proficient data analyst to undertake a vital project concerning NHANES data. Ideally, the successful candidate will demonstrate a high degree of competency in the R programming language, given that R will be an instrumental tool utilized throughout this project. Here is a glimpse into what this project demands:

- Data Cleaning and Preprocessing: The initial phase of this project involves the critical task of cleaning and preprocessing the NHANES data.

- Statistical Analysis: As a next step, a profound knowledge in various statistical procedures is required. Notably, the utilization of regression analysis, chi-square tests, and factor analysis will be crucial.

- Data Visualization: Lastly, the freelancer should possess excellent data visualization skills to effectively interpret the data analysis results.

In terms of skills, sufficient experience in handling large datasets, mastering the R language, and a background in statistical methodologies are my expectations. The ultimate goal is to perform a thorough and comprehensive analysis of the NHANES data with meticulous attention to detail and accuracy.

Skills: Statistics, R Programming Language, Statistical Analysis, SPSS Statistics, Data Science

I am looking for a skilled Statistical Analyst to help us with the analysis of foreign aid and growth using Stata. The ideal candidate should have a strong background in statistical analysis econometric modelling and be proficient in using Stata software. This project aims to examine the relationship between foreign aid and economic growth in low and middle income countries of the world. The Statistical Analyst will be responsible for data cleaning, exploratory analysis, regression modeling, construct theorytical model (by using endogenous growth theories) and interpreting the results. The candidate must have excellent communication skills. Attention to detail and the ability to meet deadlines are essential.

Skills required:
- Statistical analysis
- Stata software
- Data cleaning
- Panel data analysis (OLS, FE, GMM, 2SLS)
- Communication

Please include relevant samples of your previous work in statistical analysis.

I'm looking for a highly skilled data entry specialist to assist with cleaning data from a series of text documents to correct any errors present.

Key Responsibilities:
- Reviewing text documents to identify and correct errors
- Ensuring all data is accurate and free from mistakes

Ideal candidate will have:
- Proven experience in data entry
- Exceptional attention to detail
- Strong communication skills.

Skills: Data Processing, Data Entry, Excel, Virtual Assistant, Web Search

We are seeking a skilled and experienced data analyst to assist us with a data analytics project. As a data analytics expert, your main responsibility will be to collect, clean, analyze, and interpret large datasets to generate meaningful insights and recommendations. You will collaborate with our team to identify key business questions and develop data-driven solutions. The ideal candidate should have a strong background in data science, statistics, and data visualization. Attention to detail, problem-solving skills, and the ability to work independently are essential for success in this role. Please start your application with a sentence about attention to detail as that is one of the most important things here.
We would like to have regular video calls and we will lean on you a lot as an expert in your field. We expect you to take initiative and propose creative and innovative solutions. We would like to see examples of projects you have worked on previously, so please provide links to these as well as descriptions of what you did on these projects.

Relevant skills:
- Data analysis
- Data cleaning
- Statistical analysis
- Data visualization

Size: Medium
Duration: 1 to 3 months
Expertise: Intermediate

Our application is a SAAS-based offering. We are using Java, and React.js in our stack. We require candidates with 6 to 8 years of experience in Java & MongoDB, as well as expertise in managing scheduled tasks and jobs across multiple projects.

Our lead management system enables users to create custom fields, including text, date, and number fields, and to upload data accordingly. Users can create segments based on both default and custom lead fields and filter the data as needed.

We are using Java Spring Boot and a MongoDB database. Our goal is to implement segmentation module APIs that allow our users to efficiently filter the database based on various conditions across all lead fields. Additionally, we are looking into how our import process can effectively handle these scenarios during CSV uploads.

Understanding the Requirements:
Custom Fields: Users can define text, date, and number fields.
Data Upload: Users can upload data for these custom fields.
Segmentation: Users can create segments based on both default and custom lead fields.
Filtering: Segments should allow filtering data based on various conditions.
Technology Stack: Java Spring Boot and MongoDB.

When importing CSV data into fields with specific data types like Date or Number, inconsistencies can arise if the imported data is in string format.

====Date Fields for import CSV====
Explicit Date Format: If you know the date format used in the CSV (e.g., YYYY-MM-DD, MM/DD/YYYY), use a date format to parse the string into a Date object. Handle potential exceptions if the format doesn't match.

====Number Fields for import CSV====
Numeric Conversion: Try to convert the string to a numeric data type (Integer, Long, Double, etc.) using NumberFormat or BigDecimal.
Handle potential NumberFormatException if the string is not a valid number.

Data Cleaning:
Implement data cleaning steps to handle common issues like leading/trailing spaces, extra characters, and inconsistent formatting.

I am looking for a data scientist to assist me with a data science project. The specific tasks that I need assistance with are model building and prediction.

The models will be built using both structured and unstructured data.

I would prefer the use of Python for this project.

Ideal skills and experience for this job include:
- Proficiency in data cleaning and preprocessing
- Experience in exploratory data analysis
- Strong background in model building and prediction
- Expertise in Python programming language

Skills: Python, Statistics, Machine Learning (ML), Data Mining, R Programming Language

I have a small worksheet in Excel that requires some cleaning and basic analysis. The task is not too complex, but I'd like to automate the process with a VBA code.

Key Requirements:
- The data is in a single worksheet
- Basic tasks such as removing duplicates and formatting need to be performed

Ideal Skills:
- Proficient in VBA and Excel
- Experience with data cleaning and basic analysis
- Attention to detail is crucial
- Good communication skills to understand the specifics of the task and provide updates in a timely manner.

Skills: Visual Basic, Data Processing, Data Entry, Excel

I need a professional to clean up my customer reviews data. It's primarily text data and the main focus is to correct spelling and grammar errors.

Key Requirements:
- Expertise in data cleaning, particularly with text data
- Strong attention to detail
- Experience with customer review data is a plus
- Good understanding of spelling and grammar
- Ability to maintain data integrity
- Proficiency in relevant data cleaning tools or software

The successful candidate will be tasked with ensuring that the data is cleaned without losing the original sentiments and opinions expressed by the customers. Please provide examples of similar projects you've undertaken.

Skills: Data Processing, Data Cleansing, Data Visualization

Introduction:
We are seeking an experienced developer to build a web-based portal that gathers data from multiple ticketing systems to generate billing reports and integrates seamlessly with Xero. This system will act as a middleware solution to streamline invoicing processes.

Project Overview
Our goal is to develop a web portal accessible by both admins and users, with different permission levels. The system will allow selection of one or multiple accounts from which pre-billing data will be fetched from various ticketing systems. Users can clean and verify this data before approving it for export or email, with the option to push approved data to Xero.

Requirements:

-Technical Skills:
- Proficiency in web development languages such as HTML, CSS, JavaScript, and frameworks like React or Angular.
- Strong backend development experience with languages like Python, Node.js, or Ruby.
- Experience with database management (e.g., MySQL, PostgreSQL).
- Expertise in API development and integration (REST API, SOAP, etc.).
- Familiarity with Xero API for seamless integration.
- Experience with authentication and authorization mechanisms.

- Project Management:
- Ability to provide regular progress updates and clear documentation.
- Experience in developing similar systems and understanding of billing processes.

Scope of Work:
- Portal Development:
- Develop a web-based portal with a user-friendly interface for admins and users.
- Implement user authentication and role-based access control.

- Data Integration:
- Integrate with multiple ticketing systems to fetch pre-billing data.
- Develop features for data cleaning and verification (cost, time, name, etc.).

- Approval and Export:
- Implement approval workflow for pre-billing data.
- Enable export and email functionalities with secure links.
- Develop integration with Xero to push approved data.

- Dashboard:
- Create a dashboard to display an overview of account statuses (new, in-progress, approved, rejected, conflicted).

Timeline:
- The project deadline is 3 months, including system testing. Key milestones include:
- Initial consultation and planning: 2 weeks
- Development of core functionalities: 6 weeks
- Integration and testing: 4 weeks
- Final adjustments and deployment: 2 weeks

Budget:
- Our budget for this project is 8000$ depending on experience and project scope.

Additional Information:
- Regular progress updates are required, preferably through weekly video meetings.
- Comprehensive documentation and code handover at the end of the project.

How to Apply:
- Please provide a detailed proposal, including your relevant experience, estimated timeline, and a quote for the project. Examples of similar projects you have completed would be highly appreciated.

We look forward to collaborating with a talented developer to bring this project to life!




Regards

ME = ManageEngine Servicedesk plus [MSP]

In need of quality service in three main areas; data entry, data cleaning, and data analysis. The chosen candidate should exhibit strong skills and experience in handling:

- Medium volume of data: You'll take up the task of managing a considerable amount of data.

- Processing text files: The data available is in text file format. You should be proficient in transferring and correcting any inconsistencies this kind of data might present.

- Conducting Predictive Analytics: Your task will extend to the analysis stage where you'll employ predictive analytics to anticipate future outcomes and trends.

To succeed in this role, you should have a sharp eye for detail, be comfortable working with text data, and have a firm grasp on predictive analytics. Time management skills are a bonus as we are working to a tight schedule.

Skills: Excel, Statistics, Google Analytics, Analytics, Statistical Analysis

Freelance Job Description: Data Crawling/Web Scraping Specialist

Position Overview:

We are seeking a skilled and detail-oriented freelance Data Crawling/Web Scraping Specialist to assist us in collecting and extracting data from various websites and online sources. The ideal candidate will possess expertise in web crawling techniques, data mining, and web scraping tools. This role offers the opportunity to work remotely and flexibly, contributing to projects that require the extraction of valuable information for analysis and decision-making purposes.

Responsibilities:

Conduct thorough research to identify target websites and online sources for data extraction.
Develop and implement efficient web crawling scripts and algorithms to systematically retrieve desired data from target websites.
Utilize a variety of web scraping tools and technologies to extract structured and unstructured data from different types of web pages.
Perform data cleaning, validation, and transformation processes to ensure accuracy and consistency of extracted data.
Collaborate with stakeholders to understand project requirements and provide insights on data collection strategies.
Monitor and maintain data crawling processes to ensure continuous and reliable data extraction.
Troubleshoot and resolve any issues or challenges encountered during the web scraping process.
Stay updated with industry trends and advancements in web crawling techniques and tools to enhance efficiency and effectiveness.

Requirements:

Proven experience in data crawling, web scraping, and data mining techniques.
Proficiency in programming languages such as Python, R, or JavaScript.
Familiarity with web scraping frameworks/libraries such as Scrapy, BeautifulSoup, Selenium, or Puppeteer.
Strong understanding of HTML, CSS, and XPath for navigating and extracting data from web pages.
Excellent analytical and problem-solving skills with attention to detail.
Ability to work independently and manage time effectively to meet project deadlines.
Good communication skills and the ability to collaborate with cross-functional teams.
Prior experience with handling large datasets and databases is a plus.

Phase 1 - (17 -21 Hrs)
- Welcome Series/ Lead Nurture X 5 Emails (Approx 7-8 hrs)
- Integration - Mailchimp & Teachable - (8-10 hrs )
- Contacts Data Cleaning - (2-3 hrs)

𝗧𝗼𝘁𝗮𝗹 𝗖𝗼𝘀𝘁 - 21 hrs X $23/hr (my hourly rate) = $483 = $460

We implemented MS Business Central (BC) a few years ago but have much training, configuration and data cleaning required.
We need to train about 30 people in a higher level of BC use, design/redesign workflows, create new dimensions and clean out old data.
We estimate this will be a 20 to 30 hour per week project for 2 to 3 months.
We need an expert with Business Central who can teach us how to use this application to its fullest.
This work can be done remotely but we expect many live meetings.
We need someone no more than 2 hours outside our Eastern US time zone.

I’m looking for a talented Web Scraping Developer to join our team for an urgent project. We have encountered a challenge where our scraping script stops working when the website structure changes. If you have a knack for extracting valuable data from websites using Python, we want to hear from you!

The primary objective of this project is to scrape data from multiple websites and organize it into a structured format. The data will be used to support our business analytics and decision-making processes. You’ll need to ensure that the scraping process is efficient, reliable, and able to handle changes in website structure.

Requirements:
- Proven experience in web scraping using Python.
- Strong proficiency in libraries such as BeautifulSoup, Scrapy, and Selenium.
- Familiarity with data storage solutions like SQL and NoSQL databases.
- Ability to handle dynamic content and JavaScript-heavy websites.
- Excellent problem-solving skills and attention to detail.
- Ability to work independently and meet tight deadlines.

Preferred Qualifications:
- Experience with cloud services like AWS or Google Cloud for deploying scraping solutions.
- Familiarity with data cleaning and preprocessing techniques.
- Knowledge of version control systems, particularly Git.
- Previous experience in automating data extraction processes.

The project must be completed before next Friday, 2nd August. I’m hiring someone immediately, so share your availability in the proposal as well.

Need to make a quick hiring, apply fast to be considered.

I am seeking a highly skilled data analysis and AI expert to assist me in understanding and leveraging a dataset I recently acquired from a company. The ideal candidate will have extensive experience in data cleaning, analysis, and AI-driven insights.

Responsibilities:
Data Exploration: Provide an initial overview of the dataset, including the types of data, structure, and potential value.
Consultation: Answer questions and offer insights into what is possible with the available data, considering both my preliminary ideas and potential opportunities I may not have considered.
Data Cleaning: Perform necessary data cleaning to ensure the dataset is ready for analysis.
Analysis and Insights: Utilize AI and data analysis techniques to extract meaningful insights from the data.
Recommendations: Advise on the best formats and structures for the data to support future projects and applications.
Implementation Support: Assist in preparing the data in the required format for specific projects and applications.

Requirements:
Proven experience in data analysis and AI, preferably with a background in handling diverse datasets.
Strong knowledge of data cleaning techniques and tools.
Ability to explain complex data concepts in simple terms.
Experience with various data analysis tools and platforms (e.g., Python, R, SQL).
Excellent communication skills and ability to provide clear, actionable insights.
Preferred Qualifications:
Experience working with datasets from different industries.
Previous consulting experience.
Familiarity with data visualization tools.

How to Apply:
Please submit your proposal with the following:
A brief summary of your experience and relevant projects.
Your approach to exploring and analyzing new datasets.
Examples of insights you have previously extracted from data.
Your availability and estimated timeline for completing this project.
I look forward to working with a talented professional who can help me unlock the potential of my dataset and guide me through the process of utilizing it for various projects.

Data Engineer, Feature Engineering, Data Mining, Data Web Scraping, Data Analise
You will need to dive into the internet for the particular niche , will need to do a lot of web scrapping, then data cleaning and then we would analyse it.
You will prepare list of sources and validating them.
After that we need data cleaning and analysis to be sure that the data is well for our training purposes
Feature Data Engineering, need to build new columns that will be best for prediction so we can jump into the training phase.

We are seeking a skilled Power BI consultant to assist us with a project that involves integrating multiple datasets, creating relationships, and building comprehensive visualizations. Our goal is to establish a robust data model that can be used for dynamic reporting and analysis. We are looking for someone to assist our team rather than take on the project on their own. Being more of a consultant over the tenure of the project rather than completing the project.

Key Responsibilities:

Data Integration:

Connect and integrate various data sources, including inventory, sales, and other operational datasets.
Resolve data inconsistencies and ensure data integrity across all datasets.
Data Modeling:

Create relationships between tables to establish a coherent data model.
Utilize bridge tables where necessary to resolve many-to-many relationships.
Data Transformation:

Perform data cleaning and transformation using DAX and Power Query.
Ensure that all data is accurately represented and ready for analysis.

Hi, we are Supersonic Sites, we are specialists in web design for landscapers, tree services and lawn care companies in Canada and the USA.

We are looking for someone who would do data cleaning, enrichment and data mining. We value attention to detail. If you would just use LinkedIn scraping to complete the job, this isn't for you. There will be a lot of manual research, automation is allowed but we don't want to cut corners. The quality of data is PARAMOUNT.

We will start by providing the list of businesses we want to reach out to in a city (example: Ottawa, Ontario)

The applicant will have to:
1. Clean up the list
-- Delete all entries that are not landscapers, tree services or lawn care. That means no "landscape architect", "wholesalers", "garden centers". Also, if the business is a franchise, it has to be deleted.
2. Find the email of the business by any means necessary. If you can find the owner's email, please make it a priority.
-- Look on the website, Instagram, facebook of the business. If it cannot be found, delete the entry.
3. Find the business owner's first and last name.
-- Sometimes, it can be found on the website's about page; if not, it can usually be found in the Canada or Ontario business registry. If not there, read their Google My Business reviews to see a recurring name that indicates who the owner is.

We will start with a small list. If we are pleased with the attention to detail and the quality of the work, we have a lot more work available!