Kuba Wernerowski Email & Phone Number
Who is Kuba Wernerowski? Overview
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Kuba Wernerowski is listed as AI Trainer at Mercor, a company with 815 employees, based in Toronto, Ontario, Canada. AeroLeads shows a matched LinkedIn profile for Kuba Wernerowski.
Kuba Wernerowski previously worked as Senior Data Quality Specialist at Cohere and Data Quality Specialist at Cohere. Kuba Wernerowski holds Honours Bachelor Of Science, Mathematics, Statistics, And Computer Science from University Of Toronto.
Email format at Mercor
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About Kuba Wernerowski
University of Toronto graduate in Math, Statistics, and Computer Science, with a diverse background in data science, product management, software engineering, and real-world entrepreneurship.Experienced with data analytics and visualization (Python, Pandas, SQL, Tableau), managing multiple projects in fast-paced environments, and automating/streamlining existing processes.
Listed skills include Python, Data Analysis, Data Structures, Teamwork, and 17 others.
Kuba Wernerowski's current company
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Kuba Wernerowski work experience
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Ai Trainer
Senior Data Quality Specialist
Current
Data Quality Specialist
Operational Performance Analyst
Product Analyst
Data Scientist & Engineer
Data Science & Engineering Intern
- Extended PySpark’s limited functionality for filling in missing data by implementing linear regression imputation, and utilizing aggregation functions on sub-grouped and windowed data for multi-terabyte big data sources.
Co-Founder & Cio
- Co-founded Prolego.ai, a startup providing AI models that automated underwriting, which was projected to save up to $10 million annually for life insurance providers.
- Raised $32,000 in investment funding (approx. $800k valuation), and negotiated for an acquisition by a major Canadian life insurance provider.
- Programmed prototypes in Python, conducted detailed market research, and presented demos and pitches to C-suite executives at Canada’s top life insurance companies.
Data Engineering Intern
- Automated daily SFTP server data retrieval and GCP machine learning pipelines with Bash, Python, and GCP Cloud Composer (Apache Airflow) which freed the Chief Data Scientist to conduct more experiments.
Recording Secretary
- Sat on the Executive and Judiciary Boards for a chapter of 42 members.
Scholarship Chair
- Implemented new bylaws which revamped the previous raffle ticket system for academic performance to a weighted point system which rewards consistent year-long performance. This resulted in the average chapter semester.
- Redesigned the existing system for tracking chapter GPA and created bar plots to visualize GPA trends.
Philanthropy Chair
- Coordinated fundraising efforts and organized philanthropy events.
Junior Statistician
- Ensured that researcher Stata DO files were correct by reviewing base statistical tests, visualizing exposure/outcome variables, confirmed models were appropriately selected and met the necessary assumptions, and.
- Conducted an in-depth review of the literature regarding Propensity Score Matching techniques, and summarized findings in a detailed technical document outlining its high-level usage, as well as how it can be applied.
Full Stack Developer
- Redesigned YNCN pages to match wire frame specifications, using Flask, JavaScript, CSS, and Bootstrap. This resulted in 104% more page views, 80% longer average session duration, and 63% lower bounce rate, compared to.
- Developed a RESTful API for a paperless sharing of companies' information using Python, Flask, and the Google Drive API, saving $10,000 annually.
Software Developer
- Automated over 95% of legacy alumni email creation requests using Python and Selenium, saving over 150 hours and approximately $3,500 in lost productivity annually.
It Help Desk Work Study Student
- Automated the checking of printer ink and paper levels using Python and Selenium and sent notification emails to the IT Help Desk email.
Tech Intern
- Rebuilt multiple webpages on a user-friendly Wordpress platform.
- Ran a weekly computer literacy tutoring class for seniors
- Provided general technical support
- Upgraded computer hardware as needed.
Entertainment Coordinator
- Managed and proactively sought out entertainment groups for special events
- Coordinated volunteers for weekly weekend events
Cashier
Sales Floor Associate
Kuba Wernerowski education
Honours Bachelor Of Science, Mathematics, Statistics, And Computer Science
High School, 3.96 Gpa
Frequently asked questions about Kuba Wernerowski
Quick answers generated from the profile data available on this page.
What company does Kuba Wernerowski work for?
Kuba Wernerowski works for Mercor.
What is Kuba Wernerowski's role at Mercor?
Kuba Wernerowski is listed as AI Trainer at Mercor.
Where is Kuba Wernerowski based?
Kuba Wernerowski is based in Toronto, Ontario, Canada while working with Mercor.
What companies has Kuba Wernerowski worked for?
Kuba Wernerowski has worked for Mercor, Cohere, The Alcohol And Gaming Commission Of Ontario, Zesty.Ai, and Hsbc.
How can I contact Kuba Wernerowski?
You can use AeroLeads to view verified contact signals for Kuba Wernerowski at Mercor, including work email, phone, and LinkedIn data when available.
What schools did Kuba Wernerowski attend?
Kuba Wernerowski holds Honours Bachelor Of Science, Mathematics, Statistics, And Computer Science from University Of Toronto.
What skills is Kuba Wernerowski known for?
Kuba Wernerowski is listed with skills including Python, Data Analysis, Data Structures, Teamwork, Mathematical Modeling, Mathematics, Html5, and Javascript.
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