Christopher Kershaw
Summary
Junior Data Scientist accomplished in compiling, transforming and analyzing complex information through software. Experienced in machine learning and large dataset management. Demonstrated success in identifying relationships and building solutions to business problems.
Overview
1
1
years of professional experience
Work History
Analytics Consultant
HelloFresh
09.2022 - 04.2023
- Collating supplier's performance across quality, pricing and lead times from different data sources provided by different teams
- Performing detailed EDA and feature engineering selection process for model development
- Developing a probabilistic scored model based on the three pillars to dynamically optimize purchasing from suppliers
- Models like Logistic Regression, Decision Tree, NB and learning techniques like Ensemble learning were used
- The project lead has been projected to optimize the logistics and reduce overheads by at-least 15% during the testing phase.
Project intern
Avient
05.2021 - 07.2021
- Performed a comprehensive financial analysis in excel of potential suppliers of capital goods
- Designed a tool that could be used to consolidate product numbers from different suppliers
- Developed a presentation to recommend one supplier for the company's needs
Education
Master of Business Analytics -
Schulich School of Business
Toronto, ON05.2023
Bachelor of Arts Honours - Applied Economics
Queen's University
Kingston, ON05.2022
Skills
- Python
- SQL
- Tableau
- R
- Excel / Excel VBA
- Algorithms
- Data Pipelining
- Exploratory Data Analysis
- Data Mapping
- Data Profiling
- Use Cases
- Machine Learning
Timeline
Analytics Consultant
HelloFresh
09.2022 - 04.2023
Project intern
Avient
05.2021 - 07.2021
Master of Business Analytics -
Schulich School of Business
Bachelor of Arts Honours - Applied Economics
Queen's University
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