Jean Baptiste Habyarimana

Master's

Business Analytics

Statistics

Best Buy

Data Science Consultant Emory Experiential Capstone

- Products assortment planning of the company - Refine Best Buy's product assortment by identifying products across multiple retailers which are - Analyzing whole-market transaction data to find adjacent products that complement the current - The above analysis was done to include high affinity products into Best Buy's assortment, we - Rwanda Quantas Retailing Company - Rwanda, Kigali - Business Data Analyst - Aug 20220 − August 2021 - Analyzed real time sales data, inventory levels, and customer trends to identify opportunities for improvement - Utilize Microsoft Office, Tableau, and SQL or BigQuery to create reports and presentations on a weekly basis to provide insights of KPIs (sales revenue, profit margins, and customer satisfactions - Examine customer behavior and segmentation data to identify target customer groups and develop targeted - DATA SCIENCE PROJECTS - Energy Consumption Forecasting for Smart Grids - Collect and store historical data using Amazon S3, process and aggregate data with AWS Glue for analysis - Develop time series forecasting model using Amazon SageMaker and deploy forecasting models with AWS Lambda - E-commerce Product Recommendation System - Built algorithms of item-item collaborative filtering, user-item collaborative filtering to suggest relevant products to users, thereby improving user engagement and driving sales - Text Preprocessing and Feature Extraction - Preprocess input text data removing noise, such as special characters and stop words, and perform tokenization and stemming/lemmatization - Extract relevant features from preprocessed text data, such as bag of words representations, TF-IDF, etc - Face Expression Recognizer - Utilize ML models to classify facial expressions based on the extracted features - Train the expression classifier using labeled training data to learn patterns and relationships between facial features