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Data Scientist Intern
Omdena• May 2023 - June 2023
In the dynamic landscape of the grocery industry, our project aimed to revolutionize the way customers shop for essential supplies by developing a sophisticated Groceries Recommendation System. As a valued member of the project team, I played a crucial role as a Data Scraper, contributing to the success of the system by ensuring the availability of accurate and reliable data for generating personalized recommendations. Key Responsibilities: Week 1: Data Collection Gather data on grocery stores in Berlin, including pricing, product availability, and quality. Week 2: Data Preprocessing and Cleaning Clean and preprocess the collected data Create a database of grocery stores and products. Week 3: Data Analysis and Pattern Identification Analyse the collected data to identify trends and patterns in pricing, product availability, and quality Explore machine learning algorithms suitable for building a recommendation engine. Week 4: Recommendation Engine Development Develop and test a prototype recommendation engine using the selected machine learning algorithms Incorporate user feedback to improve the recommendation engine. Week 5: User Interface Design Design a user interface that allows users to input their preferences and receive personalized recommendations for grocery stores in their area Create a mockup of the user interface. Week 6: User Interface Development Implement the user interface design and integrate it with the recommendation engine Test the user interface with a small group of users. Week 7: Evaluation and Refinement Evaluate the accuracy and effectiveness of the recommendation engine Refine the recommendation engine based on the evaluation results. Week 8: Final Testing and Deployment Conduct final testing of the recommendation engine and user interface Deploy the recommendation engine and user interface to a web server or cloud platform
Education
JNTU, Kakinada (Jawaharlal Nehru Technological University)
Mechanical, B.Tech• June 2018 - July 2022