Data Scientist

• Executed end-to-end AB test experiments – test sizing and analysis, delivering valuable insights to the product team.
• Identified key features of hotel room upgrades leading to higher value purchases.
• Enhanced the internal experimentation analysis tool, saving time and improving user experience.

• Designed a deep learning system using Mask R-CNN pre-trained model for rock particle segmentation.
• Employed computer vision techniques with OpenCV for robust statistical analysis of the rock particles.

• Improved optimizer recommendations with customer constraint checks, delivering more personalized suggestions.
• Amplified stakeholder understanding with insightful Plotly charts displaying key internal metrics.
• Strengthened the backend Flask API code reliability by elevating the test coverage to 80%.
• Gave a company-wide presentation on unit testing to foster the practice and usage across all teams.

• Increased retention rate by 60% through targeted product segmentation analysis for users.
• Developed a Python telegram bot which reduced customer support backlogs by 40%.
• Spoke at a training of 100+ members on best practices in preventing scams in the finance industry.

• Led a 4-member sub-data team, aiding the team lead track data pre-processing and ingestion progress.
• Developed Python scripts for automating API data extraction which reduced ingestion time by 35%.