Data Science Research Intern
Foamcar
01.2023 - 07.2023
- Analyzed vehicle telemetry and sales data to develop predictive machine learning models that improved maintenance scheduling accuracy by 25% and enhanced customer retention by 10%.
- Developed data-driven dashboards and visualizations in Tableau that increased decision-making speed by 40% and led to a 20% reduction in report preparation time for stakeholders.
- Improved customer segmentation by developing advanced ML models, increasing marketing efficiency by 25% and driving a 20% rise in conversion rates.
- Demonstrated proficiency in Python, SQL and big data tools to process and analyze data efficiently. Significantly decreased processing time by 50%, enabling the team to make quicker decisions supported by accurate insights.
