Data Scientist II - Exl
As a Data Scientist II, I led the development of an advanced pricing engine using an XGBoost model, achieving a significant reduction in SMAPE to 33.5. This engine optimized pricing for both existing and new products. I also implemented a strategic clustering approach for product categorization, creating distinct models for each cluster. This innovation further improved pricing accuracy, lowering SMAPE to 26.8. Additionally, I eliminated the need for manual interventions in the pricing process by incorporating factors like seasonality, market trends, time lags, and product attributes, saving up to two days of effort.
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Data Scientist I - Uber
At Uber Eats, my role involved leveraging data science to enhance customer experience and business strategy. I segmented customers using clustering algorithms, which led to tailored offers and a 28% increase in engagement and ROI. Additionally, I developed a menu matching strategy using the TF-IDF ML algorithm to analyze pricing discrepancies between Uber Eats and competitors, identifying 45% of menus with over 20% price differences. Furthermore, I conducted Twitter sentiment analysis using NLP algorithms, which resulted in strategic insights that improved the NPS score by an average of 0.7 points across various geographies.
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Business Intelligence Engineer - Amazon
In my role, I focused on enhancing e-commerce operations and decision-making processes. I compiled and published weekly and monthly business reviews, emphasizing key metrics for e-commerce efficiency. I developed a web scraping tool to gather real-time data from Global Selling merchants, significantly reducing data retrieval time from 2-3 days to immediate availability. This tool was integrated into a dashboard, facilitating quicker, more informed decisions. Additionally, I orchestrated multiple data pipelines, employing ETL Transform and Load jobs, which streamlined data consumption and supported cross-functional teams in responding rapidly to business needs.
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Associate analyst - United Airlines
I developed a collaborative-based flight recommendation engine for United.com, significantly enhancing user experience and contributing to an incremental monthly revenue increase of $2 million. Furthermore, I analyzed customer purchase data across different segments, formulating strategies to improve real-time decision-making. This approach effectively balanced price sensitivity with personalized recommendations, resulting in a 12% increase in the rate of customers accepting these recommendations.
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