Data-driven professional with SQL, Python, and Machine Learning expertise to solve business challenges and optimize performance.
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ZS Associates
Data Scientist
June 18, 2026 – Present
E-Commerce-Customer-Analysis-and-Insights
January 27, 2025 – January 27, 2025
E-Commerce-Customer-Analysis-and-Insights — GitHub repository
View ProjectSkincare-Product-Recommendation
November 19, 2024 – November 26, 2024
Skincare-Product-Recommendation — GitHub repository
View ProjectImage-To-Text
November 8, 2024 – November 8, 2024
We are Building a GenAI powered application that will take images as an input and will describe an image
View ProjectHealth-Buddy
November 7, 2024 – December 15, 2024
Here, We will be Leveraging the Power of LLMs to Build Healthcare Advisor
View ProjectPrepMaster---Master-Your-Interview--Ace-Your-Career
November 6, 2024 – November 9, 2024
The Smart Interview Question Generator is a Streamlit web app that uses **Google Generative AI to generate interview questions based on a given topic. It provides questions categorized by difficulty (easy, medium, hard) and type (technical, situational, behavioral, conceptual, applied, scenario-based), along with helpful hints or explanations
View ProjectPredicting-Shipment-Timeliness-with-Machine-Learning
September 24, 2024 – September 24, 2024
This project explores customer and shipment data from an international e-commerce company that specializes in selling electronic products.
View ProjectA-Data-Driven-Model-for-Targeted-Socio-Economic-Interventions
September 21, 2024 – September 22, 2024
The goal of the model is to classify countries into three distinct categories based on various socio-economic factors such as child mortality, exports, health, imports, income, inflation, life expectancy, total fertility rate, and GDP per capita.
View ProjectOptimizing-Booking-Retention-with-Cancellation-Prediction
September 10, 2024 – September 25, 2024
The Hotel Booking Cancellation Prediction Model predicts the likelihood of a booking cancellation using factors like lead time, room type, customer segment, and past cancellations. This helps hotels manage overbooking and improve customer retention strategies, optimizing revenue and operational efficiency.
View ProjectCultural Fit Analysis
The candidate's projects indicate a strong interest in applying data science to diverse problems, which aligns with an innovative and problem-solving culture. However, the lack of team-based projects or professional experience beyond a future start date makes it difficult to fully assess cultural fit. The projects are all personal, which limits insight into collaboration and communication styles.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.