About Me
I am Vishakha Gupta, a product-focused analytics professional with over four years of experience leveraging data to drive user growth, retention, and strategic decision-making. I have led initiatives that improved user retention by 20%, increased onboarding completion by 15%, and reduced manual reporting time by more than 10 hours per month. With a background spanning digital health, SaaS, and strategic consulting, I specialize in analyzing user behavior, designing experiments, and delivering insights that influence product roadmaps and go-to-market strategies. I work effectively across cross-functional teams to align product development with business goals and create solutions that deliver measurable impact throughout the product lifecycle.
Utilized predictive analytics to optimize inventory management and provide actionable business recommendations. Analyzed multi-channel marketing data to optimize budget allocation and improve ROI. Built a CLV model and segmentation analysis to enhance customer retention and value optimization. Built an explainable CatBoost model with SHAP insights, deployed via Streamlit for real-time diabetes risk scoring and lifestyle recommendations. Enhanced analytical capabilities in observational health research using data visualization and NLP. Applied statistical modeling to assess cardiovascular risk in patients with hypertension. Optimized ad placement & analyzed conversion rates using statistical tests. Explored bike-sharing trends & built predictive models. Used clustering techniques to identify customer segments in retail data. Analyzed customer purchasing behavior & sales trends. Studied electric vehicle sales & market trends using data analytics. Built econometric models to analyze healthcare spending patterns. Analyzed hospital admission patterns and resource allocation. Explored marathon runner data to uncover performance trends. Performed sentiment analysis on text data using NLP techniques. Dived into Netflix's content catalog and growth patterns using SQL.Industry Collaborations & Consulting Projects
Optimizing Inventory with Predictive Analytics at Clarks
Marketing Mix Modeling with Ekimetrics
Customer Lifetime Value & Segmentation with Champions
🤖 Predictive Modeling Projects
GlucoGuide: Diabetes Prediction & Lifestyle App
Published Papers & Reports
Advancing the OHDSI Analysis Viewer
Evaluation of Cardiovascular Risk Scores
Featured Projects
A/B Testing for Ad Performance
Time Series Forecasting for Bike-Sharing Demand
Customer Segmentation Using Machine Learning Model
E-commerce Sales Trends & Consumer Behavior Analytics
EV Market Analysis
Healthcare Cost Analysis Using Econometric Modeling
Hospital Resource Optimization
Marathon Performance Analytics: Trends & Predictions
Sentiment Analysis of Customer Reviews Using NLP
Netflix SQL Analysis: Content & Growth Trends