Bio Generator
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Summary
Developed a system to generate customized professional bios using LLMs.
About
Highly analytical Data Scientist with over two years of experience leveraging advanced marketing analytics and machine learning solutions to drive significant business results. Expertise includes customer segmentation, uplift modeling, and causal inference, consistently cultivating data-driven frameworks that enhance marketing effectiveness. Proven track record of developing innovative predictive models that promote substantial GMV growth for leading clients.
Work
Blend360
|Data Scientist
Hyderabad, Telangana, India
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Summary
Led advanced marketing analytics initiatives for Walmart, leveraging machine learning to drive significant business results and incremental GMV growth.
Highlights
Developed propensity and uplift models (Metalearner/ITE) to identify high-value households for targeted direct mail campaigns, driving $22.2M in incremental GMV.
Designed and executed causal inference and synthetic control approaches to accurately measure campaign lift and retention impact for multi-channel strategies.
Evaluated causal impact of direct mail catalogs using response and GMV models, achieving over 80% accuracy in predicting incremental spending and purchase probability.
Built robust Python/SQL pipelines for transaction-level data processing, feature engineering, and model scoring, enhancing data-backed decision-making.
Delivered 15+ advanced analytics projects for Walmart, covering campaign measurement, customer segmentation, incrementality modeling, and retention analysis.
Blend360
|Associate Data Scientist
Hyderabad, Telangana, India
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Summary
Developed an end-to-end NLP solution for customer feedback analysis, enhancing sentiment and entity extraction across hospitality and retail sectors.
Highlights
Built an end-to-end NLP solution to analyze large-scale customer reviews across hospitality and retail, utilizing FLAIR, Stanza, and VADER for entity extraction, clustering, and sentiment analysis.
Solved key NLP challenges, including cataphora resolution, over-clustering, and entity-level sentiment scoring, to improve analytical accuracy.
Education
Shiv Nadar University
Greater Noida, Uttar Pradesh, India
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B. Tech
Computer Science and Engineering
Skills
Languages and Tools
Python, SQL, PySpark, MS Excel, Streamlit.
Libraries/Frameworks
NumPy, Pandas, Scikit-Learn, Matplotlib, Linear Regression, Logistic Regression, Decision Trees, Random Forest, KNN, NLP, XGBoost, FLAIR, Stanza, VADER, Stable Diffusion, Dreambooth, LoRA (Low-Rank Adaptation), Marvin.
Analytics
Customer Segmentation, Synthetic Control, A/B Testing, Retention Analysis, Uplift Modeling, Causal Inference, Propensity Modeling.
Domains
Retail Analytics, Direct Mail Targeting, Marketing Campaign Measurement, Customer Feedback Analysis.
Projects
Personalized Image Creation
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Summary
Designed and deployed a brand-personalized image generation system.