Consumer Affairs Lead Conversion Case Study
Built a predictive modeling pipeline (Logistic Regression, XGBoost), achieving ROC-AUC ≈ 0.68 and 2.3–2.4× lift in top-decile leads; shipped Power BI dashboards for stakeholders.
I build end-to-end ML and AI systems—RAG pipelines, NLP workflows, and chatbots—from data ingestion and evaluation to deployment—focused on reliability, scalability, and measurable business impact.
I design, develop, and deploy machine learning and AI solutions end-to-end — from data preparation and modeling to deployment, monitoring, and decision support. My work blends strong statistical foundations with modern ML, NLP, and GenAI workflows.
Built a predictive modeling pipeline (Logistic Regression, XGBoost), achieving ROC-AUC ≈ 0.68 and 2.3–2.4× lift in top-decile leads; shipped Power BI dashboards for stakeholders.
Designed AI agents for search and optimization (maze, n-Queens, Connect-4) using BFS/DFS/A*, Hill-Climbing, Simulated Annealing, and Minimax+Alpha-Beta.
Built a multi-tenant RAG teaching assistant where professors upload course PDFs/PPTX and students get grounded Q&A scoped to their professor and course.
Compared supervised learners (LogReg, PCA+MLP, CNN, Wide and Deep). Tuned optimizers and evaluated across datasets.
Designed A/B tests, analyzed KPIs, and improved marketing ROI by 22% with budget allocation recommendations.
Forecasted Shopify and Alibaba using ARIMA and exponential smoothing to support investor risk profiling.
Performed data wrangling, EDA, and visualization to uncover trends in ad spending, brand presence, and engagement.
Developed an end-to-end RAG system using LangChain and OpenAI LLMs to answer from city PDFs and pages.
Ingested CFPB guides, generated Q&A pairs, fine-tuned TinyLlama with LoRA, and shipped a chatbot.
Predicted hourly demand (92%+ accuracy) with weather and trip features using tuned models for planning.
CVR College of Engineering — Hyderabad
Southern Methodist University — Dallas
I'm actively seeking opportunities in Data Science and AI. Let's discuss how I can contribute to your team.