dheeraj sudanagunta

Built AI/ML and analytics solutions using Python, SQL, Snowflake, Amazon Bedrock, Azure OpenAI, and LangChain. Developed LLM-powered RAG applications, workforce analytics models, and data pipelines across enterprise data sources. Also supported A/B testing, Tableau/Power BI reporting, and responsible AI practices including PII protection, model explainability, and bias evaluation.

Worked as Apprentice at CHS Inc..

- Researched and implemented deep learning models in PyTorch and TensorFlow on GCP for applied ML coursework and capstone research, including CNN architectures and time-series forecasting.

- Collaborated with faculty on applied research projects in data analytics, producing working prototypes and written research reports.

Designed causal inference study using difference in differences and propensity score matching on a 3.1M row consumer dataset to isolate a treatment effect from concurrent seasonality and marketing effects, published in a peer reviewed workshop. Built survival analysis and gradient boosted models in Python (lifelines, XGBoost) for a subscription retention research project, benchmarking against logi

Worked as Project Engineer - Data & AI at Wipro.

Owned payment authorization, fraud, and customer analytics in a financial services environment covering 3.2M daily transactions and 18M customers, driving a 2.3 percentage point lift in authorization rate through routing and retry model changes. Built XGBoost churn, propensity, and payment failure recovery models across credit cards, loans, and wealth, lifting targeted campaign conversion by 17 pe

Worked as Student Intern at BSNL LTD.

Pursued a Master's degree in Advanced Data Analytics, engaging in research and coursework in machine learning and data science.