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Dhananjaya Kumar Mittapalli

@dhananjayakumarmittapalli

Forward Deployed Engineer delivering data, ML, and LLM solutions for enterprise and regulated finance clients, serving 15+ portfolio managers.

United States

Message

I have driven measurable results at every stage of my career. At Community Dreams Foundation, I built the models behind PRIAM, a production ML system ranking investors for equity deals with over 80% accuracy, and pricing models that contributed to a 15% sales increase. At Natixis, I built a RAG pipeline over 10,000+ fund documents that cut analyst query time from 20 minutes to under 30 seconds. At SaksOFF5TH, I replaced a $200K per year vendor tool with an in house carrier scoring model, cutting fulfillment costs by 10%. At TheMathCompany, I led a Snowflake migration with a 140% speed gain and grew the team from 1 to 4 engineers. I also won the IEEE Best Paper Award and took 1st place in the Suno Challenge at Berklee.

Going forward, I want to work where data and AI directly drive business outcomes. My sweet spot sits between data engineering, applied ML, and LLM systems, building production RAG and agent workflows on reliable data platforms. I thrive on small, focused teams with clear ownership, owning problems end to end alongside engineers who care about craft. Longer term, I want to grow into a founding or lead data and AI role while staying hands on with code.

Experience

Work history, roles, and key accomplishments

Current

Data Scientist

Current

Community Dreams Foundation

Feb 2026 - Present (8 months)

Deployed production ML systems for finance and healthcare clients, including investor ranking, pricing optimization, and demand forecasting. Built models in Python and SQL, automated workflows, and delivered executive dashboards.

Python SQL Machine Learning Classification regression Forecasting Causal Inference Tableau Pricing Optimization Demand Forecasting

Data Science Engineer (Co-op)

Natixis Investment Managers

Dec 2024 - Jul 2025 (7 months)

Built and deployed RAG pipelines and LLM summarization systems for financial documents, and architected real-time data ingestion with Kafka. Engineered data pipelines in Python and SQL, orchestrated with Airflow, and improved data quality monitoring.

Business Insight Engineer

SaksOFF5th

Apr 2022 - Jul 2023 (1 year 3 months)

Replaced a third-party carrier selection tool with an in-house ML model, automated ETL pipelines, and designed anomaly detection systems. Built Snowflake and dbt warehouse and Tableau dashboards to support supply chain decisions.

PySpark Airflow Snowflake DBT Tableau ETL Anomaly Detection Slack Data Warehouse

Data Engineer

Saks Fifth Avenue

Aug 2020 - Apr 2022 (1 year 8 months)

Led migration of legacy databases to Snowflake, built ETL pipelines on Airflow, and engineered large-scale data processing with PySpark. Delivered forecasting and reporting projects for clients using Tableau and MicroStrategy.