I'm Shreyas Dasari, a data-driven professional based in Boston, MA, with a background in turning messy data into decision-ready analytics products and dashboards. I specialize in Python, SQL, BI visualization, and applied ML to improve data accuracy, streamline workflows, and boost stakeholder adoption across product, operations, and research contexts. I enjoy translating ambiguous requirements into measurable KPIs, building end-to-end data pipelines, and shipping interactive AI-enabled analytics that empower teams to simulate scenarios and make data-informed decisions.

Shreyas Dasari

I'm Shreyas Dasari, a data-driven professional based in Boston, MA, with a background in turning messy data into decision-ready analytics products and dashboards. I specialize in Python, SQL, BI visualization, and applied ML to improve data accuracy, streamline workflows, and boost stakeholder adoption across product, operations, and research contexts. I enjoy translating ambiguous requirements into measurable KPIs, building end-to-end data pipelines, and shipping interactive AI-enabled analytics that empower teams to simulate scenarios and make data-informed decisions.

Available to hire

I’m Shreyas Dasari, a data-driven professional based in Boston, MA, with a background in turning messy data into decision-ready analytics products and dashboards. I specialize in Python, SQL, BI visualization, and applied ML to improve data accuracy, streamline workflows, and boost stakeholder adoption across product, operations, and research contexts.

I enjoy translating ambiguous requirements into measurable KPIs, building end-to-end data pipelines, and shipping interactive AI-enabled analytics that empower teams to simulate scenarios and make data-informed decisions.

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Work Experience

Data Scientist at Humanitarians AI
February 1, 2025 - Present
Delivered 2× faster research planning outputs by designing a hierarchical reasoning agent in Python that decomposed prompts into structured sub-tasks for faster multi-step decision support. Reduced literature review effort by 70% via ResearchPal, a conversational assistant that retrieves, ranks, and summarizes papers (including arXiv ingestion) using embeddings and transformer-based summarization. Built end-to-end data pipelines to ingest inputs, clean and validate data, and generate structured outputs for downstream analytics. Increased product engagement by 45% by shipping interactive analytics-style AI apps (Streamlit + Python) for actionable insights and scenario simulations. Collaborated with product and research stakeholders to translate ambiguous requirements into measurable KPIs, experiment metrics, and interpretable outputs.
AI Engineer / Data Analyst at Founderway
January 1, 2024 - June 1, 2024
Improved AI chatbot accuracy and engagement by 40% by integrating Azure AI Search with chat completions and semantic result parsing in JavaScript. Designed and evaluated a BERT-based semantic similarity model to match founder profiles, increasing match quality by 35% and reducing false positives. Built SQL-backed data retrieval logic to support profile comparison, ranking, and analytics validation. Documented and productionized an end-to-end Azure AI Search pipeline (data ingestion, indexing, query patterns), accelerating onboarding and reducing iteration time for new engineers. Collaborated with cross-functional teams to translate business goals into measurable model performance metrics and user-facing analytics.
Programmer Analyst at Cognizant
April 1, 2021 - November 1, 2021
Delivered 98% accurate outputs across 78 monthly data requests by analyzing operational datasets, validating inputs, and standardizing SQL-based reporting logic. Reduced processing time by 40% by automating repeatable data cleaning, validation, and reporting workflows. Led global incident triage and root-cause analysis using operational metrics and trend analysis, reducing downtime by 70% and preventing $500K+ in business losses. Executed high-pressure production issue resolution by prioritizing data signals, coordinating stakeholders, and delivering clear, data-backed remediation plans within 3 hours.

Education

Master of Science in Information Systems (Computer Software Engineering) at Northeastern University, Boston, MA
January 11, 2030 - April 9, 2026
Bachelor of Engineering in Mechanical Engineering at Pune University, Pune, India
January 11, 2030 - April 9, 2026

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Professional Services