Turning data into actionable insights in the modern era.

Aniruddha Parthasarathy

( Ani Partha )

Data Professional and AI Engineer

            15+ million
            Records related to marketing, transit, clean-energy, real estate, and biomechanics analyzed
          

            30 milliseconds
            Model forecasting lead time achieved with ~98% accuracy for rehab devices
          

            65%
            Increase in user acquisition with RAG-powered solutions
          

Core stack: Python, SQL, GenAI, Tableau, and Google Cloud

View Project Showcase

Experience Snapshot

Epsilon

Data Science Consultant Aug '26 – Present

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              Tracked and managed experimentation runs, parameters, precision-recall curves, and serialized artifacts for model governance.

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              Applied regularization across high-dimensional demographic and spend features, achieving a good holdout validation score.
            

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              Developed Power BI dashboards with KPI tracking cards to translate campaign response indices and average order value lift for stakeholders.
            

Dreamline AI

AI Engineer Jul '25 – Jul '26

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              Managed delivery across the data engineering team for semi-agentic clean-energy incentive data processing under SAFe principles.
            

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              Maintained Git-based workflows, PR reviews, and weekly audits for version control, compliance, and tracking sprints during Agile delivery cycle.

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              Deployed a reusable RAG system as a AI-powered chatbot for live semantic search over documentation.
            

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              Partnered with marketing to implement a smart vector search-powered funding recommendation system, improving user acquisition.
            

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              Established data-quality standards, transformed data, and integrated the database schema in the backend.

Metropolitan Transportation Authority

Data Analyst Aide Sept '24 – Dec '24

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              Investigated the relationship between transit crime and ridership with EDA, hypothesis testing and correlation analysis for safety planning.
            

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              Applied statistical thresholding for proactive detection of low subway ridership anomalies, flagging days with high crime complaints.
            

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              Presented findings via custom dashboards, translating analytics into actionable strategies for non-technical stakeholders.
            

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              Prepared blog posts on the latest AI trends and ad hoc reports to synthesize insights for senior leadership.
            

iMOV Motion Tech

Data Scientist Jun '16 – Jan '21

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              Collaborated with a hospital on rehab devices to correct patient walking patterns via Functional Electrical Stimulation.
            

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              Preprocessed and partitioned multivariate gait data using moving-average smoothing and spatial transformation techniques.
            

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              Benchmarked parametric time-series models to evaluate forecasting accuracy and minimize input latency.
            

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              Engineered an ARIMA model with a thresholding algorithm with good prediction accuracy for feet heel-to-ground contacts.
            

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              Achieved early event detection and presented findings in a published paper at an international conference (ACODS 2020).
            