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Ananya GuptaAG
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Ananya Gupta

@ananyagupta1

Data Analyst turning large datasets into actionable insights for life sciences and finance.

India
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What I'm looking for

I’m looking for a role where I can build scalable data pipelines and analytics dashboards, run feasibility/cohort analyses for real-world evidence, and collaborate with teams to turn complex healthcare and financial data into decisions.

I’m a Data Analyst with 1.5+ years of combined experience across healthcare analytics, financial data engineering, and scalable data pipeline development at ZS Associates, BlackRock, and Discover Dollar. I translate large-scale datasets into clear, decision-ready insights using SQL, Python (Pandas, Polars, PySpark), and BI visualization tools like Tableau and Power BI.

At ZS Associates, I synthesized actionable insights from large-scale healthcare claims and clinical datasets (2M+ records) through rigorous exploratory data analysis in SQL and Excel. I also supported Real-World Evidence (RWE) studies by formulating feasibility assessments and cohort analyses—defining patient cohorts, inclusion/exclusion criteria, and data sufficiency benchmarks—while delivering high-integrity outputs through systematic validation and QC checks.

Earlier at Discover Dollar, I architected robust, scalable ETL pipelines processing 10 GB of data by combining PySpark, Polars, and Python, improving end-to-end processing time by 20%. I optimized workflows on Databricks and cloud-based platforms, and integrated Gen-AI capabilities into data engineering to accelerate transformation tasks and reduce manual effort.

At BlackRock, I built a unified Package Production Dashboard in Tableau to consolidate 3+ KPIs, saving stakeholders 5 hours/week. I also improved data reliability and system uptime by engineering exception-handling logic, automated recurring pipelines using Python and SQL, and built configuration-driven integrations with YAML and JSON—backed by hands-on project experience in NLP and computer vision with tools like OpenCV and MediaPipe.

Experience

Work history, roles, and key accomplishments

ZL
Current

Decision Analytics Associate

Nov 2025 - Present (8 months)

Synthesized actionable insights from large-scale healthcare claims and clinical datasets using SQL and Excel for life sciences clients. Conducted feasibility assessments and cohort analyses to support Real-World Evidence (RWE) studies and delivered validated outputs via systematic data validation and QC checks.

DD

Analytical Engineer Intern

Discover Dollar

Aug 2025 - Nov 2025 (3 months)

Architected scalable ETL data pipelines processing 10 GB of data using PySpark, Polars, and Python to reduce end-to-end processing time. Optimized Databricks/cloud workflows and integrated Gen-AI capabilities to accelerate data transformation tasks.

BlackRock, Inc. logoBI

Data & Software Intern

Jan 2025 - Jul 2025 (6 months)

Built a unified Package Production Dashboard in Tableau to consolidate key performance metrics and reduce manual status tracking time. Improved data reliability and uptime in the Indices system by implementing exception-handling logic, and automated recurring data processing/export workflows using Python and SQL with Pandas-based validation.

Education

Degrees, certifications, and relevant coursework

MT

Manipal Institute of Technology

Bachelor of Technology, Computer Science Engineering (Artificial Intelligence)

Activities and societies: Head of Videography, Photography Club, MIT Bengaluru (Jan 2023 - Sept 2023); Student Volunteer, Volunteer Services Organization (VSO) (Jan 2022 - Jan 2025).

Completed B.Tech in Computer Science Engineering (Artificial Intelligence) at Manipal Institute of Technology, Bengaluru, graduating in July 2025.

PI

PwC Acceleration Centre, India

Training Program, Analytics & AI

Completed PwC Launchpad: Analytics & AI, an intensive 6-month training program covering IT fundamentals, RDBMS, SQL, and data engineering foundations (Feb 2024 - Jul 2024).

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