About
Data Analyst with 1+ year of experience in large-scale data analysis, trend detection, statistical modeling, and cross-functional project execution. Proven ability to identify behavioral patterns, detect anomalies, define key metrics, and improve operational processes through data-driven insights. Experienced in SQL (Snowflake), Python, dashboard development, ETL automation, and statistical validation. Strong background in risk analysis, data integrity, and stakeholder collaboration. M.Sc. in Medical Bioinformatics with expertise in quantitative research and structured problem solving.
Skills & Expertise (25)
Work Experience
Data Science Intern
Code Clause | Oasis Infobyte
Sep 2023 - Oct 2023
Developed machine learning models and performed exploratory data analysis. Applied statistical techniques for predictive insights and model validation.
Research Intern
Computational Data Analysis
Nov 2023 - Apr 2024
Gathered and analyzed structured and unstructured datasets for computational research projects. Performed statistical validation and data transformation for biological datasets. Created detailed analytical documentation equivalent to BRD/PRD formats for cross-functional research teams. Collaborated with data scientists and engineers to validate models and ensure analytical accuracy.
Data Analyst
McKesson Compile India Pvt Ltd
Apr 2024 - Present
Analyzed large healthcare datasets to identify behavioral trends, anomalies, and performance deviations using SQL and statistical techniques. Designed monitoring dashboards to track KPIs and detect irregular patterns, improving reporting accuracy by 95%. Conducted outlier detection and checksum validation to ensure high data integrity and reliability. Defined and tracked operational metrics for customer segmentation and churn prediction, contributing to a 20% reduction in churn. Leveraged time-series analysis to monitor engagement patterns and forecast performance risks. Automated ETL workflows using advanced SQL (CTEs, window functions, stored procedures), improving operational efficiency and reducing manual errors. Identified process gaps and implemented structured validation frameworks to enhance reporting consistency. Partnered with product, business, and analytics teams to scope AI-driven solutions and support UAT processes. Communicated findings through structured documentation and executive-ready dashboards.
Education
M.Sc. Medical Bioinformatics - Sri Ramachandra Faculty of Engineering and Technology
2022 - 2024 · India
B.Sc. Plant Biology & Plant Biotechnology - Stella Maris College
2019 - 2022 · India
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