Data Science with 3+ years in Quality Systems, LIMS Administration, and Data Analytics in Pharma IT.
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Regulated-environment professional with 3+ years at Viatris, a global top-5 generics manufacturer, specializing in LIMS administration, GMP-compliant data workflows, and regulatory audit support. Adept at bridging Quality and IT functions through validated systems, electronic records management, and data analytics. Brings a a differentiated combination of analytical chemistry expertise and data capability with a track record of zero audit findings and 10+ hours saved weekly through validated automation. Proficient in SQL, Power BI, Python, and Advanced Excel.
Dr. B.A.M. University
Master of Science in Chemistry · Chemistry
August 1, 2020 – June 30, 2022
Dr. B.A.M. University
Bachelor of Science (CS, Chemistry, Analytical Chemistry) · CS, Chemistry, Analytical Chemistry
August 1, 2017 – June 30, 2020
Jain University
Master of Computer Applications (Data Analytics) · Data Analytics
N/A – Present
Viatris
Officer, Quality Control
December 1, 2022 – Present
Nashik, Maharashtra, India
Viatris
Trainee, Quality Control
January 1, 2022 – November 30, 2022
Nashik, Maharashtra, India
Anomaly Detection in Credit Card Transactions
June 1, 2026 – Present
Developed and deployed an anomaly detection solution in Power BI using DAX expressions and ETL pipelines, reducing false positives by 20% and contributing to a 15% reduction in financial losses. Designed interactive dashboards with slicers, line charts, and bar graphs to monitor transaction anomalies — improving fraud investigation efficiency by 25%.
Cardiovascular Disease Prediction & Analysis
June 1, 2026 – Present
Built an end-to-end ML pipeline from raw dataset to deployed predictive model using Logistic Regression and Random Forest, achieving 85% prediction accuracy on a validated heart disease dataset. Identified key risk factors (cholesterol, blood pressure) through EDA and visualized correlations using Seaborn and Plotly to support clinical data storytelling.
Sales & Support Analysis
June 1, 2026 – Present
Conducted in-depth SQL analysis across sales and support datasets using subqueries, joins, stored procedures, and window functions — delivering insights that informed a 10% revenue growth strategy. Assessed customer retention rates, top-spending customers, and churn patterns to support data-driven decision-making across the support division.
Data Science — SQL, Python, Power BI, Tableau
Naresh iT
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's background in a highly regulated industry (pharmaceuticals) and their focus on data integrity and compliance suggest a fit for organizations that prioritize robust data governance and ethical AI practices. Their project diversity, ranging from financial anomaly detection to healthcare prediction and sales analysis, indicates adaptability and a broad interest in applying data science across different domains. The pursuit of a Master of Computer Applications (Data Analytics) while working shows a proactive approach to skill development and a strong drive for continuous learning, which aligns well with a growth-oriented culture. However, the current role is not directly a Data Science role, which might require some adjustment to a purely analytical and model-building focus.
Soft Skills & Operational Fit
The candidate demonstrates strong attention to detail and compliance, as evidenced by their work in a regulated quality control environment. Their experience in liaising between Quality and IT functions suggests good cross-functional communication and problem-solving skills. The ability to automate processes and maintain audit-ready documentation indicates a methodical and organized approach to work. The volunteering experience also suggests a commitment to community and teamwork.