About
Data Analyst with 4+ years of experience supporting healthcare and pharmaceutical analytics across Novartis, Viatris and Pfizer projects. Skilled in SQL, Python, Snowflake, Dataiku, data transformation, data validation, customer segmentation, regression and exploratory data analysis. Experienced in working with cross-functional stakeholders, UAT teams and brand teams to deliver reliable analytics solutions. Currently pursuing Applied Generative AI through Johns Hopkins University via Great Learning, with hands-on projects in LLMs, prompt engineering, RAG, semantic retrieval, structured outputs and LLM evaluation.
Skills & Expertise
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Work Experience
Data Analyst
Indegene Pvt. Ltd.
Apr 2021 - Jul 2025
Automated sales and calls related KPIs using Analytical Ready Data (ARD), translating stakeholder requirements into reporting-ready outputs. Integrated multi-source US pharmaceutical healthcare data through Dataiku Flow and transformed it into Reporting Ready Data (RRD) for downstream analytics. Developed Snowflake SQL validation queries and test cases, tracked defects in Jira, and partnered with UAT and brand teams to support successful deployments. Gathered and prepared HCP data from multiple sources, applying quality checks and business-defined segmentation rules to support targeted audience selection. Worked with Brand Experience Managers on validation calls and maintained process documentation in Confluence. Developed customer segmentation strategies for Pharma and Oncology products using customer responses, business rules, APLD and Xponent data. Integrated segmentation with SFMC recommendation capabilities and performed scenario identification, data reconciliation and data quality checks. Analyzed sales and marketing data using linear regression to assess the impact of marketing tactics on sales and support future planning. Performed data preprocessing, feature engineering and exploratory data analysis to prepare datasets for marketing analytics. Identified data inconsistencies against approved dataset rules and flagged issues for client correction. Detected and grouped duplicate records using Dataiku DSS and applied data linkage logic to improve data quality and processing. Analyzed Customer 360 behavior to identify productivity opportunities and support omnichannel marketing analysis. Integrated Brand Volume and Market Potential analytics to support marketing mix optimization.
Education
PGP in Data Science & Engineering - Great Learning
- 2020 · Afghanistan
PGDM - Nitte School of Management
- 2018 · Afghanistan
B.Tech in Electronics & Communication Engineering - Vignan’s University
- 2015 · Afghanistan
Certifications
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