NIKHIL NIMJE
@nikhilnimje
Healthcare Data Analyst using SQL, Python, Snowflake, and GenAI to drive actionable insights.
What I'm looking for
I’m a Healthcare Data Analyst with 3+ years of experience across pharma commercial analytics, patient-level data, and real-world data (RWD), spanning Oncology and Vaccines.
I build scalable analytics solutions and dashboards using SQL (Snowflake), Python, Dataiku, and BI tools like Tableau and QlikView—turning complex datasets into clear, decision-ready insights.
What sets me apart is combining analytics with AI/ML and Generative AI (Prompt Engineering, LightGBM, LLMs, RAG) to improve accuracy, speed, and business outcomes—such as increasing reporting efficiency and delivering cost savings.
I thrive in cross-functional environments, partnering with Commercial, Medical, Marketing, and Strategy to validate KPIs, run hypothesis testing and A/B testing, and deliver forecasting and patient analytics that support smarter planning.
Experience
Work history, roles, and key accomplishments
Senior Analyst
Evalueserve
Aug 2025 - Present (11 months)
Built scalable healthcare and commercial analytics using SQL, Python, Snowflake, and Dataiku, including AI/ML and generative AI for patient analytics and HCP analytics. Delivered reporting-efficiency and accuracy improvements through automated pipelines and dashboards.
Performed field force effectiveness and field analytics using HCP and payer data, supporting territory performance, HCP targeting, and execution insights. Streamlined MBR/QBR reporting with automated SQL/PySpark/Dataiku pipelines to improve reporting accuracy and reduce manual effort.
Education
Degrees, certifications, and relevant coursework
YCCE Nagpur
Bachelor of Engineering, Civil Engineering
2017 - 2021
Activities and societies: Claims data analysis, payer mix, cost analysis, patient adherence, real-world evidence (RWE).
Analyzed 250K+ claims records using SQL, Python, and Dataiku with predictive modeling to identify utilization patterns, patient adherence gaps, and high-cost patient segments. Uncovered 18% cost savings through healthcare forecasting and high-cost patient segment detection.
LBSV Bhandara
Higher Secondary (Class XII)
2016 - 2017
Built interactive Tableau dashboards tracking payer mix, out-of-pocket costs, and high-cost patient segments. Identified provider network inefficiencies that informed pricing negotiations and improved market access for 15% more patients.
Availability
Location
Authorized to work in
Social media
Job categories
Skills
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