Headline

Decision Analytics Associate @ ZS | Pharma & Healthcare Commercial Strategy | MECE & Hypothesis-Driven Problem Solving | Python, R, SQL, Statistical Modeling, GenAI | ETL & NLP Pipelines | Forecasting, Segmentation

About

With over 2+ years of consulting experience and 1+ years of turning messy healthcare and pharma data into decisions people can act on. At ZS, I've analyzed HCP prescribing and vaccine-adoption behavior across 7 therapeutic areas, and built 20 automated Power BI dashboards that cut manual reporting time by 45% — replacing scattered spreadsheets with a single self-serve decision layer for senior consultants. I started as an engineer (Electronics & Communications), which is where I learned to think in systems. That habit stuck — today I work in Python, SQL, and statistical modeling, and I'm actively building toward predictive modeling and causal inference as I take on more complex client problems. I don't deliver charts — I deliver decisions. Every analysis I run is built to answer "so what?" and "now what?" for the person reading it. What I do: → End-to-end healthcare analytics — data cleaning, EDA, statistical modeling, insight generation (Python, SQL) → HCP behavior and treatment/vaccine uptake analysis for market research and demand forecasting → Survey analytics and data-validation workflows for high-stakes pharma studies → Power BI dashboards and automated reporting → Exploring GenAI and LangChain to automate analysis at scale Currently building: predictive modeling, causal inference, and business-impact quantification — the skills that separate reporting from decision science. Technical toolkit: Python • SQL • Power BI • Tableau • Excel • Machine Learning • NLP • GenAI • LangChain • Statistical Modeling Industries: Pharma • Healthcare • Market Research • Clinical & Commercial Analytics • HCP Analytics Open to Data Analyst, Data Scientist, and Analytics Consulting conversations — feel free to connect via the Contact Info section.

Location

Delhi

AI stack

claude code

claude

codex

gemini

langgraph

notebooklm

Work experience

Decision Analytics Associate at ZS, May 2025 - Present · 1 yr 4 mos, Analyzed Healthcare Provider (HCP) prescribing and vaccine-adoption behavior across 7 therapeutic areas using regression, cohort analysis, identifying key drivers of treatment uptake that informed client market-entry and demand-forecasting strategy. Built and automated 20 Power BI dashboards consolidating fragmented data sources into a single decision layer, cutting manual reporting time by 45% and giving senior consultants self-serve access to insights. Engineered end-to-end data pipelines in Python (Pandas, NumPy) and SQL to clean, transform, and model large pharma datasets, reducing data-readiness turnaround from 50 days to 35 days for high-stakes studies. Applied statistical modeling (scikit-learn) to estimate market demand, achieving 70% reduction in forecast error — strengthening the quantitative basis for client forecasting. Translated ambiguous client questions into structured analyses that directly informed C-level commercial decisions for top-5 pharma manufacturer.

Data Analyst at EY, Jul 2024 - May 2025 · 11 mos, Delhi, India, Delivered data analysis and reporting across 10 business engagements using SQL and Excel, enabling stakeholder teams to cut decision turnaround time by 40% make faster, evidence-based decisions. Designed and ran ETL and data-validation workflows that improved data quality and eliminated 35% of recurring reporting errors. Translated business requirements into analytical outputs, producing insight reports that directly supported "client operations planning" team.

Data Analyst Intern at EY, Aug 2023 - Oct 2023 · 3 mos, Delhi, India, Supported senior analysts on live client data projects, gaining hands-on experience in data cleaning, validation, and reporting under professional-services deadlines. Contributed to Pesticide Registry that was used by the engagement team to work on pesticides for govt of India to provide clear insights on which pesticide to use on which state.

Education

B.tech, Electronic and Communications Engineering Technology., Maharaja Agrasen Institute Of Technology, Delhi

Consultancy