Varun Sagar Theegala

Associate Consultant

Bengaluru, Karnataka, India3 yrs 8 mos experience
Highly StableAI Enabled

Key Highlights

  • Led HCP targeting programs, cutting delivery timelines by 50%.
  • Designed dashboards that improved patient retention strategies.
  • Mentored peers on analytics tools, embedding best practices.
Stackforce AI infers this person is a Healthcare Analytics Specialist with expertise in data-driven product development.

Contact

Skills

Core Skills

Product AnalyticsProduct StrategyAnalytics Product DevelopmentHcp TargetingAnalytics DeliveryMarket InsightsAnalytics SolutionsData AnalysisMachine LearningMarket Research

Other Skills

Claude SkillsScaled Agile FrameworkAgile Project ManagementFlaskJiraFront-End DevelopmentDataBricksPythonGitHubPython (Programming Language)Peer MentoringChatGPTCross-team CollaborationProject ManagementTableau

About

With nearly 4 years in healthcare and pharmaceutical analytics, I design data-driven strategies, scalable products, and actionable insights that drive business impact. As a Consultant at Eli Lilly in Product Analytics, I deliver HCP and patient analytics solutions that boost efficiency and deliver measurable outcomes across multiple brands. My career has spanned HCP/HCO targeting, next-best-action (NBA) strategy, patient journey and leakage analysis, global market insights, and analytics product development. I combine technical expertise with product thinking and cross-functional collaboration to create solutions that are both impactful and scalable. Highlights of my journey include: - Led and evolved multi-semester HCP targeting and NBA programs for launch and in-line brands, cutting delivery timelines by 50% and enabling consistent stakeholder alignment. - Designed and implemented dynamic targeting frameworks that drove a 4% revenue uplift for immunology brands. - Built and deployed analytical products in Python, Flask, SQL, and Tableau/Power BI, standardizing processes and saving 1,000+ hours across teams. - Developed OTGS dashboards tracking patient journeys and leakage trends across US and 10+ global markets, guiding retention strategies and reducing drop-offs. - Mentored and upskilled peers on analytics tools and methodologies, embedding best practices across teams. Currently pursuing a Master’s in Data Science (AI/ML specialization) from Deakin University, with the goal of transitioning into a data science role by mid-2026 and applying advanced machine learning to solve high-impact problems in healthcare. My professional philosophy centers on building scalable solutions that merge analytics with business strategy, enabling teams to make faster, clearer, and more confident decisions.

Experience

Eli lilly and company

6 roles

Senior Consultant - Product Analytics

Promoted

Mar 2026Present · 0 mo

Claude SkillsProduct Analytics

Consultant - Product Analytics

Nov 2025Mar 2026 · 4 mos

Associate Consultant - BI&A POP Product

Feb 2025Nov 2025 · 9 mos

  • Driving product strategy across HCP & Patient analytics, focused on scalable design, faster turnaround, and adoption across brands and teams.
  • Analytical Products for HCP Analytics
  • Built products to generate HCP lists critical to Dynamic Targeting and promotional initiatives—standardizing processes, adding analyst-friendly functionality, and delivering meaningful time savings for downstream teams.
  • Product Strategy & Lifecycle (SAFe Agile)
  • Owned the end-to-end lifecycle: discovery, prioritization, iteration, and delivery. Ran sprints, retros, and roadmaps in Jira/GitHub, translating requirements into automated outputs and measurable product increments.
  • User-Centric Design & Adoption
  • Co-developed with end users through continuous touchpoints and feedback loops to address pain points, improve usability, and drive sustained adoption.
  • Cross-Functional Alignment & Scale
  • Partnered with medical, commercial, engineering, and analytics stakeholders to align on needs, standardize approaches, and scale capabilities as business priorities evolved.
  • Tools, Automation & Scalability
  • Built user interfaces with Python, Flask, HTML/JavaScript, Dash, HTMX. Curbed turnaround time using generative AI, modular/standardized frameworks, and parameterized components for long-term reuse. Participated in Databricks/GenAI exploration and shared use cases across BUs.
Scaled Agile FrameworkAgile Project ManagementFlaskJiraFront-End DevelopmentDataBricks+2

Associate Consultant - BI&A Immunology

Mar 2024Jan 2025 · 10 mos

  • Drove strategic analytics delivery across Immunology brands (Taltz, Olumiant, Ebglyss, Omvoh) with a focus on targeting, dynamic strategy enablement, and process innovation.
  • HCP & HCO Targeting Leadership
  • Led multi-semester targeting for launch and in-line brands, guiding 3+ team members in planning, execution, and stakeholder collaboration. Standardized rules and workflows, cutting delivery time from 8 to 4 weeks.
  • Dynamic Targeting – Impact Measurement & Implementation
  • Directed a high-visibility study on opportunity HCP targeting’s effect on share growth, involved building methodology design & identifying performance KPIs. Partnered with multiple teams to implement dynamic targeting streams for launch brands by building scalable rule frameworks that enabled integration into field execution and drove a 4% revenue uplift for Immunology.
  • Patient Journey & Global Leakage Insights
  • Built Power BI OTGS dashboards to track patient journeys, leakage trends, and key drivers. Delivered US launch brand insights and partnered with International BU to provide trends across 10+ geographies, helping teams reduce drop-offs and improve retention.
  • Tools, Automation & Optimisation
  • Leveraged Tableau, Power BI, and SQL across analytics delivery. Automated forecasting reports by redesigning backend SQL and adding parameterized stored procedures, cutting turnaround from 2 weeks to 1 and stabilizing large-scale refreshes.
  • Standardization & Mentorship
  • Onboarded and mentored 3 new members across NBA, targeting, and source-of-business projects, upskilling them in Python, Tableau, and Power BI.
Scaled Agile FrameworkData AnalysisGitHubPython (Programming Language)Peer MentoringChatGPT+8

Associate - BI&A (Business Insights & Analytics)

Jun 2022Mar 2024 · 1 yr 9 mos

  • Delivered analytics solutions for HCP/HCO targeting, market performance tracking, and launch brand enablement across Immunology brands (Taltz, Olumiant, Ebglyss, Omvoh). Partnered with cross-functional teams to turn data into actionable strategies, improve processes, and build team capabilities.
  • Strategic Analytics & Market Insights
  • Leveraged IQVIA LAAD & OneKey datasets to lead market tracking and competitive analysis, including GI Market Landscape and NILEX JIA studies — combining patient journey mapping, competitive share analysis, and prescribing trends to guide investment priorities and market positioning.
  • Evolved HCP Targeting
  • Led targeting for launch and in-line brands. Built a Tableau-based dynamic targeting tool for segmentation, cutting manual workflows, reducing list refresh time, and improving communication — recognized at Quarterly Townhalls for innovation and impact.
  • Innovation & Process Improvement
  • Standardized analytical methodologies and tools across 4+ therapeutic teams, saving 1,000+ hours over 18 months. Contributed to enable Dynamic Targeting by engineering new metrics and HCP universes for ML model development.
  • Launch Excellence & Campaign Optimization
  • Led the Omvoh HCO Profiling Study, integrating IQVIA OneKey data with desk research to segment accounts — awarded 2023 BI&A Distinguished Insight Award. Owned the Next Best Action (NBA) program for launch brands, creating scalable rule frameworks and KPIs to ensure timely execution.
  • Collaboration & Capability Building
  • Developed and maintained Tableau dashboards for savings card, payer performance, specialty referrals, and source-of-business tracking. Upskilled peers on GitHub collaboration and version control
Microsoft ExcelData AnalysisGitHubPython (Programming Language)ChatGPTAnalytical Skills+7

Intern - Commercial Analytics

Dec 2021Jun 2022 · 6 mos

  • As part of US Immunology under HCP Analytics unit - delivered analytics solutions for high-priority brands including Taltz and Olumiant, with a focus on Next Best Action (NBA) initiatives.
  • Designed and developed high-value dashboards in Tableau for Savings Card Utilization Tracking and Payer-Wise Performance Monitoring, enabling faster, data-driven brand performance reviews.
  • Automated report refresh processes, reducing refresh time from 3 days to 1 day and freeing up analyst bandwidth for strategic analysis.
  • Re-engineered backend workflows for the Source of Business project, cutting data refresh time from 1 day to 1–2 hours and reducing database storage use by ~95% (36 intermediate tables reduced to 2).
  • Leveraged tools such as Postgres SQL, Python, Excel 7 Tableau; gained exposure to cloud-based analytics environments.
  • Recognized for driving efficiency improvements and delivering actionable insights in partnership with cross-functional US commercial teams.
Microsoft ExcelData AnalysisPython (Programming Language)Analytical SkillsTableauSQL

Ineuron.ai

Data Science (Machine Learning) Project Intern

Aug 2021Oct 2021 · 2 mos · Bengaluru, Karnataka, India · Remote

  • Developed an end-to-end machine learning solution to predict potential backorders for e-commerce entities—enabling optimized logistics, reduced bad-debt risk, and improved customer satisfaction.
  • Built predictive models in Python, deployed via Flask, with front-end in HTML/CSS.
  • Utilized AWS SageMaker and EC2 for model training and hosting; deployed final solution on Heroku for easy access.
  • Optimized for reusability, compatibility, and reduced latency, with comprehensive project documentation for transparency.
  • Delivered a fully functional UI + backend pipeline, integrating analytics into actionable operational workflows.
Python (Programming Language)Amazon Web Services (AWS)Machine Learning

Kantar

Freelance Market Research - Internship Trainee

Feb 2020Mar 2020 · 1 mo · Chennai Area, India

  • Gained hands-on exposure to market research methodologies, survey operations, and data quality checks.
  • Conducted on-field interviews for client projects in credit cards and insurance.
  • Led an academic research project, “Consumer Behavior in Selecting Subscription-Based Video Streaming Platforms (Chennai)”, applying SPSS techniques including Factor Analysis, Chi-Square, and One-way ANOVA to identify key decision drivers for platforms like Netflix and Amazon Prime.

Timelinks

Data Analyst

Jun 2019Feb 2020 · 8 mos · Chennai Area, India

  • Supported data-driven decision-making for a leading Titan Company Limited retail franchisee (brands: Tanishq, Titan Eye Plus, Helios).
  • Performed data cleaning, preparation, and reporting to track customer purchase patterns, enabling targeted tele-calling lists and personalized offers.
  • Analyzed sales data to identify opportunities for cross-sell, up-sell, and customer retention.
  • Maintained customer and sales data across multiple stores using Microsoft Excel; conducted initial visualization work in Tableau.
Microsoft ExcelAnalytical SkillsMicrosoft OfficeMarket Research

Education

Deakin University

Master's degree — Global Data Science

Feb 2025Jul 2027

The University of Texas at Austin

Post Graduate Program in Artificial Intelligence and Machine Learning — Artificial Intelligence

Feb 2025Mar 2026

Great Lakes Institute of Management

Post Graduate Program in Data Science and Engineering

Jan 2021Jul 2021

Madras Christian College

Bachelor of Business Administration - BBA

Jan 2017Jan 2020

1% Club

Personal Finance Mastery — Personal Financial Planning

Jan 2024Present

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