Summary
Overview
Work History
Education
Skills
Timeline
Awards
Got selected to ride for 300KMS Cycling event Continent to Continent for Cancer in Japan
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Soumya Srivastava

Summary

Results-driven data analytics professional with over 5 years of experience in developing causal inference models, automating analytics workflows, and delivering actionable business insights using advanced tools such as Python, SQL, and Dash. Demonstrated expertise in Marketing Mix Modeling, Huber Regression, and hypothesis-driven analytics, with a strong ability to create stakeholder-ready dashboards that facilitate informed decision-making. Skilled in translating complex business questions into scalable statistical models and tools that enhance global operations. Proven collaborator with a successful track record of supporting leadership decisions across sales, marketing, and field operations.

Overview

4
4
years of professional experience

Work History

Decision Analyst 2

Bristol Myers Squibb
08.2024 - Current
  • Sales Uplift & Causal Impact: Designed a matched Difference-in-Difference (DID) model to isolate the impact of call suggestions, driving 8–12% incremental sales uplift in high-adherence territories and validating the Customer Engagement Engine.
  • Collaborated with cross-functional teams to identify opportunities for process improvement and increased efficiency.
  • Improved internal knowledge sharing by developing comprehensive documentation outlining standard operating procedures for various tasks.
  • Execution & Segmentation Insights: Assessed call plan adherence as a proxy for engagement quality, revealing a 4% uplift in high-execution accounts and establishing a clear link between disciplined field force execution and sales growth.
  • Promotion & OPEX Efficiency: Evaluated promotional/operational spend across ~150 ex-US sub-territories, identifying inefficiencies and recommending resource reallocations for higher ROI and execution effectiveness.
  • Executive-Level Strategy Influence: Delivered global Customer Engagement Engine survey insights to the SVP of Data Science, shaping roadmap decisions and adoption strategies at the leadership level.
  • Advanced Modelling & Automation:
    Built an end-to-end Python MMM notebook for automated dataset runs and planning integration.
    Enhanced robustness by replacing Linear Regression with Huber Regression, improving outlier handling.
    Partnered with the MMM team to design SQL pipelines ensuring accurate modelling inputs.
  • Dash Applications for Scale & Flexibility:
    Created a resource management Dash app for ~100 AI&A employees, enabling bandwidth tracking, skill mapping, and multi-project planning.
    Built a dynamic ingestion file generator in Dash, providing configurable sales/touchpoint ingestion aligned with business rules.

Apprentice Leader

Mu Sigma
01.2024 - 08.2024
  • Promotional Effectiveness Modelling: Conducted linear regression modelling across 5+ blockbuster drugs in ex-US markets to assess promotional effectiveness, revealing sales impact ranging from 5% to 18% uplift depending on tactic and geography
  • Marketing ROI Optimization: Analyzed and compared ROI/mROI of promotional investments across multiple markets, identifying inefficiencies and recommending budget reallocations. Enabled a 10-25% increase in marketing efficiency, helping teams invest smarter and drive higher returns
  • Cross-Market Leadership & Strategy Enablement: Led a team of 8 data analysts to deliver country-specific, data-backed promotional recommendations to market strategy teams across 6 international markets. The insights influenced local planning cycles and helped maximize sales potential at scale
  • Promo Impact Simulation & Scenario Planning: Built a scenario-specific simulator to evaluate the impact of different promotional levers on unit sales at a granular level (Store-Segment-Product). Used regression modelling, hypothesis testing, and causality analysis to identify high-impact features. Delivered an interactive Excel tool allowing stakeholders to simulate promo strategies and observe projected outcomes in real-tim

Descision Scientist

Mu Sigma
09.2021 - 12.2023
  • Data Extraction: Worked with the data science team of a leading pharmaceutical company in extracting key attributes from clinical studies protocols. NLP techniques were used to build the model to extract the attributes.
  • Automated the workflow to build a 3-dimensional mapping of HCPs in a given market by integrating multiple datasets. The mapping captured comprehensive information on each HCP, including hospital affiliations

Education

Bachelor of Technology (B. Tech) - Computer Science Engineering

GLA University
06.2020

Skills

  • Python
  • SQL
  • Plotly Dash
  • Linear Regression
  • Statistical Modelling
  • Hypothesis Testing
  • Correlation Analysis
  • Causality Analysis
  • Excel
  • PowerPoint
  • Natural Language Processing (NLP)
  • Storyboarding
  • Data Visualization
  • Data Analysis

Timeline

Decision Analyst 2

Bristol Myers Squibb
08.2024 - Current

Apprentice Leader

Mu Sigma
01.2024 - 08.2024

Descision Scientist

Mu Sigma
09.2021 - 12.2023

Bachelor of Technology (B. Tech) - Computer Science Engineering

GLA University

Awards

  • SPOT AWARD, 08/22, Learning over knowing - Handling critical deliverables independently
  • SPOT AWARD, 08/24, Leading the team and gaining client's trust

Got selected to ride for 300KMS Cycling event Continent to Continent for Cancer in Japan

Outside of work, I was honored to be selected for a prestigious 300KM cycling event in Japan, part of the ‘Continent-to-Continent for Cancer’ initiative. The ride spanned 100KM per day across challenging routes, bringing together athletes from across the globe to raise awareness and funds for cancer research. Preparing for this event required months of structured training, consistency, and perseverance, and reinforced my belief in balancing professional goals with personal impact-driven initiatives. Qualified through a competitive selection process and rigorous training program, completing 100KM/day over 3 days. Demonstrated resilience, discipline, and long-term commitment while contributing to a global cause that unites sports with social impact

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Soumya Srivastava