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Machine Learning Business Analytics

Location:
San Francisco, CA, 94102
Posted:
April 08, 2025

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Resume:

VIVAN DOSHI

United States +1-323-***-**** *****.*****.****@********.***.*** https://www.linkedin.com/in/vivan-doshi EDUCATION

University of Southern California, Marshall School of Business – Los Angeles, CA August 2024 – December 2025 Master of Science in Business Analytics (STEM) Dean’s List GPA: 4.0/4.0

● Related Courses: Machine Learning, Data visualization, Marketing Analytics, Advanced Statistics, Optimization using Gurobi

● Member of Business Analytics Student Association, leading the marketing and consulting initiative Vellore Institute of Technology (VIT Vellore) – Vellore, India July 2017 – June 2021 Bachelor of Technology in Mechanical with Specialization in Automotive Engineering Dean’s List GPA: 3.82/4.0

● Leadership: Vice President, Organizing Committee for Centre of Social Entrepreneurship and Development WORK EXPERIENCE

ZS Associates - Decision Analytics Associate Consultant July 2023 – May 2024

● Designed regression-based sales force realignment models for Novo Nordisk’s Ozempic and Wegovy business unit, cutting down workforce costs by 10%-45% while maintaining low customer disruption (5%-10%) and enhancing business insights

● Collaborated with cross-functional teams across 7 countries to develop marketing mix models for Pfizer, analyzing historical spend, customer engagement, and sales data to improve return on marketing investment (ROMI) by 20%

● Devised an omnichannel sales strategy for Antech-Heska merger employing predictive analytics that boosted productivity by 20% for a 2,000-member U.S. sales team, supporting refined customer identification and market trend evaluation

● Built key performance indicators (KPI) frameworks and interactive dashboards for Vertex using SQL, Excel and Tableau to enable real-time performance tracking and compliance monitoring, thereby strengthening business intelligence

● Analyzed sales patterns and constructed logistic regression response curves in Excel to refine market segmentation and optimize budget allocation for the Japanese division of Pfizer

● Mentored 10 associates across global offices (India, US, EU5 and APAC), enhancing proficiency in Excel, presentation, and data storytelling skills, which accelerated onboarding and resulted in 8 early promotions ZS Associates - Decision Analytics Associate August 2021 – June 2023

● Automated customer segmentation processes using Python and SQL to streamline it on Dataiku, replacing legacy SAS systems to reduce analytics cost by 15% for Merck’s oncology and vaccine portfolios

● Engineered SQL based feature pipelines for XGBoost, and Random Forest customer behavior models written on Python, boosting patient lead generation for Merck’s Keytruda by 40% quarter on quarter (QoQ)

● Identified the total addressable market (TAM) for Rosewood hospitality and formulated a B2B go-to-market strategy using R for data analysis, resulting in a 3% QoQ growth and insightful market trend evaluation

● Created a post-COVID segmentation and targeting strategy for Alexion’s NMOSD indication that achieved a 30% reduction in promotional spending by reallocating resources in response to shifting market conditions ZS Associates - Decision Analytics Associate Intern February 2021 – July 2021

● Delivered insights into regional workforce optimization of AstraZeneca’s oncology business unit using advanced clustering techniques, redeploying 1,200 personnel across U.S. territories and increasing productivity by 25% Godrej & Boyce Material Handling Equipment - CNC Quality Manufacturing Intern May 2019 – July 2019

● Enhanced operational efficiency by cutting processing time on CNC machines by 20 minutes through in-depth ‘downtime hand time’ analysis and Six Sigma green belt practices, reducing the error rate from 6% to 2% SKILLS

● Technical Skills: Python (Pandas, Statsmodel, TensorFlow, PyTorch, Seaborn, Matplotlib, Jupyter notebook), SQL, R, SAS, Tableau, Dataiku, Excel (Xlookup, Sumifs, Countifs, Pivot table, VBA, Advanced), Access, Power BI, Snowflake, Power Point, Word, AWS, Colab, Basic Shell command, A/B Testing

● Soft Skills: Data Visualization, Spreadsheet Modeling, Actionable Business Recommendations, Strategic Decision-Making, Data Storytelling, Problem-Solving, Go-to-Market Strategies, Healthcare analytics, Collaboration, Stakeholder Engagement, Communication, Presentation Skills, Attention to Detail, Curious, Game theory and simulation modeling PROJECTS

GLP-1 Medication Subscription Pricing Model:

● Applied ensemble regression models integrating competitive pricing, customer segmentation, and clinical efficacy data

● Developed optimized pricing strategies enhancing subscription attractiveness F1 Driver Performance Mapping:

● Designed interactive visualizations in Tableau and Python utilizing the Fast F1 API

● Provided strategic insights into sector-wise performance variations during the Monza Grand Prix 2024 to make informed tactical decisions



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