Careers
Business Analyst Intern
Althrive, LLC
- Performed data analysis on consumer data, reporting insights and identifying key app features; collaborated with app development team to Ihape product roadmap and build prototype within 3 months.
- Designed database and performed data cleaning for Ai-recommendation model, improving precision of meal-plans generated.
- Drove Go-to-Market Strategy and engaged with target audience, winning 1600+ user in waitlist for beta testing.
- Led competitor analysis across 15 industry players by devising a multi-attribute model encompassing 26 attributes; identified key strengths and weaknesses, synthesizing findings for product positioning.
- Strategically planned and managed product alpha testing extracting insights and delivering actionable recommendations for app refinement.
Strategy Consultant
Simon Vision Consulting
- Conducted due-diligence on 135 programs under the Inflation Reduction Act; identified and scrutinized 3 initiatives for a window-retrofit solutions company, optimizing strategic positioning and enhancing benefits.
- Steered Go-to-Market strategy and strategic real-estate testbed initiative for potential product deployment in 33% of buildings; received stakeholderbuy-in, securing up to $400,000 in potential rebates for building owners and delivered 15% whole-building energy savings.
Research Intern
Department of Statistics, Sri Venkateswara College
- Collected, cleaned, and leveraged extensive data from Central and 28 State government sources to identify and analyze factors impacting the spread of COVID delving into cause-and-effect relationships and provided actionable insights to mitigate a potential third wave.
- Developed a comprehensive index to measure government response by segmenting covid restrictions into 12 weighted categories to perform regression analysis and develop 3 regression models with 4-6 independent factors under study.
Education
Simon Business School, University of Rochester
Business Analytics
University of Delhi
Statistics
My projects
Data Driven Pricing Decision
No image available
Applied causal models to historical sales data estimating demand models in R, enabling data-driven pricing decisions for an orange juice brand; identified the influence of omitted variable bias and corrected the erroneous optimal price of $2.36 to $2.65
Role: Pricing Analyst
Completed: 12/2023
Live project: https://github.com/yashasvithanai/Data-Driven-Pricing-Decision.git
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