Komal Patri
Strategy & Operations Associate @ Uber
About
Currently, I am working as a Strategy & Operations Associate at Uber for City Operations, Northeast. This role is highly cross-functional looking to optimize operations using our data pipeline with consideration of regulatory and compliance guardrails. As a Market Access & Strategy Associate at IQVIA, I specialized in consulting within the healthcare sector, focusing on developing predictive and analytical models that support business strategies in market access. I am deeply interested in the intersection of data analytics + X, previously having experience in healthcare, research, and power generation.
United States
New York
Management Consulting
Python (Programming Language), SQL, Project Management, Python, R, JavaScript, Microsoft Suite, Google Suite, PowerBI, Communication, Leadership, Collaborative Leadership
Experience

Associate
Boston, Massachusetts, United States
Client Deliverables: • Provided strategic direction to launch new oral therapy within obesity market, an estimated market of 24M Americans, considering a D2C model and a variety of private-label partnerships • Created data-driven model in Python (80%+ accuracy) to identify characteristics of high-value physicians and provide actionable insights around how to improve communication to providers • Completed a longitudinal analysis in SQL using pharmacy point-of-sale data to determine risk posed by particular insurance plans, a potential $1B+ cost to client • Wrangled 75M+ claims within diagnostic testing portfolio to deliver Tableau dashboard to inform future client contracting Internal Initiatives: • Created and led a team of 16 members to enhance existing project capabilities and reduce internal inefficiencies by introducing Python into existing workflow

Transformation Operations Intern
United States
• Identified over $20M in cost-savings via organizational baseline analyses for multi-billion-dollar telecommunications company • Designed PowerBI dashboard with data from 80+ major companies regarding their software innovation and crafted tailored solutions addressing pain points, resulting in more streamlined operations

Teaching Assistant
Los Angeles, California, United States
Teaching Assistants (also referred to as Learning Assistants) for ITP 487 maintain one section of the course. Responsible for updating the Blackboard page, grading and providing feedback on assignments Designed independent project that was used for assessment of students

Research Assistant at Read Laboratory
Greater Los Angeles Area
The Read Laboratory is focused on creating computational models of social behavior and decision-making. Research focuses include neural network models of personality and motivation, legal and everyday decision making, person perception. Foraging Model: developed Python-based neural network which reached 73% accuracy and optimized caloric intake based on foraging parameters Beanfest Project: Using Go/Emergent to train a model to predict a patient’s likelihood of making a risky decision, using data from the cognitive task 'Beanfest' Adolescent Brain Cognitive Study: Using longitudinal cohort data to create a model of impulsivity using latent variables

Advanced Analytics Intern
Chattanooga, Tennessee, United States
The Tennessee Valley Authority provides affordable electricity, environmental stewardship, and economic development opportunities to the Tennessee Valley. TVA is fully self-financing, funding virtually all operations through electricity sales and power system bond financing. Pricing Study: optimizing the price of generation to local power companies to benefit TVA, LPCs, and end users Documentation Guidelines: standardized documentation guidelines in collaboration with the Center of Excellence and integrated version control processes with Git IBNR: improved forecasting tool by 5% and allowed for a more accurate prediction of employee healthcare costs

Data Product Analytics Intern
Grin Gaming
Los Angeles Metropolitan Area
Grin Gaming is a machine learning and AI-driven technology platform that lets users predict outcomes of sports games and esports streams. Users compete against other viewers of a particular event to determine who is able to most accurately predict outcomes (e.g.., completions, goals) about the game. Recency/Frequency/Monetary Analysis: Performed tailored RFM analysis on the current customer base to better understand the composition of most valuable customers and potential targets for future marketing

Student Research Assistant at the Health, Emotion, and Addiction Laboratory
Los Angeles County, California, United States
Investigated cross-population differences in the psychopharmacological effects of drugs by age, gender, ethnicity, age, socioeconomic status, and mental health in order to explain disparities in the prevalence and persistence of addiction. Flavored E-cigarette Sales Restrictions (FESR): Studied severity and specificity of flavored tobacco bans in Los Angeles via policy coding of city ordinances Delay Discounting: Analyzed data related to the delay discounting measure which explores payoff between immediate reward versus a larger delayed reward
Education
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