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Veda User

@vedauser1

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Product analytics and ML researcher turning data into high-impact decisions across cross-functional teams.

United States

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What I'm looking for

I’m looking to build data-driven products by combining machine learning with product analytics—turning experiments, funnels, and interpretable models into clear decisions and faster iteration with cross-functional teams.

I’m a Machine Learning Research Intern and Product Analyst Intern who turns messy data into measurable outcomes. In my Ride-Hailing Demand Forecasting internship, I led ensemble and stacking work to deliver a 15% accuracy improvement over baseline, boosted interpretability by up to 10% using SHAP, and drove a Random Forest to an RMSLE of 0.43 through predictive feature engineering on 10,886 observations.

I also bring strong product analytics instincts from fintech and marketplace-style work—improving 30-day retention by 10%, cutting drop-offs by 20% using CleverTap and Google Analytics dashboards, and uncovering root causes behind churn via funnel analysis and user interviews. I enjoy translating insights into clear plans through PRDs, experimentation, and collaborative execution, and I currently contribute as a Teaching Assistant and graduate mentor at USC.

Experience

Work history, roles, and key accomplishments

Current

VASE Graduate Orientation Leader

Current

USC

May 2026 - Present (3 months)

Coordinated end-to-end Viterbi graduate commencement logistics to deliver a seamless graduation ceremony for 200+ Viterbi master's students.

Event Logistics Program Operations

Current

Viterbi Graduate Mentor

Current

USC

Jan 2026 - Present (7 months)

Mentored incoming graduate students on academic planning and professional development to support a smooth transition into the USC engineering community.

Mentorship Academic Planning Professional Development Student Support

Machine Learning Research Intern

RAIT CSI Winter Internship

Sep 2024 - Jan 2025 (4 months)

Led a 3-person team to prioritize ensemble and stacking strategies, improving ride-hailing demand forecasting accuracy by 15% over baseline. Improved interpretability by up to 10% using SHAP and achieved the lowest error rate (RMSLE 0.43) among 5+ models using predictive features.

SHAP (Explainable AI)Random Forest Model Interpretability Predictive Feature Engineering

Product Analyst Intern

Stratzy Fintech

Jun 2024 - Jul 2024 (1 month)

Improved 30-day retention by 10% by identifying sign-up drop-offs via funnel analysis and user interviews, then driving a cross-functional redesign that reduced the flow from 10 screens to 5. Reduced drop-offs by 20% across 3 features by instrumenting CleverTap and Google Analytics dashboards and used analysis to surface root causes behind high churn.

Funnel Analysis User Interviews Retention Analysis Dashboarding CleverTap Google Analytics Cross Functional Collaboration Root Cause Analysis

Teaching Assistant

USC Viterbi K-12 STEM Center

Jul 2026 - Present (1 month)

Guided approximately 180 K-12 students through hands-on coding and physics builds, including wind-powered cars and an Arduino Simon Says game.

Hands On Coding Arduino STEM Education Physics Builds

Education

Degrees, certifications, and relevant coursework

University of Southern California

Master of Science in Engineering Management, Engineering Management

2025 - 2027

Master of Science in Engineering Management at the University of Southern California (Aug 2025–Expected May 2027). Relevant coursework includes Engineering Project Management and Engineering Management of Systems Integration.