Open to opportunities

Parth Dhruv

@parthdhruv

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Research and equity analysis intern combining machine learning and financial modeling for real impact.

India

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What I'm looking for

I’m looking for an early-career role where I can combine research, machine learning, and financial modeling—turning data into actionable insights. I want a team that values structured execution and measurable outcomes.

I’m a B.Tech student at IIT Bombay who leans into research that turns quickly into decisions. In an IRCC Research Intern role, I helped prepare write-ups for 600+ patents and technologies and built high-level intelligence synopses across 10+ scientific domains for licensing pitches.

I also bring a strong analytics and machine-learning focus. I trained ML models (LR, SVM, XGBoost, RF, AdaBoost, k-NN, MLP) on healthcare data, and I’ve analyzed 50+ research papers to connect clinical features and modeling approaches for diabetes prediction.

Beyond research, I’ve delivered results in commercialization and finance. I booked 18+ qualified meetings in a month via structured, data-driven ICP outreach, and in equity/quant projects I’ve used DCF valuation, ratio benchmarking (ROE, CCC, PE), and options/strategy modeling with backtested returns and risk metrics—while also leading large student programs and entrepreneurship initiatives.

Experience

Work history, roles, and key accomplishments

Current

Events Head

Current

IIT Initiatives Bombay

Mar 2025 - Present (1 year 3 months)

Spearheaded execution of Alumination, IIT initiatives’ flagship fest, engaging 2K+ students across 2 days. Led the Young Alumni Leaders Meet with 50+ notable alumni to drive influence-led engagement.

Event Planning Alumni Relations Program Execution Budget Management Volunteer Leadership Scheduling Student Engagement

Current

Research Intern

Current

IIT Bombay

Dec 2024 - Present (1 year 6 months)

Analyzed 50+ unique research papers to identify clinical features and modeling approaches for diabetes prediction. Trained and evaluated multiple ML models (LR, SVM, XGBoost, RF, AdaBoost, k-NN, MLP) on healthcare data and tailored research write-ups using dataset-level comparisons.

Machine Learning Diabetes Prediction Healthcare Analytics SVM XGBoost Random Forest Model Evaluation data preprocessing

Current

Sales & Marketing Intern

Current

Living Things

Executed 200+ outbound touches per week, converting ~12% into meetings through precise targeting and follow-ups. Booked 18+ qualified meetings in one month and partnered with marketing to refine outreach messaging, improving lead quality and pipeline readiness.

Outbound Sales Lead Generation ICP Targeting A B Outreach Messaging Conversion Optimization Data Driven Marketing

Research Intern

IRCC

May 2025 - Jul 2025 (2 months)

Worked in a team of 20 to prepare write-ups for 600+ patents and technologies for listing on the IRCC website. Produced high-level intelligence synopses for 60+ technologies across 10+ scientific domains and interviewed 40+ professors/research groups to identify commercial applications.

Technical Writing Scientific Domain Analysis Competitive Research Interviewing Stakeholder Management

Eureka! Coordinator

Eureka! (IIT Bombay)

Sep 2024 - Mar 2025 (6 months)

Approached 100+ VCs and onboarded 35+ top VC firms as venture partners for Eureka! 2025, helping drive funding opportunities. Enabled onboarding of 150+ startup mentors and onboarded 25+ CEOs/co-founders for E-Summit 2025 sessions.

Mentoring Stakeholder Management Communication Coordination