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Krishhiv Mehra

@krishhivmehra

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Passionate data scientist who's driven to interpret data and reveal hidden truths. Rigorous software developer as well.

India

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What I'm looking for

I’ve designed systematic alpha signals, built thorough validation pipelines, and worked with teams that value strong engineering, diversification controls, and research discipline. Further, I am deeply passionate about software development, data science, and ML. I’ve gained hands-on experience with full-stack development, data analytics, model validation, and predictive analytics.

I’m a Computer Science student at Ashoka University focused on Quantitative Research & Systematic Trading, working on alpha research for global equity universes. At WorldQuant BRAIN, I’m designing systematic signals, engineering alphas across price–volume reversion, value, quality, and credit-spread factors, and applying correlation gating and fitness constraints to build diversified portfolios.

I’ve also built production-minded systems as a Software Engineer Intern at Loylty Rewardz Mngt. Pvt. Ltd., owning the full SDLC and designing APIs and DB schemas for multi-user transaction logic. Through projects like live microstructure alpha research and regime-adaptive trading (with HMM regime detection and LightGBM), I aim to turn data-driven research into reliable, deployable strategies.

Experience

Work history, roles, and key accomplishments

Current

Research Consultant

Current

WorldQuant BRAIN

Mar 2026 - Present (4 months)

Designs and submits systematic alpha signals across global equity universes. Engineered multi-factor alphas using a Fast-Expr toolkit and applied correlation-gating to diversify an IQC 2026 alpha portfolio.

Systematic Alpha Research Price–Volume Reversion Factors Credit Spread Factors Fast Expr Toolkit Correlation Gating Fitness Metric Sharpe Ratio

Software Engineer Intern

Loylty Rewardz Mngt. Pvt. Ltd.

Dec 2025 - Jan 2026 (1 month)

Built an enterprise Game Exchange Platform end-to-end for a BFSI loyalty client. Owned the SDLC from requirements to deployment-ready delivery, including API and database schema design for multi-user transaction logic, and improved reliability via structured testing and edge-case handling.

API Design Database Schema Design Multi User Transaction Logic Edge Cases Reliability

Education

Degrees, certifications, and relevant coursework

Ashoka University

B.Sc. (Hons.), Computer Science

2023 - 2026

Grade: GPA 3.21

B.Sc. (Hons.) in Computer Science at Ashoka University (Aug 2023–Aug 2026) with GPA 3.21. Coursework includes Financial Analytics, Quantitative Finance, Machine Learning, Probability & Statistics, and Information Security.