Samarth Barve

Business Analyst

Pune, Maharashtra, India1 yr 6 mos experience

Most Likely To Switch

Key Highlights

Designed advanced neural network solutions for sensor optimization.
Conducted extensive quantitative financial analysis and modeling.
Developed mathematical models for complex engineering problems.

Stackforce AI infers this person is a Data Science and Financial Engineering professional with a strong foundation in Scientific Computing.

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Skills

Core Skills

Scientific ComputingData ScienceFinancial Modeling

Other Skills

ActingArduinoCommunicationComputer VisionData VisualizationElectronic Control SystemsFama-French ModelsMATLABMathematical ModelingMathematicsOpenCVOptimizationProcess Optimization (Manufacturing)Proportional-Integral-Derivative (PID)Public Speaking

About

A student pursuing an interdisciplinary dual degree at IIT Kharagpur, combining BTech in Metallurgical and Materials Engineering with MTech in Financial Engineering. Recently contributed as a Research Intern at the University of Oulu, designing a Spiking Neural Network (SNN) solver for sensor placement optimization, utilizing MATLAB and Python. Previous experience includes quantitative analysis at Purnartha PMS, where they applied Fama-French models and regression techniques for financial modeling. Core skills include data science, process optimization, and scientific computing, with a strong foundation in mathematics and engineering.

Experience

Purnartha pms

Quantitative Analyst

May 2025 – Jul 2025 · 2 mos · Pune, Maharashtra, India · On-site

Computed rolling Beta values for 2700 stocks for 44 sectors using ETF/index proxies and built index-return mappings.
Conducted EDA on 60+ financial features (P/E, MCAP, profits, etc.); visualized outliers, distributions, and feature correlations.
Modeled 3 years returns using OLS regression with p < 0.05 threshold; used time-aware train-test splits to improve performance.
Adapted Fama-French models to universe; backtested PS+PB strategy using 3 technical signals across 20+ stocks (2011–2025).

Quantitative AnalysisFama-French ModelsRegression TechniquesData VisualizationData ScienceFinancial Modeling

University of oulu

Research Intern

Feb 2025 – Sep 2025 · 7 mos · Finland · Remote

Designed a Spiking Neural Network (SNN) based solver for 2D optimal sensor placement in random obstacle environments.
Built an optimization model that adjusted 200+ sensor positions to maximize coverage while reducing spatial overlap by 10-15%.
Simulated convergence behavior over 500+ iterations in MATLAB and Python; benchmarked SNN solver against traditional approaches.
Explored biology inspired SNNs as energy-efficient alternatives for scientific computing and geometric optimization problems

MATLABPythonOptimizationScientific ComputingData Science

Indian institute of technology, kharagpur

Undergraduate Researcher

Nov 2024 – May 2025 · 6 mos · Kharagpur-I, West Bengal, India · On-site

Developed a mathematical model for grain boundary migration using a regular n-gon framework, applying Poisson process dynamics and inverse transform sampling for depinning rates.
Simulated and analyzed stochastic area evolution with Python, exploring the impact of random seed variability and temperature-dependent depinning behaviour.

Mathematical ModelingSimulationPythonScientific Computing

The scholars' avenue

Reporter

Sep 2024 – Present · 1 yr 6 mos · Kharagpur, West Bengal, India · On-site

Technology dramatics society - pravah

Actor

Aug 2023 – Present · 2 yrs 7 mos · Kharagpur, West Bengal, India · On-site

ActingPublic SpeakingCommunicationTeamwork

Everaise academy

Math Curriculum Developer

Mar 2022 – Jun 2023 · 1 yr 3 mos · United States

Curriculum developer and Mathematics instructor at Everaise Academy for the Mathematics Olympiad course in Everiase summer camp

Indian statistical institute, kolkata

ISI LIMIT Camp Attendee

May 2021 – Jun 2021 · 1 mo

Selected as one of 50 students nationwide to attend the Indian Statistical Institute LIMIT camp. The camp focused on advanced topics in mathematics and statistics, offering intensive coursework and hands-on projects. It provided an excellent opportunity to work with leading experts and like-minded peers, enhancing my analytical and problem-solving skills.