Koustubh

Data Scientist

https://www.opentalent.in/koustubh

Mumbai, Maharashtra, IndiaMember since June 24, 2026

Key Strengths

Demonstrated proficiency in Python for various applications, including AI/ML (Genetic Algorithms, Agent-driven pipelines).
Experience with data analysis and financial modeling tools (Stata, R, Matlab) for projects like F_SCORE and G_SCORE.
Exposure to front-end technologies (HTML, CSS, JavaScript, TypeScript) for prototyping and web applications.
Understanding of simulation techniques (Smoothed Particle Hydrodynamics, Cavitating Bullet Sim).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards personal, research-oriented, and diverse technical explorations. This suggests a self-starter who is curious and capable of independent work. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit in a collaborative corporate environment. The projects align with a data-driven mindset, which is suitable for a Data Scientist role.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's project descriptions indicate an ability to work on diverse technical challenges.

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Projects

real-estate-investment-calculator

June 14, 2026 – Present

20-Year Investment Value Calculator — Real Estate vs same-cash Equity benchmark (XIRR, opportunity-cost framing)

View Project

nishaan

May 28, 2026 – Present

Agent-driven (Claude + Blender via MCP) custom Derby/Oxford dress-shoe design pipeline for the Nishaan footwear brand.

View Project

hughes-ai

April 20, 2026 – Present

Hughes AI natural language BI tool for credit unions

View Project

bank-complaints-poc-wireframe

March 12, 2026 – Present

Clickable HTML/CSS/JS wireframe prototype for a bank complaints research and resolution tool — associate + supervisor views, regulatory SLA tracking, AI copilot (mocked), PII masking

View Project

cavitating_bullet_sim

September 4, 2017 – September 7, 2017

cavitating_bullet_sim — GitHub repository

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BTP-II

August 19, 2017 – August 27, 2017

BTP-II

View Project

F_SCORE

December 18, 2016 – December 18, 2016

Piotroski's F_SCORE implementation

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G_SCORE

December 18, 2016 – December 23, 2016

Implementation of Mohanram's G_SCORE

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GA-for-CartPole-v0

October 26, 2016 – November 3, 2016

Genetic Algorithm implemented for solving the problem of balancing CartPole-v0 problem from OpenAI

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sph

March 4, 2016 – April 29, 2016

Smoothed Particle Hydrodynamics simulation using OpenCL

View Project

Key Strengths

Demonstrated proficiency in Python for various applications, including AI/ML (Genetic Algorithms, Agent-driven pipelines).
Experience with data analysis and financial modeling tools (Stata, R, Matlab) for projects like F_SCORE and G_SCORE.
Exposure to front-end technologies (HTML, CSS, JavaScript, TypeScript) for prototyping and web applications.
Understanding of simulation techniques (Smoothed Particle Hydrodynamics, Cavitating Bullet Sim).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's project descriptions indicate an ability to work on diverse technical challenges.

Koustubh

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit