Rishabh Maniyar

Data Scientist

https://talent.gravityer.com/rishabh-maniyar

Be good at one thing!

IndiaMember since June 13, 2026

Key Strengths

Demonstrated interest in quantitative finance and algorithmic trading through multiple personal projects (e.g., trading-system-architecture, crypto-trader, etf-trader, options-algorithm-core).
Proficiency in Python, a core language for data science and quantitative analysis.
Experience with Jupyter Notebook, a common tool for data exploration and model development.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show a strong inclination towards independent work and self-directed learning, particularly in the domain of financial algorithms. The diversity of projects, while focused, indicates a proactive approach to skill development. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

trading-system-architecture

April 9, 2026 – Present

trading-system-architecture — GitHub repository

View Project

Hiking-App

January 8, 2026 – Present

Hiking-App — GitHub repository

View Project

algo-service

July 12, 2025 – July 17, 2025

algo-service — GitHub repository

View Project

backtestingCryptos

March 28, 2025 – March 28, 2025

backtestingCryptos — GitHub repository

View Project

crypto-trader

August 20, 2024 – February 21, 2025

crypto-trader — GitHub repository

View Project

etf-trader

July 24, 2024 – December 11, 2024

etf-trader — GitHub repository

View Project

muj-app

March 27, 2024 – March 27, 2024

muj-app — GitHub repository

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options-algorithm-core

December 15, 2023 – December 15, 2023

options-algorithm-core — GitHub repository

View Project

portfolio

November 5, 2023 – November 5, 2023

portfolio — GitHub repository

View Project

Website

December 17, 2022 – Present

Website — GitHub repository

View Project

Key Strengths

Demonstrated interest in quantitative finance and algorithmic trading through multiple personal projects (e.g., trading-system-architecture, crypto-trader, etf-trader, options-algorithm-core).
Proficiency in Python, a core language for data science and quantitative analysis.
Experience with Jupyter Notebook, a common tool for data exploration and model development.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

Rishabh Maniyar

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit