Jitesh Singhvi

Data Scientist

https://www.opentalent.in/jitesh-singhvi

Programmer by passion, Engineer by chance.

Swiggy

Key Strengths

Demonstrated interest in Data Science through multiple personal projects (Flight Price Prediction, DeepBeet, FIFA 2018 Prediction, Anime Recommender System).
Experience with various machine learning algorithms (Decision Trees, AdaBoost, Bagging Regressors, Logistic Regression, RNN-LSTM).
Familiarity with Jupyter Notebook for data science workflows.
Current role as a Data Scientist at Swiggy indicates direct industry experience, though duration is not specified.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards personal data science projects, which aligns with a proactive and self-driven learning style. However, the diversity of projects outside of core data science is limited, and the experience level is marked as 0 despite a current Data Scientist role, which requires clarification. The target role of Data Scientist aligns well with the project focus.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, providing no insight.

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Projects

CursorStuff

September 18, 2025 – September 18, 2025

CursorStuff — GitHub repository

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SillyCrochetCoDev

August 26, 2025 – August 27, 2025

SillyCrochetCoDev — GitHub repository

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silly_website_new

April 9, 2023 – April 9, 2023

New portfolio repo

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dsa-java-implementations

January 8, 2023 – January 8, 2023

Java code for some commonly known algorithms

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Flight_Price_Prediction

March 14, 2019 – March 14, 2019

My solution to the flight price prediction hackathon using Decision Trees and other variants of it (AdaBoosted, Bagging Regressors etc).

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Anime-Recommender-System

February 27, 2019 – February 27, 2019

A simple approach to building a recommender system for anime.

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DeepBeet

July 31, 2018 – July 31, 2018

A music generator designed using RNN-LSTM based on the training data of Beethoven's symphonies.

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FIFA_2018_Prediction-using-ML

June 14, 2018 – June 14, 2018

Using Logistic Regression on existing data to predict the outcome of this year's football world cup.

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HackerRank_Java

October 31, 2017 – January 12, 2018

All my solutions for the Java track from HackerRank are posted here.

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Hackerrank_Algorithms

October 16, 2017 – November 21, 2017

Find the solutions for the ALGORITHMS track of HackerRank here.

View Project

Key Strengths

Demonstrated interest in Data Science through multiple personal projects (Flight Price Prediction, DeepBeet, FIFA 2018 Prediction, Anime Recommender System).
Experience with various machine learning algorithms (Decision Trees, AdaBoost, Bagging Regressors, Logistic Regression, RNN-LSTM).
Familiarity with Jupyter Notebook for data science workflows.
Current role as a Data Scientist at Swiggy indicates direct industry experience, though duration is not specified.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, providing no insight.

Jitesh Singhvi

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit