Rahul

Data Scientist

https://www.opentalent.in/rahul-32

Gurgaon, Haryana, IndiaMember since June 16, 2026

Key Strengths

Demonstrated interest in Data Science through multiple personal projects.
Experience with Python for various data science tasks including time series, deep learning, and CTR prediction.
Familiarity with R for statistical analysis, SVM, and decision trees.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects indicate a strong interest in quantitative analysis and machine learning, which aligns with a Data Scientist role. However, all projects are personal, and there is no information on collaborative work or professional experience, making a comprehensive cultural fit assessment difficult. The diversity of projects (time series, deep learning, statistical analysis) shows a broad interest within data science.

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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Projects

Multi-Digit-Prediciton

February 2, 2017 – February 2, 2017

Building deep learning Neural Net with TensorFlow and Python to identify multiple digits from more than 50K images

View Project

Pairs-Trading

January 10, 2017 – January 10, 2017

The goal of this project is to assess the attractiveness of a pairs trading strategy using co-integration techniques.

View Project

CTR-Prediction

October 14, 2016 – October 17, 2016

The purpose of this project is to build and test prediction models and find a strategy that beats standard classification algorithms

View Project

CreditAnalysis

October 14, 2016 – February 2, 2017

credit card analysis for the loan prediction

View Project

Regular_Expression_Python

July 31, 2016 – October 14, 2016

Regular_Expression_Python — GitHub repository

View Project

Intro-to-ggplot

July 29, 2016 – August 5, 2016

Introduction to ggplot using "diamond" & "baseball" dataset.

View Project

SVM-R

July 28, 2016 – April 5, 2017

SVM analysis in R

View Project

Time-Series-on-python

July 26, 2016 – September 28, 2016

Time series prediction on stock from NSE using exponential smoothing and Arima models

View Project

Decision_Trees

July 23, 2016 – July 23, 2016

Decision_Trees — GitHub repository

View Project

Key Strengths

Demonstrated interest in Data Science through multiple personal projects.
Experience with Python for various data science tasks including time series, deep learning, and CTR prediction.
Familiarity with R for statistical analysis, SVM, and decision trees.

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.

Rahul

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit