AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Key Strengths

Demonstrated interest in Data Science through multiple personal projects like 'Algorithmic-Trading', 'HireMeHorizon', and 'anomaly-detection-cred-card'.
Experience with various machine learning models (Logistic Regression, XGBoost, Decision Tree) for anomaly detection.
Proficiency in Python and Jupyter Notebook, essential tools for Data Scientists.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards data science and machine learning, aligning with a Data Scientist role. The diversity of projects, from financial modeling to educational tools and security, suggests a broad interest in applying data science to different domains. However, all projects are personal, and there is no information on collaborative work or team dynamics.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate an ability to work on self-directed projects.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Raahul R

Data Scientist

https://www.opentalent.in/raahul-r

SNUC BTech CSE Cyber Security student '26

Shiv Nadar University Chennai

ChennaiMember since June 12, 2026

https://www.opentalent.in/raahul-r

Top Skills

Jupyter NotebookJavaScriptCSSHTMLPythonMatlabShell

Skills

Jupyter NotebookJavaScriptCSSHTMLPythonMatlabShell

Experience

Shiv Nadar University Chennai

Data Scientist

June 12, 2026 – Present

Projects

hippo

February 24, 2025 – February 24, 2025

hippo — GitHub repository

View Project

AI-CIA

October 20, 2024 – October 20, 2024

This is CIA submission for the course - CS2007 Artificial Intelligence for my University internal assessment.

View Project

ClassiFLY

September 11, 2024 – September 15, 2024

anomaly-detection-cred-card

April 7, 2024 – April 23, 2024

This Project determines anomalies in Financial Transactions using three different models namely: Logistic Regression, XG Boost, Decision Tree

View Project

Algorithmic-Trading

January 17, 2024 – August 18, 2024

Algorithmic Trading Model Development for BTC/USDT Crypto Market

View Project

PenGUIn

December 27, 2023 – October 26, 2024

Creating a flexible GUI-based hardening script for Ubuntu to align with organizational security policies

View Project

Virtual-Painter-Air-Canvas

October 31, 2023 – November 1, 2023

a virtual painter application using Python, which enables a person to draw on a canvas with just their fingers.

View Project

Phishing-Awareness-Game

October 31, 2023 – April 23, 2024

This project is designed to educate about various forms and techniques of phishing attacks, empower users to recognize and respond effectively to phishing attempts and to equip individuals with the knowledge to avoid falling victim to such attacks.

View Project

HireMeHorizon

October 14, 2023 – December 3, 2025

Analyzing campus placement trends and predicting future salaries using machine learning to enhance student employability and inform institutions.

View Project

Key Strengths

Demonstrated interest in Data Science through multiple personal projects like 'Algorithmic-Trading', 'HireMeHorizon', and 'anomaly-detection-cred-card'.
Experience with various machine learning models (Logistic Regression, XGBoost, Decision Tree) for anomaly detection.
Proficiency in Python and Jupyter Notebook, essential tools for Data Scientists.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate an ability to work on self-directed projects.