Kalilur Rahman

Data Scientist

https://www.opentalent.in/kalilur-rahman-1

A Techie and a Quizzer

Chennai, Tamil Nadu, India

Key Strengths

Demonstrated interest in data analysis and financial data through multiple personal projects (DELLStockData, MasterCardStockData, MSFTStockdata, Coca-ColaStockdata).
Experience with Kaggle notebooks suggests familiarity with various data science techniques and workflows.
Exposure to web technologies (HTML, CSS, JavaScript, TypeScript, Python) indicates a broad technical foundation.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show a strong inclination towards self-learning and exploring diverse data domains, particularly financial and movie data. The '1000_KaggleNoteBooks' project indicates a proactive approach to learning and applying machine learning concepts. This self-driven nature could be a good cultural fit for a role requiring continuous learning and initiative. However, the projects are primarily personal and lack details on collaboration or team-based work.

Soft Skills & Operational Fit

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

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

kr-token-ops-hub

May 26, 2026 – Present

kr-token-ops-hub — GitHub repository

View Project

citaacc-ai-hub

April 10, 2026 – Present

CIT Alumni Association Chennai Chapter - AI - Articles Hub

View Project

kr-pharma-guidebook-hub

March 25, 2026 – Present

kr-pharma-guidebook-hub — GitHub repository

View Project

kalilurrahman

February 17, 2026 – Present

GitHub profile README — Kalilur Rahman's portfolio showcasing enterprise architecture, AI, QE, and GCC expertise

View Project

DELLStockData

October 18, 2023 – Present

Dell Technologies (DELL) historical stock price data — daily OHLCV for analysis and backtesting

View Project

1000_KaggleNoteBooks

March 9, 2022 – Present

Archive of 1000+ Kaggle notebooks — covering EDA, feature engineering, ML models, and competition solutions across diverse domains

View Project

BoxOfficeData

February 23, 2022 – Present

Box office revenue data — historical movie earnings, opening weekends, and theatrical performance metrics

View Project

Coca-ColaStockdata

January 27, 2022 – Present

Coca-Cola (KO) historical stock price data — daily OHLCV for analysis and backtesting

View Project

MasterCardStockData

October 12, 2021 – Present

Mastercard (MA) historical stock price data — daily OHLCV for analysis and backtesting

View Project

MSFTStockdata

September 23, 2021 – Present

Microsoft (MSFT) historical stock price data — daily OHLCV for analysis and backtesting

View Project

Key Strengths

Demonstrated interest in data analysis and financial data through multiple personal projects (DELLStockData, MasterCardStockData, MSFTStockdata, Coca-ColaStockdata).
Experience with Kaggle notebooks suggests familiarity with various data science techniques and workflows.
Exposure to web technologies (HTML, CSS, JavaScript, TypeScript, Python) indicates a broad technical foundation.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

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

Kalilur Rahman

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit