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Institute of Chemical Technology
Data Scientist
June 16, 2026 – Present
Simulations_Simple_Linear_Regression
January 3, 2026 – Present
Simulations_Simple_Linear_Regression — GitHub repository
View ProjectBayesian-Computing-with-Julia-A-Practical-Introduction
December 10, 2025 – Present
Bayesian-Computing-with-Julia-A-Practical-Introduction — GitHub repository
View ProjectApproximate-Bayesian-Computation
June 16, 2025 – Present
A Julia-based repository for exploring Approximate Bayesian Computation (ABC) through simulation and parameter inference across diverse mathematical and real-world models.
View ProjectA-Gentle-Introduction-to-Statistical-Computing-Using-Julia
April 3, 2025 – Present
This repository provides a beginner-friendly introduction to statistical computing using the Julia programming language. It covers key statistical concepts, simulations, and implementations, an essential foundation for AI/ML. Ideal for students, researchers, and practitioners in data science and machine learning.
View ProjectCultural Fit Analysis
The candidate's projects show a strong academic and research-oriented interest in statistical computing, which aligns with a data scientist role requiring deep analytical skills. However, the projects are primarily personal and theoretical, lacking diversity in real-world application or team collaboration aspects. The single listed work experience as 'Data Scientist' at 'Institute of Chemical Technology' with a future start date (2026) and current status is unusual and lacks detail, making it difficult to assess practical experience or cultural fit within a typical industry setting.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.