Key Strengths

Demonstrated proficiency in Python, Jupyter Notebook, and related data science tools through multiple personal projects.
Experience with generative models (Flow-Models) and gravitational wave data analysis (Surrogate_GW, GW_Autoencoder, Gravitational_Wave_Computing) indicates specialized domain knowledge relevant to advanced data science.
Exposure to various programming languages (Python, Lua, C++, JavaScript, HTML, CSS) suggests adaptability and a broad technical foundation.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and academic in nature, focusing on scientific computing and web development. While demonstrating technical curiosity, the lack of team-based or industry-specific projects makes it difficult to assess cultural fit for a collaborative, product-oriented environment. The single listed professional experience as 'Data Scientist' at IISER Kolkata is current but lacks details on responsibilities or achievements, limiting insight into professional work ethic and alignment with typical industry roles.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric or English test results are available, and project descriptions do not provide insight into collaboration or problem-solving approaches.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Saqlain Afroz

Data Scientist

https://www.opentalent.in/saqlain-afroz

I am an astrophysicist by passion and profession. I work in Black Hole physics, gravitational waves, and machine learning.

IISER Kolkata

IndiaMember since June 14, 2026

https://www.opentalent.in/saqlain-afroz

Top Skills

PythonJupyter NotebookLuaDockerfileC++TeXHTMLCSSJavaScriptShelltypescript

Skills

PythonJupyter NotebookLuaDockerfileC++TeXHTMLCSSJavaScriptShelltypescript

Experience

IISER Kolkata

Data Scientist

June 14, 2026 – Present

Projects

Hyprland_Config

May 30, 2026 – Present

Config files for hyprland written in lua language.

View Project

GW_Autoencoder

April 25, 2026 – Present

GW_Autoencoder — GitHub repository

View Project

Gravitational_Wave_Computing

April 24, 2026 – Present

This repository contains important data analysis tools from PyCBC, Bilby, CwB and SGWB, used to do searches and detections of modeled CBC signals, GW Bursts, and Stochastic Gravitational Wave Background, as well as parameter estimation of CBCs and population inference.

Key Strengths

Demonstrated proficiency in Python, Jupyter Notebook, and related data science tools through multiple personal projects.
Experience with generative models (Flow-Models) and gravitational wave data analysis (Surrogate_GW, GW_Autoencoder, Gravitational_Wave_Computing) indicates specialized domain knowledge relevant to advanced data science.
Exposure to various programming languages (Python, Lua, C++, JavaScript, HTML, CSS) suggests adaptability and a broad technical foundation.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit