Sheikh Sadi Asif

Data Scientist

https://talent.gravityer.com/sheikh-sadi-asif

A.I/ML/DL Backend

BangladeshMember since June 23, 2026

Key Strengths

Demonstrated interest in various machine learning applications through personal projects (e.g., spam classification, fraud detection, medical AI).
Experience with Jupyter Notebook for data science workflows.
Basic exposure to Python for machine learning model development.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a strong inclination towards data science and machine learning, which aligns with a Data Scientist role. The diversity of project topics (finance, healthcare, text analysis) indicates a broad interest. However, the lack of team projects or collaborative experience makes it difficult to assess cultural fit beyond individual initiative.

Soft Skills & Operational Fit

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

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

Astrolabsoft-Medical-AI

May 4, 2026 – Present

Astrolabsoft-Medical-AI — repository

View Project

PneumoScan

May 1, 2026 – Present

PneumoScan — repository

View Project

Project-Nerual-nets-from-scratch-

March 22, 2026 – Present

just a neuron

View Project

Fraud-Detection-ML-Model

February 9, 2026 – Present

Fraud-Detection-ML-Model — repository

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Bank-Customer-Loan-Acceptance

February 4, 2026 – Present

Bank-Customer-Loan-Acceptance — repository

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OncoML

February 2, 2026 – Present

OncoML — repository

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Customer-Churn-Prediction-

January 29, 2026 – Present

Customer-Churn-Prediction- — repository

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From-Text-to-Trust-Building-an-SMS-Spam-Classifier

January 29, 2026 – Present

From-Text-to-Trust-Building-an-SMS-Spam-Classifier — repository

View Project

Support-Vector-Machine-

January 27, 2026 – Present

Support-Vector-Machine- — repository

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Regression

August 31, 2025 – August 31, 2025

Regression — repository

View Project

Key Strengths

Demonstrated interest in various machine learning applications through personal projects (e.g., spam classification, fraud detection, medical AI).
Experience with Jupyter Notebook for data science workflows.
Basic exposure to Python for machine learning model development.

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 provided.

Sheikh Sadi Asif

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit