MD RASHEDIN

Data Science

https://www.opentalent.in/md-rashedin

Creative at Bukk-Bunk-Back Bencher. Machine Learning | Data Science | Deep Learning | Computer Vision Engineer

Hyderabad, Telangana, India

Key Strengths

Demonstrated interest in Data Science through multiple personal projects.
Experience with Python for data manipulation and machine learning tasks.
Familiarity with Jupyter Notebook for data exploration and model development.
Exposure to various machine learning concepts including classification (Hand-Written Digit Classification, Object Recognition), regression (House Pricing Prediction), and NLP (NL2SQL-with-Deep-Agent, RAG-LLAMA_INDEX-POSTGRES).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate shows a strong initiative in self-learning and project-based development, which aligns with a proactive and growth-oriented culture. The diversity of personal projects indicates a willingness to explore different areas within data science. However, without professional experience or team-based projects, assessing collaboration and broader cultural fit is limited.

Soft Skills & Operational Fit

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

AI is analyzing your overall score…

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

NL2SQL-with-Deep-Agent

May 22, 2026 – Present

NL2SQL-with-Deep-Agent — GitHub repository

View Project

Image-augmentation-with-annotation-augmentation

July 23, 2024 – July 23, 2024

Image-augmentation-with-annotation-augmentation — GitHub repository

View Project

RAG-LLAMA_INDEX-POSTGRES

June 17, 2024 – June 17, 2024

RAG-LLAMA_INDEX-POSTGRES — GitHub repository

View Project

Analysing-Happiness-Index-using-Machine-Learning

March 3, 2024 – March 3, 2024

Analysing-Happiness-Index-using-Machine-Learning — GitHub repository

View Project

Hand-Written-Digit-Classification-using-ANN

March 3, 2024 – March 3, 2024

Hand-Written-Digit-Classification-using-ANN — GitHub repository

View Project

Object-Recognition-using-Resnet50-CIFAR-10--Kaggle-Competition-

March 3, 2024 – March 3, 2024

Object-Recognition-using-Resnet50-CIFAR-10--Kaggle-Competition- — GitHub repository

View Project

database_automation_with_mongodb_python

January 14, 2024 – March 1, 2024

database automation for crud operation using python

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Red-Wine-Quality-Project

November 1, 2023 – November 11, 2023

Red-Wine-Quality-Project — GitHub repository

View Project

House-Pricing-Prediction

December 26, 2022 – December 26, 2022

House-Pricing-Prediction — GitHub repository

View Project

60dayscoding-challenge

December 2, 2022 – January 20, 2023

60dayscoding-challenge — GitHub repository

View Project

Key Strengths

Demonstrated interest in Data Science through multiple personal projects.
Experience with Python for data manipulation and machine learning tasks.
Familiarity with Jupyter Notebook for data exploration and model development.
Exposure to various machine learning concepts including classification (Hand-Written Digit Classification, Object Recognition), regression (House Pricing Prediction), and NLP (NL2SQL-with-Deep-Agent, RAG-LLAMA_INDEX-POSTGRES).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

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

MD RASHEDIN

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit