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MOHAMMAD SALMAN FURQAN

@mohammadsalmanfurqan

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Data science enthusiast building predictive models with Python, SQL, and machine learning.

India

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What I'm looking for

I’m looking for a data science or machine learning role where I can build predictive models from large datasets, improve accuracy through EDA and feature engineering, and use strong evaluation to deliver data-driven solutions.

I’m a data science enthusiast with strong proficiency in Python, SQL, and machine learning, focused on building predictive models and analyzing large datasets. I’ve worked on end-to-end modeling workflows—exploratory data analysis (EDA), feature engineering, and model evaluation—using Pandas, NumPy, and Scikit-learn, and I’ve achieved up to 82% accuracy in predictive modeling for real-world problems.

In my Machine learning Intern work, I analyzed TMDB datasets (5000 movies) and applied text-based similarity and statistical techniques to generate recommendation insights and performance metrics. My academic projects reflect the same mindset: using data cleaning, hypothesis testing, and model evaluation to deliver actionable results in credit risk analysis (82% accuracy, AUC 0.85) and customer churn prediction (XGBoost AU-ROC 0.88).

Experience

Work history, roles, and key accomplishments

Machine Learning Intern

Movie Recommendation System

Feb 2026 - Apr 2026 (2 months)

Analyzed large-scale TMDB movie datasets (5,000 movies) using exploratory data analysis and statistical techniques to identify patterns and performance gaps. Implemented text-based similarity approaches to generate recommendations and produce performance metrics to support process optimization.