Open to Internships

Hi, I'm Mohammed Rafi

Data Science · Machine Learning · MLOps

Second-year B.E. student in AI & ML at Don Bosco Institute of Technology. Building production-grade ML pipelines with 5 months of industry experience. Focused on bridging the gap between trained models and deployed systems.

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5+
Months Experience
92%
Model Accuracy
35%
Recall Improvement
About Me

Passionate About Turning Data Into Impact

I'm a second-year B.E. student in Artificial Intelligence & Machine Learning at Don Bosco Institute of Technology, Bengaluru. With 5 months of hands-on industry experience at Istudio Technologies, I've developed production-grade ML pipelines independently without close supervision.

My focus lies in bridging the gap between a trained model and a deployed system. I have practical exposure to MLOps, imbalanced data handling, feature engineering, and end-to-end pipeline design.

✓
End-to-end ML pipelines
✓
MLOps & Deployment
✓
Imbalanced Data Handling
✓
Feature Engineering
Data Science Visualization
Work Experience

Professional Journey

Building real-world ML solutions in production environments

Machine Learning Intern
Istudio Technologies
Aug 2025 – Jan 2026 · Remote

Delivered complete ML workflows on raw structured datasets — from ingestion through to evaluation — independently within a live, shared team codebase.

  • Designed end-to-end pipelines covering data cleaning, feature engineering, model training and evaluation
  • Applied GridSearchCV with stratified k-fold cross-validation across multiple estimators
  • Achieved 15% accuracy improvement through disciplined hyperparameter tuning
  • Developed strong intuition around Precision/Recall trade-offs on imbalanced datasets
  • Collaborated effectively via Git branching and pull requests without disrupting shared pipelines
Projects

Featured Work

Real-world data science solutions with measurable impact

Fraud Detection Pipeline
Python TensorFlow SMOTE MLOps Streamlit

Real-Time Fraud Detection Pipeline

Built a high-recall fraud detection system for severely imbalanced data (~0.2% fraud cases). Implemented full MLOps stack with SQL ingestion, feature engineering, model training, and Streamlit deployment with sub-second inference.

35%
Recall Improvement
<1s
Inference Time
View Repository
Student Performance Prediction
Python Scikit-learn Ensemble GridSearchCV EDA

Student Performance Prediction

Developed a predictive model for academic performance using multi-feature dataset with noise and collinearity. Built stacked ensemble combining Random Forest and Gradient Boosting with simultaneous GridSearchCV tuning.

92%
Test Accuracy
3
Estimators Tuned
View Repository
Skills

Technical Expertise

Tools and technologies I work with

🐍
Languages & Libraries

Python SQL R Pandas NumPy Scikit-learn TensorFlow Keras Matplotlib Seaborn

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ML & Statistics

Supervised Learning Unsupervised Learning Ensemble Methods Feature Engineering Cross-Validation SMOTE Neural Networks Hypothesis Testing Precision/Recall

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Tools & MLOps

Git Streamlit Pickle/Joblib MLOps Pipeline Model Serialization Cloud Deployment
Education

Academic Background

Building strong foundations in AI & Machine Learning

B.E. in Artificial Intelligence & Machine Learning
Don Bosco Institute of Technology (DBIT), Bengaluru
2024 – 2028

Relevant Coursework

Machine Learning Deep Learning Statistics for Data Science Database Management Systems Data Structures & Algorithms
Get In Touch

Let's Work Together

I'm actively seeking Data Science or Data Analyst internship opportunities. Ready to tackle real-world data problems and contribute from day one.

📧
Email
mdrafi18ml@gmail.com
📍
Location
Bengaluru, India
💼
Availability
Open to Internships