Mohd Suhel Ansari — Data Scientist

About

I build data products and prototypes that turn noisy data into clear, shareable insights. I love writing reproducible notebooks, building ML models, and turning analyses into visual stories. My goal is to join a team where I can contribute to real-world ML problems and continue learning.

Highlights

Built an end-to-end classification pipeline for X (link to project)
Deployed a small Flask app to showcase model predictions
Worked with image / text data and created interpretable dashboards

Projects

1) House Price Predictor

Regression model using feature engineering + XGBoost. Data cleaning, EDA, Shap explanations, and a Streamlit demo.

Code Live

2) Sentiment Classifier (NLP)

Fine-tuned transformer for sentiment analysis with data augmentation and confusion-matrix dashboard.

Code Notebook

3) Image Classifier (Transfer Learning)

Transfer learning with ResNet backbone. Dataset, augmentation, training logs and deployment notes included.

Code Blog

Contact

I'm open to internships and junior data scientist roles. The best way to reach me is by email or GitHub.

Email:

suhelansari95577@gmail.com

GitHub:

github.com/suhelansari123-cmd

LinkedIn:

linkedin.com/in/Suhel Ansari