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👋 Hi, I'm Jenifar Mazumder

Data Scientist | Machine Learning | Streamlit Apps | NLP | Deep Learning

I’m a data scientist based in Erfurt with experience in machine learning, NLP, SQL, and building end‑to‑end data applications.
This portfolio showcases my strongest projects, including my deployed Streamlit app for battery cycle‑life prediction.


🚀 Featured Project: Battery Cycle Life Prediction (Streamlit App)

Live App: https://lithium-ion-battery-cycle-life-prediction.streamlit.app/
Repo: https://github.com/jenimaz91/DSML-Final-Project-Lithium-Ion-Battery-Cycle-Life-prediction-Streamlit_app

Predicting the total cycle life of lithium‑ion batteries using early‑life degradation signals and machine learning.


📂 Machine Learning Projects

1. NLP Text Classification – Fake vs Real News

Repo: https://github.com/jenimaz91/NLP-Text-Classification-Project
Binary classification using NLP preprocessing, TF‑IDF, and ML models.

2. CNN Image Classification – Transfer Learning

Repo: https://github.com/jenimaz91/CNN-Image-Classification-Transfer-Learning
Image classification using CNNs and transfer learning (VGG16 / ResNet).

3. House Price Prediction – Regression

Repo: https://github.com/jenimaz91/ML-Project-House-Price-Prediction
Predicting house prices using regression models and feature engineering.

4. EDA + SQL Analysis

Repo: https://github.com/jenimaz91/EDA-SQL-project
Exploratory data analysis and SQL queries on a real dataset.


🛠️ Tech Stack

Python

  • Pandas
  • NumPy
  • Scikit‑learn
  • Matplotlib / Seaborn
  • Jupyter Notebook

🤖 Machine Learning

  • Regression models
  • Classification models
  • Feature engineering
  • Model evaluation

🔤 NLP

  • Text preprocessing
  • Tokenization
  • TF‑IDF
  • Vectorization

🖼️ Deep Learning

  • TensorFlow
  • Keras
  • CNNs
  • Transfer learning

🗄️ Data & Databases

  • SQL
  • Tableau
  • DB Browser
  • EDA

🌐 Deployment & Tools Streamlit Git GitHub Virtual environments


📬 Contact


⭐ About This Portfolio

This repository serves as a central hub for all my data science and machine learning projects.
Each project includes a detailed README with methodology, results, and code.

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