I am a full-time Data Scientist with strong hands-on experience in Machine Learning, Deep Learning, Predictive Analytics, and Data Visualization. I work on transforming raw data into actionable insights and scalable ML solutions that drive real business impact.

I specialize in building end-to-end data science pipelines — from data collection and preprocessing to model training, evaluation, and deployment.

• Full-time Data Scientist working on real-world business problems
• Strong expertise in Python, SQL, Power BI, and Machine Learning
• Experience building forecasting models, churn prediction systems, NLP chatbots, and recommendation engines
• Skilled in data cleaning, feature engineering, model optimization, and automated reporting
• Domain exposure in finance, accounting, and taxation for structured business data analysis

• IBM Data Science Professional Certificate
• Harvard University – Machine Learning
• Harvard University – CS109a: Data Science (Online)
• LinkedIn Learning – Data Analytics
• Great Learning – Python & Pandas
• Continuous learner in AI, ML, and advanced analytics

Languages & Databases
Python | SQL | MongoDB | MySQL | PostgreSQL

Data Science & ML
Pandas | NumPy | Scikit-learn
TensorFlow | PyTorch
NLP: NLTK | spaCy | Transformers

Visualization & BI
Power BI | Matplotlib | Seaborn

Tools & Platforms
Git | GitHub | Jupyter Notebook | VS Code

• Data Analysis & Visualization projects
• Machine Learning & Deep Learning models
• NLP & AI-based applications
• Forecasting & Recommendation Systems
• End-to-End ML pipelines and automation

Enhancing all these given below----

• Advanced Machine Learning & Deep Learning
• NLP & Generative AI applications
• Model deployment and MLOps basics
• Scalable AI solutions for business growth

⭐ Feel free to explore my repositories, fork projects, or connect with me.
I’m always open to collaboration and impactful data-driven work.

"Learning never exhausts the mind. Data tells the story—we just have to listen."
— Bablu Kumar Jha