Python (Data Analysis, Machine Learning, Automation)


Worked on data science and machine learning projects aligned with IBM industry use cases.
Built and optimized data preprocessing and modeling pipelines using Python and Scikit-learn.
Applied classification techniques to structured business datasets for risk and prediction tasks.
Gained exposure to industry-grade workflows, model evaluation, and best practices used in enterprise environments
Completed 6 months Machine Learning and Data Science Program by IIT ROORKEE.
Python (Data Analysis, Machine Learning, Automation)
SQL (Data querying, joins, performance optimization)
Power BI (Dashboards, data modeling, DAX, reporting)
Machine Learning (Scikit-learn, model evaluation & deployment basics)
Deep Learning (TensorFlow, Keras, PyTorch – fundamentals) Data Analysis Libraries (Pandas, NumPy, Matplotlib, Seaborn) Big Data Tools (Hadoop – basics) Version Control (Git, GitHub) Tools & Platforms (Jupyter Notebook, Google Colab, VS Code, Excel)
Data Science
AI, Machine Learning, Teaching, Business Growth, and Emerging Technologies
Music