Shivam S.

I help businesses turn messy, raw data into clean, structured, ML-ready datasets using Python, Pandas, NumPy and Scikit-learn. With a background spanning data analytics and applied machine learning — including deep learning-based defect detection systems (PyTorch, CNNs) for manufacturing clients, and campaign performance analytics with dashboards in Tableau and Power BI — I bring practical, real-world experience to every data project, not just theoretical knowledge. I can help with: Data cleaning and formatting Missing value handling and outlier detection Data preprocessing for machine learning Exploratory Data Analysis (EDA) CSV/Excel dataset preparation Pandas, NumPy, and Scikit-learn-based workflows I focus on delivering clean, well-documented datasets that are ready for analysis or modeling — with clear communication and on-time delivery every time. Tools: Python, Pandas, NumPy, Scikit-learn, Jupyter Notebook, Matplotlib, Tableau, Power BI Currently completing my MSc in Data Science & AI from BITS Pilani, adding academic rigor to hands-on project experience.