Jan 2025 – Mar 2025 · 2 mos · On-site

• Successfully completed a 200+ hour training program on AI, Machine Learning, and Data Science under the DSDE initiative, covering Python, SQL, Data Engineering, and foundational concepts in ML and Responsible AI.
• Acquired hands-on experience with data wrangling, ETL/ELT pipeline development, exploratory data analysis (EDA), and predictive modeling using real-world datasets.
• Collaborated as part of the modeling team on a Hospital Management System (HMS) project, simulating a production-like environment with version control, agile practices, and team-based model deployment workflows.
• Applied machine learning algorithms, feature engineering, and interpretability techniques (LIME, SHAP) to ensure ethical and explainable AI solutions.
• Gained proficiency in Python (Pandas, NumPy), SQL, GitHub, and visualization tools like Matplotlib, Seaborn, and PowerBI for effective data storytelling.

Jul 2022 – May 2023 · 10 mos · Remote

• Completed a 10-month course on Career Program in Data Science with Python by Skill Academy by Testbook, covering skills from basic to advanced through projects, assignments, mock tests, and competitions.
• Successfully completed a project on the Amazing Mart dataset, involving data preprocessing, exploratory data analysis (EDA), machine learning model building, and deployment using Streamlit.
• Acquired proficiency in SQL, Statistics, Python, Pandas, NumPy, Matplotlib, Seaborn, Web Scraping, and Machine Learning by working with different datasets and completing real-world projects.
• Consistently achieved high grades (O, A, B) for assignments evaluated by industry experts (mentors from MNCs), with live classes every Saturday and Sunday and dedicated mentor support for doubt clarification and project guidance.
• Completed a 1-month internship, applying the complete Data Science Life Cycle (from data loading to model deployment) on a given problem statement and dataset, culminating in deploying the final solution on Streamlit.