About Me
Recent graduate engineer (B.E., Artificial Intelligence & Machine Learning) with a strong foundation in SQL, Python (Pandas, NumPy), and Excel for data analysis, validation, and reporting. Experienced in cleaning and ana…
Recent graduate engineer (B.E., Artificial Intelligence & Machine Learning) with a strong foundation in SQL, Python (Pandas, NumPy), and Excel for data analysis, validation, and reporting. Experienced in cleaning and analyzing large datasets, identifying trends and patterns, and building dashboards and DAX-based reports in Power BI to support data-driven decision-making. Skilled at translating business requirements into analysis-ready datasets and clear visual insights for stakeholders. Strong communicator and team player, comfortable collaborating across cross-functional, globally distributed teams, with a quick-learning approach to new analytics tools and platforms such as MS SQL Server and Snowflake.
Experience
Data Science & Analytics Intern
<p>Queried, cleaned, and transformed datasets using SQL, Python, and Excel, performing basic data validation to build reliable data foundations for reporting and analysis.</p><p> Built dashboards and visualizations that structured raw data into clear, actionable insights, collaborating with the team to define data needs and support data-driven decisions.</p>
PROJECTS
web based ML/DL system for early detection of learning disabilities
<p>Engineered data preprocessing and feature pipelines feeding ML models (up to 92% accuracy on time-series data): translated outputs into actionable, documented recommendations for end users.</p>