Subjects studied: Science, Maths, English, Urdu,Marathi,Hindi.

Scored 71%

Came runners up in inter-school Ball Badminton

Subjects studied: Physics, Chemistry, Maths, Biology, English, IT.

Scored 86.93%

Completed graduation in Computer Engineering with focus on IT fundamentals, Business Intelligence, and Data Analytics.

Scored an aggregate of 6.35 CGPA till now.

Developed dynamic web pages using HTML, CSS, JS & PHP

Connected forms to MySQL databases

Assisted in real-time project deployment and bug fixing

Collected, cleaned, and analyzed large datasets to extract actionable insights. Used tools like Excel, Python (Pandas, NumPy), and SQL for data manipulation and analysis.

Created data visualizations and dashboards using tools such as Tableau / Power BI to present findings to the team.

Assisted in identifying trends and patterns to support business decision-making.

• Assisted in data collection and cleaning using Excel and SQL to ensure data accuracy. • Developed interactive dashboards in Power BI to track key business metrics. • Automated daily reporting tasks using Python, which improved efficiency and reduced manual effort by 20%. • Used AI-driven tools and generative AI solutions to analyze trends and provide insights for business decisions. • Collaborated directly with the Team Lead to understand business requirements and deliver data solutions. Projects

Gained hands-on experience in creating insightful data visualizations using real-world datasets. Learned how to transform raw data into interactive charts and graphs using tools like Excel, Power BI, and Python libraries. Focused on improving data storytelling and presenting business insights clearly and effectively.

Learned end-to-end data analysis using Python, including data import/export, cleaning, manipulation, and visualization. Built data pipelines and applied statistical techniques such as descriptive statistics, regression analysis, and exploratory data analysis (EDA). Worked with powerful libraries like NumPy and scikit-learn to implement supervised learning models and make data-driven decisions.

-Data Analysis
-Data Pipelines
-Data Import/Export
-Data Manipulation

-Data-Driven Decision-Making
-NumPy
-Data Cleansing
-Exploratory Data Analysis

Introduced to the core concepts and applications of Artificial Intelligence. Explored how AI mimics human intelligence through machine learning, neural networks, and data-driven algorithms. Gained a foundational understanding of real-world AI use cases, ethical implications, and future trends in automation and intelligent systems.

Explored Machine Learning and Neural Networks.

Studied real-life applications of AI.

Learned about AI ethics and future impact.