Lalitha

Data Science undergraduate (Class of 2028, CGPA 9.13/10) with hands-on experience in data analysis, data cleaning, and dashboard reporting gained through internships in data analytics and web development. Proficient in Python, SQL, MS Excel, and Power BI, with practical experience cleaning real-world datasets, performing exploratory data analysis (EDA), and building interactive dashboards that support data-driven decisions. Comfortable working across Data, Business, and Reporting analyst functions, with an added foundation in web technologies (HTML, CSS, JavaScript, Flask) that supports end-to-end analytics projects.

Data Analyst Intern - Elevates Lab - Virtual

(2026-01 - 2026-04)

• Analyzed and cleaned real-world datasets (including Titanic passenger data) using Python, Pandas, SQL, and Excel to handle missing values, remove duplicates, and prepare data for reporting.
• Performed exploratory data analysis (EDA) and SQL-based analysis (filtering, joins, aggregation) on the Superstore dataset using SQLite to identify trends across customers, products, and regions.
• Built interactive Power BI dashboards and Excel pivot table reports, documented on GitHub, to visualize KPIs and support data-driven decision-making.

Web Development Intern - Cognifiz Technologies - Virtual

(2026-05 - 2026-06)

• Developed responsive, cross-device web pages and interactive user interfaces using HTML, CSS, and JavaScript.
• Collaborated on front-end development tasks including debugging, testing, and performance optimization.
• Applied version control and code optimization best practices as part of a collaborative development workflow.

B.Tech - Computer Science & Engineering (Data Science) - CMR University (2024 - 2028)