MP NEHA

Set up custom events in GTM and GA4 to track user behavior and conversions. Queried and transformed datasets in BigQuery using SQL, built interactive reports in Looker Studio, and used Python for data cleaning and analysis.

Performed exploratory data analysis on medium-sized datasets using Python and SQL. Built and evaluated regression and classification models, applied feature engineering, and improved model performance through cross-validation and hyperparameter tuning.

Analyzed structured and semi-structured datasets with SQL and Excel to optimize CPC return processes. Built dashboards and automated reports to track KPIs, improving reporting efficiency by 30% and contributing to a 20% increase in e-commerce sales.

Developed regression and classification models on structured datasets. Used statistical analysis and visualization to interpret model outputs, and documented findings for technical and non-technical stakeholders.

Grade: 8.2/10

Pursued a Bachelor of Engineering in Information Science, achieving a CGPA of 8.2/10.

Completed the Claude Developer Foundations certification.

Completed the Data Science with AI and Machine Learning certification.

Completed the Customer Segmentation using K-Means certification as part of a mentor-led internship.

Completed the Data Analytics Job Simulation certification.

Published academic research in June 2023.