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Megha Gupta

@meghagupta4

I build data dashboards and fraud detection models that turn complex data into decisions.

India
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What I'm looking for

I'm looking for a data-focused role where I can use Power BI, SQL, Python, and machine learning to analyze real-world problems, build useful dashboards or models, and grow through hands-on projects.

I've built Power BI dashboards for Blinkit and Amazon sales performance, turning raw data into KPI tracking and actionable business insights.

For Amazon analysis, I processed 89K+ rows with Power Query and used advanced DAX measures including TOTALYTD and TOTALQTD to monitor revenue and product metrics. I also used gradient distributions and conditional matrix charts to identify high-performing categories such as Men's Shoes for seasonal inventory decisions.

During my Data Science internship at AppSquadz, I engineered a fraud detection system for 284,000+ credit-card transactions. I cleaned and engineered features, addressed severe class imbalance with SMOTE, and trained Logistic Regression and Random Forest models with a focus on recall to reduce missed fraud.

I'm a Computer Science graduate specializing in Artificial Intelligence and Data Science, with hands-on skills in Python, SQL, Power BI, Excel, data visualization, and machine learning.

Experience

Work history, roles, and key accomplishments

AP

Data Science Intern

AppSquadz

Jul 2024 - Aug 2024 (1 month)

Engineered a fraud detection system processing 284,000+ credit card transactions with advanced data cleaning and feature engineering. Handled severe class imbalance using SMOTE and trained Logistic Regression and Random Forest models, prioritizing Recall to reduce missed fraudulent transactions.

Education

Degrees, certifications, and relevant coursework

Panipat Institute of Engineering and Technology logoPT

Panipat Institute of Engineering and Technology

Bachelor of Technology, Computer Science Engineering with Specialization in Artificial Intelligence and Data Science

2022 - 2026

Grade: 7.57/10

Completed BTech in Computer Science Engineering with Specialization in Artificial Intelligence and Data Science, achieving a CGPA of 7.57/10.

Tech stack

Software and tools used professionally

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