Preksha User

As a Data Analyst in the Financial Crime Risk Team, I led audits and applied judgment across numerous investigations. I developed Power BI dashboards to enhance decision-making and implemented machine learning techniques to improve narrative quality in financial crime reviews, significantly reducing workload and increasing precision.

During my internship at DeetsDigital, I designed an OCR system for automating invoice data retrieval, achieving high accuracy in text recognition. I optimized data extraction processes and categorized data to enhance operational efficiency for businesses.

I performed audio classification on the UrbanSound8k dataset, categorizing sounds into distinct classes. I designed a neural network architecture to effectively learn and classify audio patterns, achieving significant accuracy.

In this project, I analyzed records of near-Earth objects to identify potential hazards. By applying decision trees and exploratory data analysis techniques, I achieved a high accuracy score in predicting threats to Earth.

I conducted a sentiment analysis on a WhatsApp group to gain insights into user interactions and mental health. Utilizing NLP techniques, I analyzed over 10,000 messages and created an interactive Tableau dashboard to visualize trends and sentiments.

Grade: 8.90

Pursued a Bachelor of Technology in Chemical Engineering with a CGPA of 8.90. The program included extensive coursework and projects in chemical engineering principles and applications.

Grade: 92.4%

Completed secondary education under the Central Board of Secondary Education (CBSE) with a percentage of 92.4, demonstrating strong academic performance.