Abhishek Singh

Accomplished Sr. Software Engineer with a proven track record at Capgemini Technology Services, leading SAP Security UAR teams to enhance security and compliance.

As a graduate student in business analytics, extensive experience with Python, SQL, and Tableau has been applied to generate actionable insights from data.

Data driven problem solver.

SQL

Python

Data Manipulation with Pandas

Numpy

Optimizing Route Clearance Time Predictions After Crashes Using Machine Learning

In this project, we applied multiple machine learning regression models—Linear Regression, Decision Tree, Random Forest, SGD Regressor—to predict the time taken to clear a route after a crash. Each model's performance was compared using key metrics, and the best-performing model was selected to optimize prediction accuracy. This approach aims to enhance decision-making in traffic management systems.

Hypothesis testing for determining nutritional value across various baked goods of a bakery.

Used concepts like Hypothesis testing, pooled variance, test statistics, samples, standard deviation and critical values to find out the actual fiber content across various goods.

Used confidence interval techniques for determining the proper nutritional value of the goods.