Sridhar Motapothula

Data Collection – Participated with stakeholders and sales Team (internal and external out of Germany) to gather data from various sources (Google Places API. Here maps API) Data Audit – Lead assessment of data quality, identify gaps and create summaries as per requirements. Data Scrubbing. Data Profiling – Assisting with creating multi-dimensional data views, data analysis, reports, and extracts. Providing administrative support in a complex team environment, Organizes and ships QR-Code to clients.

Data Pre Processing of massive data (current, voltage, and encoder values of Motor used in Electric Parking Brakes). Statistical Analysis with Granger-causality using Stata. Developed Machine Learning algorithms include Linear Regression, Logistic Regression, SVM, NB, Clustering Techniques to find the best-fit algorithm for the developed model and Trained the algorithm using ANN (TensorFlow) for the error rate and Integrated the with the mathematical model, and improved the accuracy from 80% to 94.5%.

Enhancing Customer Satisfaction through safely packing of products. Ensuring and maintaining optimum quality of services from Amazon Logistics. Managing and streamlining the flow of inventory items from the inbound receive department.

Applied Mathematics, Algorithms, Data Science, Optimisation, Entrepreneurship, Entrepreneurialuria Design Thinking.