Aditya Brahme Email & Phone Number

CS-556: Mathematical Foundations for Machine Learning under Professor Nikhil Muralidhar.CS-513: Knowledge Discovery & Data Mining under Professor Dehnad Khashayar.

Hoboken, New Jersey, United States

• Developed data-driven solution to forecast influenza hospitalization, aiding the CDC and healthcare facilities• Designed multi-resolution approach capturing both local and global characteristics to model weekly hospitalization rates• Employed stacked model, which leveraged strength of both Neural Network (local model) and Gradient Boosting (global model), to achieve mean percentage improvement of 23% for nowcasting and 63.85% for 2 weeks ahead forecast

CS-556: Mathematical Foundations for Machine Learning under Professor Nikhil Muralidhar. • Prepared tutorials and conducted weekly Q&A sessions to assist students in grasping fundamentals of Mathematics in Machine Learning

San Diego, California, United States

• Designed and implemented scalable database architecture, including triggers, indices, and sequences, to automate the updation process• Created SQL scripts from the data model and employed them with ETL pipelines for efficient data ingestion and storage in MS SQL Server environment, resulting in solving data discrepancy in documents and saving time up to 30%• Utilized scripts and data visualization tools to generate reports and dashboards for in-depth analysis of large sales datasets• Formulated design document & business requirement that guided complete project lifecycle, ensuring high quality of deliverable

Pune, Maharashtra, India

• Built multi-dimensional dashboard to optimize data analysis and decision-making processes for clients by providing intuitive data visualizations, displaying key performance indicators and trends, and monitoring of healthcare data on Tableau• Managed and updated SQL pipelines for ELT workflows and DQM check using Redshift, S3, MSSQL to supported analytical needs• Analyzed and optimized queries to enhance data warehousing productivity by 23% and participated in quality performance testing

Pune, Maharashtra, India

• Automated the process of extracting important information from text messages of banks which increased efficiency of the team by 60%. • Performed data cleaning and sorting of messages in different categories using python.

• Developed an intelligent agent to help auto insurance providers to identify damaged cars and its details from image• Utilized web scraping technique with implementation of Selenium and Python to create an image database.• Worked alongside team to develop Deep Learning model using TensorFlow and OpenCV, leveraging the transfer learning approach and the ImageNet model, which resulted in an accuracy rate of 81%.• Implemented Optical Character Recognition library to extract text from image with an accuracy of 95%

Master'S Degree, Machine Learning

• Mathematical Foundation for ML • ML Fundamental and Application • Deep Learning • Natural Language Processing • Web Mining

Bachelor Of Engineering - Be, Computer Science, 8.56

• Object-Oriented Programming • Data Structures & Algorithm • Database Management Systems • Data Mining & Warehousing • Data Analysis •.