Harshavardhan Achyuta

Creating a smart system to predict client risk using machine learning for fintech factoring. #CubX

• Extracted, preprocessed, and analyzed large scale data retrieved from multiple APIs • Performed data-driven analytics for generating insights • Developed a Machine learning pipeline for the Logistic Fleet Management System to accurately predict the truck’s travel time in the context of Milk Run Transportation

• Analyzed and filtered geospatial data sent by the client in multiple batches • Performed Feature Engineering on the data using Python libraries like NumPy, Pandas, Matplotlib, and Seaborn • Developed scripts by using python boto3 to decompose the files in S3 • Good hands-on experience in AWS services to integrate into custom frameworks using services like S3 and EC2.

• Research and experiment on image preprocessing techniques like gray scaling, noise reduction, resizing, erosion, dilation, etc. using NumPy and OpenCV library • Developed modules using python to automate the image preprocessing and applied various techniques like SIFT, ORB, and BRISK in Computer vision to extract the key features • Descriptors generated from the key points are used for image matching using the brute force algorithm to avoid company stamps forgery

• Research and experiment on image preprocessing techniques like gray scaling, noise reduction, resizing, erosion, dilation, etc. using NumPy and OpenCV library • Developed modules using python to automate the image preprocessing and applied various techniques like SIFT, ORB, and BRISK in Computer vision to extract the key features • Descriptors generated from the key points are used for image matching using the brute force algorithm to avoid company stamps forgery

Lidar and Radar, Computer Vision, Signal Processing, Autonomous Robert Learning, Advanced Mathematics, Wireless Communication, Deep Learning and Artificial Intelligence

Digital Signal Processing, Internet of Things and Control Systems