Harshavardhan Achyuta
Bis 2021, Work Student in the area of Data Science, DHBW Ravensburg Campus Friedrichshafen
Ravensburg, Deutschland
Über mich
• Solid programming skills with C, Python, and its libraries. • Implement a wide range of multi-purpose Machine learning algorithms with end-to-end deployment. • Solid understanding of math intuition behind machine learning algorithms. • Excellent problem-solving skills, with attention to detail and focus on quality. • Hands-on training on different Machine Learning models on numerous datasets. • Data visualization with the help of Seaborn and Matplotlib in python. • Expertise in validating Data with EDA/ETL Techniques. • Expertise in NLP with classification and sentiment analysis problem statements. • Experience in creating mature Data science pipelines encompassing Data standardization, Feature extraction, Feature selection, model validation, and optimization using MLOPS and MLFLOW. • Good understanding of Dockers and Kubernetes and deployment of models in cloud services like AWS, AZURE, and GCP
Werdegang
Berufserfahrung von Harshavardhan Achyuta
6 Monate, Nov. 2021 - Apr. 2022
Master Thesis
DHBW Ravensburg Campus Friedrichshafen
• 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
4 Monate, Juli 2021 - Okt. 2021
Work Student in the area of Data Science
DHBW Ravensburg Campus Friedrichshafen
• 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.
6 Monate, Nov. 2020 - Apr. 2021
Work Student in the area of Deep Learning and Computer Vision
Hochschule Ravensburg-Weingarten• 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
Ausbildung von Harshavardhan Achyuta
Bis heute 4 Jahre und 10 Monate, seit Sep. 2019
Electrical and Embedded systems
Ravensburg-Weingarten University of Applied Sciences
Lidar and Radar, Computer Vision, Signal Processing, Autonomous Robert Learning, Advanced Mathematics, Wireless Communication, Deep Learning and Artificial Intelligence
3 Jahre und 11 Monate, Juli 2012 - Mai 2016
Electronics and Communication Engineering
SRM University
Digital Signal Processing, Internet of Things and Control Systems
Sprachen
Englisch
Fließend
Deutsch
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