ONKAR VISHNU SAUDAGAR

+1-930-***-**** Bloomington, Indiana, USA

ad027o@r.postjobfree.com LinkedIn/onkarsaudagar Github/onkarsaudagar EDUCATION

Master of Science in Data Science, Indiana University May 2025 Luddy School of Informatics, Computing and Engineering Relevant Coursework: Statistics, Machine Learning, Elements of Artificial Intelligence Bachelor of Information Technology, SPPU May 2023

CGPA: 9.12/10.0

Honors in Data Science, SPPU May 2023

EXPERIENCE

AlgoAnalytics Sept 2022-Apr 2023

AI/ML Intern Pune, IN

• Classified the 5000+ CCTV images taken from MSME industry as clean or noisy, so that noisy images do not influence our Anomaly detection model.

• Used various methods such as Manual thresholding, Machine learning and Deep Learning on the kurtosis and entropy values of every image which gave 80.4%, 81.25% and 99.49% respectively.

• Extracted image features, including foreground images, background images, and black pixels, to optimize anomaly detection models; achieved a 40% reduction in false positives while improving true positives by 25%. The Data Monk Jun 2021-Jul 2021

Data Analyst Intern Bangalore, IN

• Spearheaded the production of instructional videos by leading the entire process from scripting to editing, resulting in a library of 40+ video tutorials that garnered over 42k+ views and boosted subscriber base by 25%.

• Completed 600 minutes of content creation in a month and received more likes and views than my teammates.

• Worked in a team of 5 people and was promoted as a Team Leader. PROJECTS

Facedoc Feb 2022-May 2022

• Developed and implemented a Computer Vision model utilizing MobileNet and DenseNet architectures to enable document retrieval through facial scanning, streamlining government employee workflows.

• Worked as a team to create a dummy dataset to train multiple CV models, of which MobileNet was the best giving accuracy of 98.78%.

Cryptocurrency price prediction Oct 2021-Dec 2021

• Developed an advanced Bitcoin price forecasting model utilizing historical data to predict price movements for the next ’x’ days, enabling data-driven decision making, hence improving profitability.

• Used LSTM and Logistic Regression models with accuracies of 89.20% and 85.26% respectively.

• Developed and deployed a Python-based machine learning model using Flask and Heroku infrastructure. TECHNICAL SKILLS

• Languages: Python, R, C/C++, SQL, Java

• Web Design: HTML, CSS, JS, MongoDB

• Operating Systems: Windows, Linux

• Tools: Tableau, PowerBI, Git

PUBLICATIONS

• Sentiment and Statistical Analysis on Custom Twitter Dataset for 2022 Russo-Ukranian Conflict Published in IITCEE (IEEE conference) 2023

• Image Classification Based on Quality of Pixels

Published in ICHCSC (ACM Springer) 2023

ACHIEVEMENTS

• Led a team of six individuals to second place in the SIH (Smart India Hackathon) 2022.

• In my Bachelor’s, headed the position of the Content Head at the EDC (Entrepreneurship Development Club).

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