
Atharv Arya
Student Intern

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About me
MS Robotics @ UB Buffalo | AI & Machine Learning | Former Intern at NUS Singapore | Electronics & Communication Engineer from VIT Vellore
Education

DAV Public School, Muzaffarpur
-High School Diploma 9.4
Vellore Institute of Technology
2019 - 2023Bachelor of Technology - BTech Electronics and Communications Engineering CGPA: 8.23
National University of Singapore
2022 - 2023Winter School Research, Deep Learning Deep Learning, Data Analytics A
University at Buffalo
2023 - 2024Master of Science - MS Mechatronics, Robotics, and Automation Engineering
Experience

SmartInternz
Mar 2022 - May 2022Student InternVirtual externship under smartbridge powered by IBM.

Hewlett Packard Enterprise
Dec 2022 - Jan 2023GAIP Intern- Completed in-depth training in cloud computing, specifically focusing on Microsoft Azure services.- Developed and deployed machine learning models in a production setting using Microsoft Azure Machine Learning Studio.- Set up and launched a cloud-based data warehouse on Microsoft Azure, ensuring the integrity and completeness of data.- Employed Microsoft Azure Stream Analytics for real-time data streaming analysis and processing.- Created and launched a serverless application on Microsoft Azure Functions, leveraging Python for on-demand execution of machine learning models.- Designed a data pipeline within Microsoft Azure utilizing tools like Azure Data Factory and Azure Databricks for efficient handling of large data volumes.- Performed data analysis and created visualizations on Microsoft Azure using data science tools such as Pandas and Matplotlib. Show less

National University of Singapore
Dec 2022 - Apr 2023• Led a team of 4 students as a part of research project under the guidance of Dr.Tan Wee Kek, exploring the intersections of deep learning and finance.• Took the lead in working with US dataset, focusing on intricate data engineering tasks to optimize the quality and usability of the data.• Successfully deployed an ARIMA model to forecast the Federal Reserve (FED) rate of the US, showcasing the practical implications of our findings.• Played a pivotal role in enhancing the overall performance of the regressive model through iterative improvements and refinements. Show less • Underwent intensive training in AWS and Data Analysis using Deep Learning methodologies, gaining hands-on experience and deepening subject matter expertise.• Actively participated in and contributed to a live project titled ”Machine Learning Aided Flood Prediction”, successfully deploying an ANN model that achieved an accuracy score of 87.17%.• Engaged in a holistic learning experience, receiving mentorship and guidance from esteemed NUS faculty: Prof. Samantha Sow and Dr. Amirhassan Monajemi. Show less
Research Intern
Jan 2023 - Apr 2023GAIP Intern
Dec 2022 - Jan 2023
Licenses & Certifications
- View certificate

Applied Data Science powered by IBM
IBMJul 2022 - View certificate

DevOps Fundamentals
IBMJul 2022 
GAIP 2022
Corporate GurukulFeb 2023- View certificate

Machine Learning
Stanford OnlineSept 2022
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