Hi there 👋! I am Utkarsh Mathur, a.k.a. DataMathur, a 23-year-old new-grad with MS in Data Science from University at Buffalo, B.Tech. from IIT Roorkee, and 2 years of experience in Data Science, Software Engineering, and Data Engineering.

I am passionate about leveraging my skills to develop scalable AI/ML software and services as well as picking up new skills on the way. My expertise spans programming (Python, C++, SQL, R, Perl, and JavaScript), machine learning, data engineering, and software development, and I am eager to apply these skills in an IT setting to drive innovation and deliver impactful solutions.

I am committed to continuous learning and passionate about creating impactful and practical solutions. I believe that with dedication, hard work, and a positive mindset, anything is achievable - a principle I've demonstrated throughout my academic and professional career. I am actively seeking opportunities in Data Science, Software Engineering, Data Engineering, and Data Analysis.

University at Buffalo, State University of New York
Master of Science in Data Science (Engineering Science)
January 2023 – June 2024

Indian Institute of Technology Roorkee (IIT Roorkee)
Bachelor of Technology in Polymer Science (Chemical Engineering)
July 2018 – July 2022

1. Data Scientist at Quinbay (May 2022 - October 2022)
2. Machine Learning Engineer at Hono (July 2021 - April 2022)
3. Data Scientist at ImagoAI (April 2021 - May 2021)
4. Research Intern under Dr. Kusum Deep (September 2021 - December 2021)
5. Research Intern under Dr. Mayank Goswami (September 2020 - June 2021)
6. Research Intern under Dr. Gaurav Manik (July 2019)

Python Programming: Leveraged Python to develop solutions and deliver analysis across various industries.

Machine Learning: Developed and deployed ML solutions for Big Data, Computer Vision, and NLP using sklearn, PyTorch, TensorFlow, and JAX.

Data Analysis: Performed data analysis with PowerBI, Tableau, Qlik, and R to extract actionable insights.

ETL/ELT Pipelines: Proficient in developing ETL pipelines for big data using Hadoop, Snowflake, and AWS Glue.

Software Developmemt: Experienced in fullstack deployment of developed solutions using Python, JavaScript (Node, Angular, React, MongoDB, Django), C++, and HTML/CSS.

1. Graph Neural Networks and Large Language Models: A Literature Review (Capstone Project)
2. Metaheuristic Optimization v/s Backpropagation (Course Project)
3. Top Spotify Tracks Database (Course Project)
4. Statistical Analysis (Course Project)
5. Clustering and Time Series Analysis (Course Project)

Feel free reach out at [email protected] and [email protected] to explore potential opportunities and collaborations.

For more information regarding means to contact me, please visit the contact page.

Schedule a virtual call with me