About Arpan Korat
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About me
• I am seeking an environment where I can excel through application of my skills and knowledge, and I can seek risk and challenges which can further enhance my abilities, knowledge and skill sets.
• I worked on various projects based on probability, business intelligence, machine learning, etc.
• My formal education at UB has included courses such as big data analytics, data mining, business intelligence, probability, advance linear algebra, numerical computing, statistical data mining, Pattern Recognition, Machine Learning, Data Modeling Languages.
• Currently I am learning about reinforcement learning, machine learning, and pattern recognition while finishing up my masters at UB.
• Strong ethics are extremely important to me. I will always choose the ethical opportunity above any other. Data is powerful tool I believe those of us who use it need to do so responsibly.
OS: Unix/Linux, Windows, MacOS
Prog Lang.: Python (5-Years, OOP, Structured), R, Java, C++, SQL, MATLAB, JavaScript, CSS, C#, HTML, PHP
Frameworks: MapReduce, ML (scikit learn, TensorFlow, PyTorch, Keras, PySpark, MLflow, MLlib), Sparks, React
Database: MySQL (2-Years), Oracle PL/SQL, Relational Databases, NoSQL, PostgreSQL, Backend, Full Stack
Tools: Rest API, GIT, PowerBI, Tableau, SQLite, MS Excel, Jupyter, DataBricks, Hadoop, Hive, ETL, R-shiny
Other: Deep Learning, Advance Statistics, Data Visualization, AGILE, AWS, A/B testing, Machine Learning
Education
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2021 - 2023
University At Buffalo, State University Of New York
Master of Science – Data Science
Courses: Probability, Data Analysis, Statistical Mining, Pattern Recognition, Machine Learning (ML), Data Modeling GPA: 3.84/4.00
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2016 - 2020
Gujarat Technological University (GTU), Ahmedabad, India
Bachelor of Engineering – Information Technology
Courses: Big Data Analytics, AI, Data Mining - Business Intelligence, Data Compression - Retrieval, Numerical and Statistical Method for CS, DBMS, Python Programming, Software Engineering, Algorithms, Data Structures CGPA: 9.25/10.00
Experience
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2022 - Present
Buffalo Neuroimaging Analysis Center
Research Assistant
• Improving the existing system to detect the Brain Lesions from MRIs of the patients and generate evaluation metrics.
• Collecting the data from the various MRI centers in US and perform image segmentation on 3D image of brain.
• Implementing image segmentation using PyTorch, MONAI, CCR (Super-Computer), Cloud and Parallel Processing. -
2022 - 2022
Grader
Graduate Student Assistant
• EAS 501: Introduction to Numerical Mathematics for Computing and Data Science, Grade 80-100 Coding programs.
• Provide critical optimization feedbacks to ensure students are learning from their mistakes -
2021 - 2021
The Spark Foundation
Data Scientist and Business Analyst (Intern)
• Perform exploratory data analysis (EDA) on various domains (Sports (2.3 million records), Retail) using Tableau.
• Generated sabermetrics measurements of the sports analytics data. -
2020 - 2020
Adis Technologies
Data Analyst (Intern)
• Worked on Microsoft SQL Server using T-SQL. Generated the performance matrix for the companies’ production units.
• Check for the loopholes in the database. Make database system 8% more robust than the existing database.