About Me
I am a tech enthusiast with a Master's in Computer Science Engineering from University at Buffalo. I see technology as a powerful tool to create innovative solutions that enhance people's lives. My academic journey and 3 years of industry experience have fostered a strong foundation in computer science fundamentals and a keen interest in data engineering. I have extensive experience using Python, ETL tools, and cloud services for data engineering projects. Additionally, I've built web applications using various frameworks in Python and Java. I continuously expand my skillset by readily embracing new technologies and tackling challenges with creative solutions.
Education
University at Buffalo
Masters of Science in Computer Science Engineering
Aug 2022 - Jan 2024
Courses: Data Intensive Computing, Data models and Query Languaue, Information Retrival, Pattern Recognition, Algorithms for Modern Computer Systems, Machine Learning, Deep Learning
Shri Vaishnav Vidyapeeth Vishwavidyalaya
Bachelor of Technology in Computer Science Engineering
July 2016 - Jun 2020
Courses: Applied Mathematics, Data Warehouse and Mining, BigData and Hadoop, Database Management Systems, Data Communication, Cloud Computing, Data Structures and Algorithms, Analysis and Design of Algorithms, Theory of Computation, Software Engineering and Project Management, Object Oriented Programming, Compiler Design, Computer Graphics, Computer Networks, Operating Systems, Unix and Shell Programming, Internet of Things
Skills
Languages and Frameworks
Python, Java, JavaScript, SQL, ReactJS, Angular, Spring Boot (REST APIs), Solidity
Cloud
Amazon Web Services, Microsoft Azure, Google Platform
Data Warehouse and Datalake
Snowflake, AWS Redshift, Google Cloud BigQuery, Google Cloud AlloyDB, Azure CosmosDB, Databricks, PostgreSQL, MySQL, MongoDB
Big Data
Hadoop, Spark, Kafka
Extraxt Transform Load
Apache Nifi, Apache Airflow, Data Build Tool, AWS Glue, AWS EMR, AWS Athena
Continuous Integration/Continuous Deployment
Git, Docker, Jenkins
Machine Learning and Artificial Intelligence
Deep Learning, Neural Networks(Convolutional Neural Network, Recurrent Neural Network, Generative Adverserial Nnetwork, K-Nearest Neighbour, Support Vector Machine)
Miscelleneous
Unix, JSON, XML, Exploratory Data Analytics, Data Modeling, Business Analysis, Agile