Deep Patel
About Deep Patel
Deep Patel is a Data Analyst currently working at CentralSquare Technologies in the New York City Metropolitan Area. He has a background in applied mathematics and data science, with experience in developing data pipelines and applying machine learning techniques.
Work at CentralSquare Technologies
Deep Patel currently works at CentralSquare Technologies as a Data Analyst since 2022. He previously held the position of Business Operations Analyst at the same company from 2021 to 2022. His role involves developing data pipelines and applying machine learning techniques to analyze data effectively. He operates within the New York City Metropolitan Area.
Education and Expertise
Deep Patel studied Applied Mathematics at Rutgers, The State University of New Jersey-Newark from 2013 to 2017, completing a four-year program. He is currently pursuing a University Certificate in Data Science at Rutgers University, which he has been studying since 2020. His educational background supports his expertise in data analysis and machine learning.
Technical Skills and Tools
Deep Patel possesses a variety of technical skills relevant to data analysis and web development. He is proficient in programming languages including Python, SQL, HTML, CSS, and JavaScript. He develops data pipelines using PySpark, Pandas, and SQLAlchemy. His experience includes using machine learning frameworks such as TensorFlow and Keras, as well as data visualization tools like Tableau, D3.js, and Plotly.
Previous Work Experience
Before his current role, Deep Patel held several positions that contributed to his professional development. He worked as a Customer Service Representative at Domino's Pizza for three months in 2012, a Technical Recruiter at US Tech Solutions for six months in 2017, and as a Fellow at Braven for two months in 2016. These roles provided him with diverse experiences in customer service and recruitment.
Data Modeling and Cloud Technologies
Deep Patel employs data modeling techniques such as Entity-Relationship Diagrams (ERDs) and Extract, Transform, Load (ETL) processes in his work. He utilizes Amazon Web Services (AWS) for data warehousing, leveraging services like EC2, S3, and RDS. His skills in web development include deploying applications on platforms like Heroku and GitHub Pages.