Dhiren Vazirani's Portfolio

Education

Rutgers University, New Brunswick September 2019-May 2023 New Brunswick, New Jersey

• Bachelor of Science in Computer Science
• Minor in Quantitative Economics
• Minor in Data Science

Relevant Coursework:

• Data Structures
• Intro to Data Science
• Computer Architecture
• Intro to Computer Science Using Java
• DSGN&ANAL COMP ALGOR
• Software Methodology
• Internet Technology
• Data Management for Data Science

Skills

• Java
• Javascript
• Python
• C
• C++
• R
• SQL
• Tableau
• Power BI
• HTML
• CSS
• Microsoft Word
• Microsoft Excel
• SolidWorks

Experience

BNY Mellon - Data Scientist

May 2023 - January 2024 | Pittsburgh, PA

• Led the integration of AI/ML algorithms into existing workflows
• Optimized data storage, retrieval, and processing workflows using cloud platforms (AWS, Azure, GCP)
• Implemented a comprehensive data preprocessing pipeline
• Collaborated with cross-functional teams for cloud-based data solutions

Comcast - Data Analyst Intern

May 2022 - August 2022 | Mount Laurel, NJ

• Developed Python scripts to search through datasets and locate missing records
• Maintained interactive dashboards and reports using data visualization tools (Tableau, Power BI)
• Wrote Python scripts to identify instances of data loss
• Implemented various queries in SQL Workbench to find and locate consistency errors in data

Guardian Life - Middleware Engineering Intern

June 2021 - August 2021 | Remote

• Designed and tested an API proxy in Apigee
• Developed and maintained middleware solutions for efficient and secure communication and data exchange
• Assisted with support tickets in Apigee and Kafka Cloud environments
• Learned to scale middleware for millisecond response and manage multi-node run items

Projects

Sentiment Analysis for Cryptocurrencies using Neural Networks

April 2023 – May 2023

• Developed a cryptocurrency sentiment analysis tool for real-time insights from Twitter
• Applied Tweepy, NLTK, and TensorFlow to collect data, preprocess, and implement a neural network for accurate sentiment analysis
• Deployed a Flask API for practical use, showcasing proficiency in Python, machine learning, and deployment

Movie Recommendation System

December 2022 - January 2023

• Engineered a Movie Recommendation System in Python using collaborative filtering and matrix factorization (SVD) techniques
• Applied User-Based and Item-Based collaborative filtering algorithms for personalized movie suggestions
• Efficiently managed and processed large datasets with NumPy and pandas

Online Travel Reservation System

October 2021 – December 2021

• Designed and implemented a relational database system for an online reservation system
• Used HTML for the user interface and MySQL for the database server
• Worked in Java and JDBC for connectivity between the user interface and database server