Personal Portfolio

Email
ronitgandhi1610@gmail.com
Phone
+1 (732) 470-6368
Birthday
Oct 16, 2001
Location

New Brunswick, New Jersey, USA

About me

I'm a Data Scientist and Machine Learning Enthusiast based in New Jersey, specializing in building intelligent systems and data-driven solutions. I thrive on solving challenging problems and transforming raw data into actionable insights.

My goal is to design solutions that are not only robust and efficient but also user-focused and intuitive. Whether it's developing predictive models, optimizing workflows, or creating interactive visualizations, I bring a unique blend of technical expertise and creativity to every project. I've had the opportunity to work on impactful projects ranging from fraud detection to NLP, helping both individuals and organizations leverage the power of data effectively.

What i'm doing

Data Science Solutions

Building predictive models and uncovering actionable insights.
Machine Learning Models

Developing and optimizing AI models for diverse applications.
Cloud and Big Data

Managing scalable systems on AWS, Azure, and Google Cloud.
Data Visualization

Crafting dashboards and visuals to simplify complex data.

Publications

Control Engineering Practice

" Machine Learning Model-Based Design and Model Predictive Control of a Bioreactor for the Improved Production of Mammalian Cell-Based Bio-Therapeutics"

Technologies

Python

Java

MySQL

Google Cloud

AWS

Jupyter

Git

Docker

HuggingFace Transformers

Resume

Education

Rutgers University
2023 — E 2025
Masters of Science in Statistics - Data Science (GPA: 3.8/4.0)
University of Mumbai
2019 — 2023
Bachelors of Technology - Electronics Engineering (CGPA: 8.26/10.0)

Experience

Machine Learning Engineer - Research
Jun 2024 — Present
Under Prof. Rohit Ramachandran, Rutgers School of Engineering
- - Developed and deployed predictive models, including Random Forest, GLM, and neural networks, using Python and MATLAB, for pharmaceutical, agrochemical, petrochemical, and energy processes.
- - Integrated artificial neural networks with MATLAB simulations to optimize control strategies and enhance process efficiency.
- - Conducted experimental validation to ensure model accuracy and reliability in real-world applications.
- - Contributed to a published study showcasing data-driven solutions for complex bioprocess engineering challenges.
Data Analysis - Research
Jun 2024 — Aug 2024
Under Prof. Jerry Kim, Rutgers Business School
- - Developed and deployed machine learning models, including causal forests, using Python, R, Scikit-learn,MySQL and EconML to analyze the impact of robot umpires on player performance, uncovering strategic adjustments and mitigating human bias in decision-making.
Data Science Intern
Oct 2021 — Jun 2022
Google via DKSH Smollan
- - Designed and developed a business intelligence tool leveraging Python, Google Cloud (BigQuery, Cloud Functions), and LookerStudio, increasing data processing efficiency by 40% and enabling data-driven decision-making.
- - Led a team of five engineers to manage and optimize over 40 Python scripts and cloud functions, streamlining workflows and accelerating project delivery timelines by 30%.
- - Automated competitor data extraction through advanced web scraping techniques with Selenium, enhancing market insights and improving competitive strategy formulation.
- - Optimized query runtimes by 75% and improved system responsiveness by integrating BigQuery for large-scale data analysis and operational efficiency.