Hi, I'm Kaivalya Dixit
MS in Data Science
A passionate Data Scientist and ML Engineer with expertise in Python, Machine Learning, and Data Analysis. Currently pursuing my Master's in Data Science at NJIT.
About Me
Who I Am
I am a Data Science graduate student at New Jersey Institute of Technology (NJIT) with a strong focus on high-performance computing, distributed systems, and machine learning. My experience spans from developing enterprise-scale ETL pipelines to managing HPC infrastructure and GPU computing environments.
Currently working as an HPC User Support Specialist, I help researchers optimize their computational workflows and manage advanced GPU clusters. My technical expertise includes distributed machine learning, data engineering, and system administration, with a particular interest in building scalable AI solutions and high-performance computing infrastructure.
Fun Facts
HPC Expertise
Specialized in GPU computing and high-performance computing infrastructure
Data Engineering
Built enterprise-scale ETL pipelines and data quality systems
Research & Development
Contributing to cutting-edge ML and distributed computing projects
Technical Skills
Experience & Education
High Performance Computing
HPC User Support Specialist, Student Intern
Support 400+ researchers with GPU/CPU performance tuning, containerization, and environment troubleshooting Developed an automated benchmark suite for node health using Slurm, Bash, and Python Provisioned 6 NVIDIA Grace Hopper nodes with InfiniBand, managing hardware setup and driver configurations
High Performance Computing
HPC User Support Specialist, Student Intern
Support 400+ researchers with GPU/CPU performance tuning, containerization, and environment troubleshooting Developed an automated benchmark suite for node health using Slurm, Bash, and Python ...and 1 more achievements
Master of Science in Data Science
New Jersey Institute of Technology
Pursuing advanced studies in machine learning, data engineering, and statistical modeling
Master of Science in Data Science
New Jersey Institute of Technology
Pursuing advanced studies in machine learning, data engineering, and statistical modeling
Dassault Systems
Data Analyst Intern
Engineered Java-based ETL pipeline for Conversion Admin Service, processing enterprise-scale customer lifecycle data Designed interactive dashboard for license conversion tracking using internal visualization frameworks Automated data quality checks streams using SQL window functions and constraint validation
Dassault Systems
Data Analyst Intern
Engineered Java-based ETL pipeline for Conversion Admin Service, processing enterprise-scale customer lifecycle data Designed interactive dashboard for license conversion tracking using internal visualization frameworks ...and 1 more achievements
Kaggle Introduction to Machine Learning
Kaggle
Completed comprehensive machine learning course covering supervised learning algorithms
Kaggle Introduction to Machine Learning
Kaggle
Completed comprehensive machine learning course covering supervised learning algorithms
Bachelor of Technology in Electrical and Electronics Engineering
Mahindra Ecole Centrale
Comprehensive engineering program with focus on electrical systems, electronics, and programming
Bachelor of Technology in Electrical and Electronics Engineering
Mahindra Ecole Centrale
Comprehensive engineering program with focus on electrical systems, electronics, and programming
Featured Projects
FairShare
Smart bill splitting app for roommates. Upload receipts or PDFs, AI extracts items using Ollama/Perplexity, each person selects what they had, and penny-perfect math calculates who owes what. Features shareable links, lock/unlock bills, and a dashboard for bill history.
Ziggy Bot
Browser-based AI companion chatbot with intelligent task management and NLP capabilities. Features a hybrid AI architecture combining Perplexity Pro API with local LLM deployment, mobile-first PWA design, and Docker containerization for seamless deployment.
Quantitative Portfolio Simulator
Comprehensive stock portfolio simulation system implementing multiple trading strategies (Buy High, Buy Low, Buy Rising). Features dividend detection, mark-to-market calculations, weekly rebalancing, and performance benchmarking against a custom high-tech index.
Blog
Insights and thoughts on data science, machine learning, and AI
