👋Hello, I'm Yash Khadilkar!
Welcome to my Personal Portfolio! I'm an aspiring data scientist based out of San Francisco, CA. I previously studied Biomedical Engineering and Bioinformatics at UC Irvine.
I have completed internships at Cepheid as part of the Consumables Engineering and Product Transfer team. I also completed an internship at Starboard Medical as part of the Engineering team. I was a Part-time Researcher for NeuroDetect. My internships, research, and coursework in BME and bioinformatics have shown me how data can solve biological problems and improve business operations, fueling my pursuit of an MS in Business Analytics at UCLA.
I'm passionate about using data and strategic insights to drive innovation in big tech, consulting, biotech, and fintech companies.
Besides data science, I love talking about the NBA (especially the Golden State Warriors), the NFL (Niners), fantasy football, books, and hitting the gym.
Senior Capstone Project
Low-Cost, Efficient Microelectrode Array System
Position: Team Lead
Awards: UCI BioENGINE Industry Award, Chancellor’s Award for Excellence in Undergraduate Research, Undergraduate
Research Opportunities Program (UROP) Fellowship.
Led a team of 5 biomedical engineers to research and develop an award-winning microelectrode array recording system capable of recording neuronal voltage signals for the early diagnosis of neurological disorders.
Personal Projects
Medical Device Regulation Navigator
An AI-powered system that helps navigate FDA medical device regulations using Retrieval-Augmented Generation (RAG). It answers questions about compliance requirements and approval pathways.
Global and Local Alignment Application
A comprehensive Python application for performing global and local sequence alignments using dynamic programming algorithms.
Certifications and Specialization
AWS Cloud Practitioner
The certification validates basic understanding of AWS cloud concepts, services, security, architecture, pricing, and support.
Big Data Fundamentals with PySpark
This certification taught me the fundamentals of Big Data processing using PySpark, where I learned to work with Resilient Distributed Datasets (RDDs), Spark SQL DataFrames, and machine learning algorithms through hands-on projects analyzing Shakespeare's works, FIFA data, and genomic datasets. I gained practical experience with Apache Spark's distributed computing framework and built real applications like movie recommendation engines and spam filters using PySpark's powerful libraries.
Intermediate SQL
The certification taught me how to write SQL queries to extract, filter, and analyze data from databases, including using aggregate functions to calculate summaries and perform calculations that turn raw data into actionable insights. I also mastered sorting and grouping techniques to identify trends and patterns, giving me the skills to answer complex business questions through hands-on data analysis.
Introduction to Structured Query Language (SQL)
This certification taught me the fundamentals of SQL database language, covering basic syntax, multi-table database design, and essential operations like JOINs and foreign keys.
Data Structures and Algorithms Specialization
This specialization was designed to help me master fundamental algorithms and data structures to advance my career in software engineering or data science, with a strong focus on preparing for technical coding interviews at major tech companies.
Object-Oriented Data Structures in C++
This certification taught me how to program in C++ with a focus on implementing data structures as classes, including setting up a development environment for writing and debugging C++ code.
R Programming
This certification taught me how to program in R for statistical computing and data analysis, covering everything from installation and setup to writing functions, debugging, and organizing code. Also, I learned practical statistical programming skills through hands-on examples.
Six Sigma Foundations
This certification taught me how to apply Six Sigma methodology—a data-driven approach focused on improving processes, products, and services by reducing defects and variation. I learned the complete DMAIC framework (Define, Measure, Analyze, Improve, Control) along with key concepts like CTQ requirements, sigma levels, and project selection to successfully drive quality improvements in any organization.
Resume
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