Yash Khandelwal

Hello!!

Welcome to my online portfolio!

I am a Computer Science Masters student at UC San Diego with interests in Data Science & Applied ML, focusing specifically on NLP and Recommender Systems.

I have Data Scientist Internship experience in the Trust & Safety domain at Indeed. I also have two years of backend software engineering experience in the Digital Ads domain from Apple.

I am currently towards the completion of my Masters degree having taken several relavant courses of my interest, and having worked on several projects directly contributing to my skills.

University Of California, San Diego, CA

Master of Science - Computer Science

  • Age: 25
  • Degree: Master
  • Freelance: Available
  • Work Experience: 2 yr 2 mo

Skills

Programming and Markup Languages

Python Professional Experience
Java Professional Experience
SQL Professional Experience
C++ Project Experience

Tools, Frameworks and Technologies

PyTorch Professional Experience
Tensorflow Project Experience
Scikit-Learn Professional Experience
Pandas Professional Experience
Numpy Professional Experience
Matplotlib/Seaborn/Plotly Professional Experience
Containerization (Docker) Professional Experience

Concepts and Courses

Machine Learning Professional Experience
Recommender Systems Project Experience
Natural Langauge Processing Professional Experience
Deep Learning Professional Experience
Information Retrieval Project Experience
Data-Structures Professional Experience
Algorithms Professional Experience
System Design Professional Experience
Object Oriented Programming Professional Experience
Operating Systems Coursework Experience

Additional skills and exposure

Resume

Education

Master in Science - Computer Science

University Of California, San Diego, USA
Sep 2021 - Mar 2023
Location: San Diego, California, United States

Degree: MS

CGPA: 4.0/4.0

Course(s):: Big Data Mining and Spark Analytics, Deep Generative Models, Advanced Statistical NLP, Unsupervised Learning, Recommender Systems & Web Mining, Probabilistic Reasoning & Learning

IDD (B.Tech. + M.Tech.) in Electrical Engineering

Indian Institute of Technology (BHU)
Jul 2014 - Jun 2019
Location: Varanasi, Uttar Pradesh, India

Degree: B. Tech + M. Tech (Integrated Dual Degree) in Electrical Engineering (Masters in Power Electronics)

CGPA: 9.09/10

Course(s):: Information Retrieval & Recommender Systems, Computer Programming, Probability & Statistics, Linear Algebra

Senior Secondary School

Shiv Jyoti Sr. Sec. School
2012-2014
Location: Kota, Rajasthan, India

Stream: Science/Maths

Board: CBSE

Percentage: 88%

Secondary School

Kishor Suryavanshi International School
2010 - 2012
Location: Nashik, Maharashtra, India

Board: CBSE

Grade points: 10.0

Percentage: 95%

Additional Coursework

Natural Language Processing with Machine Learning

Educative.io
Dec 2021

Machine Learning For Software Engineers

Educative.io
Dec 2021

Machine Learning

Coursera (Stanford University)
Oct 2021

Achievements

Common Admissions Test (CAT): 99.93 %ile

Jan 2019
Location: Varanasi, Uttar Pradesh, India

Common admissions test is one of the most competitive exams in India. This test measures aptitude in English, Quant, Data Interpretation, and Logical Reasoning. The exam witnesses more than 300,000 test takers nationwide.

Y.E.S. HONDA Scholarship Award

Feb 2017
This prestigious scholarship award by the Honda Foundation is bestowed upon eligible candidates who have passed a rigorous selection process. It awards a scholarship of $3000 and an additional $7000 for doing internship from Japan.

Y.E.S. Honda 2016 Awardees

HONOURABLE MENTION

Indian Institute of Technology, (BHU)
Apr 2017
Location: Varanasi, Uttar Pradesh, India

Recipient of the award “HONOURABLE MENTION” (2017) for achievements and contributions in the field of Aero-modelling, Gymkhana, IIT(BHU).

One of the most prestigious titles awarded to the students by the college gymkhana, it marks exemplary work and contributions by a student in gymkhana activities.

First Runner Up, Multi-Rotor event, Techkriti

Indian Institute of Technology, Kanpur
Mar 2017
Location: Varanasi, Uttar Pradesh, India

Techkriti is the annual techno-management fest of IIT Kanpur. The multi-rotor event has the teams participating to show excellent drone making and flying skills. There were more than 25 teams participating in the event.

Second Runner Up, Momentum (Water Rocket Event), Technex

Indian Institute of Technology, (BHU)
Aug 2015
Location: Varanasi, Uttar Pradesh, India

Momentum is a water rocket event and is part of Technex, which is the annual techno-management fest of IIT(BHU). This event witnesses a footfall of around 300 participants every year.

First Runner Up, Biz-craft, Prastuti

Indian Institute of Technology, (BHU)
Aug 2016
Location: Varanasi, Uttar Pradesh, India

Biz-craft is a business problem solving event and is part of Prastuti, the annual departmental fest of the Department of Electrical engineering at IIT(BHU).

JEE-Advanced Rank Holder: 2714

Jun 2014
Location: Kota, Rajasthan, India

Popular as one of the toughest undergraduate admissions exam in the world, this exam witnesses a participation of more than 1.4 million students each year. My rank puts me at 99.8 percentile.

Maharastra Govt. Scholarship in 7th standard

2009
Location: Nashik, Maharashtra, India

This scholarship is provided by the Maharastra Govt. for students who clear the cut-off in an exam conducted by them. This paper tests the aptitude of the student in English and Maths, as well as essay writing skills.

Experience

Data Scientist Intern

Indeed Inc.
Jun 2022 - Sep 2022
Location: San Diego, CA, USA

At Indeed, I worked with the Trust and Safety Engineering Data Insights team. I worked on updating critical fraud detection models with new features and push it to production. My new model achieved a 0.02 point increase in AUC, and reported an increase in recall in preliminary tests. Along the way, I worked on updating several data engineering pipeline infra tech debts which I encountered such as speeding up the data extraction pipeline by almost 75%.

Software Engineer (Level 2)

Apple India Pvt. Ltd.
Jul 2019 - Present
Location: Hyderabad, Telengana, India

I joined as a campus hire at Apple-India. My time at apple has allowed me to work with a variety of software technologies such as Spring Boot, Hibernate, Docker, CI-CD and more. I worked at a myriad of projects and picked up tasks individually and led them to fruition. My work here was highly extolled by my manager and colleagues.

International Research Internship

Kyushu University
Jul 2017 - Aug 2017
Location: Fukuoka Prefecture, Japan

Title: Simulation and Application of Particle Filter based SLAM

Professor: Prof. Shinji Hokamoto (Department of Aeronautics and Astronautics, Kyushu University, Fukuoka, Japan)

Details: Studied and applied the particle filter based approach to SLAM on a 2D mobile rover system using April Tags as real world references.

Projects

Critical Analysis of Transformer Models on COVID-QA Dataset

UC San Diego
Feb 2022 - Mar 2022
Location: San Diego, CA, USA

Github: Covid_QA_Analysis

Performed critical analysis on extractive question answering task by fine-tuning Covid-QA dataset on various transformer models such as BERT, RoBERTa, ALBERT, DistilBERT, and ELECTRA.

Used libraries from Hugging-Face and PyTorch and SOTA v3-8 TPU hardware to fine-tune the models.

Achieved a maximum F1 score of 68% and exact-match of 43% using fine-tuned ELECTRA, which is 40% better than the result published in the paper where the dataset was first introduced.

Resume screening and keyword extraction

UC San Diego
Dec 2021
Location: San Diego, CA, USA

Performed keyword extraction and job role multinomial classification on a 'Resume' dataset.

Used NLP techniques such as count vectorizer and tf-idf to identify keywords and skills essential to job role.

Applied and tested various classification models such as baseline LR, Random Forest, XGBoost, and MLP with word embeddings as features. Applied PCA to further reduce features.

Achieved a Balanced Accuracy Score of 92% post hyper-parameter tuning on XGBoost Classifier.

Fit prediction on cloth rental dataset

UC San Diego
Oct 2021 - Nov 2021
Location: San Diego, CA, USA

Worked on multinomial prediction for cloth fit (small, fit, large) based on past user and item interactions.

Did exploratory data analysis (EDA), cleanup, and preprocessing on 'RentTheRunway' cloth rental dataset.

Implemented various prediction models and techniques such as multinomial logistic regression, cosine similarity, sentiment analysis, and ensemble method.

Achieved an F1 score of 0.7 (0.17 better than the baseline 'predict always fit' model).

M.Tech. Project & Thesis

Indian Institute of Technology, (BHU)
2018-2019
Location: Varanasi, Uttar Pradesh, India

Title: Control of a 21-level Hybrid Multilevel Inverter using Modified Finite Set Model Predictive Control with reduced switching stresses.

Professor: Prof. R. Mahanty (Former H.O.D., Department of Electrical Engineering, IIT(BHU), Varanasi)

Paper: Reduced voltage stress hybrid multilevel inverter using optimised predictive control

B.Tech. Project

Indian Institute of Technology, (BHU)
Jan 2017 - Dec 2017
Location: Varanasi, Uttar Pradesh, India

Details: Designed an android application to mimic a transmitter and use it to control an Arduino based quad-copter by establishing a Bluetooth wireless connection.

Professor: Prof. R. K. Saket (Department of Electrical Engineering, IIT(BHU), Varanasi)

DIH Project

Indian Institute of Technology, (BHU)
Jan 2016 - May 2016
Location: Varanasi, Uttar Pradesh, India

Title: Visual SLAM (Simultaneous Localisation and Mapping) on UAVs.

Professors:

Details: Implemented Visual Odometry as a solution for the SLAM Problem in a UAV using a monocular camera and Extended Kalman filter (EKF) algorithm.

Research Paper

Reduced voltage stress hybrid multilevel inverter using optimised predictive control

Indian Institute of Technology (BHU)
Jun 2020

Extra-Curricular Activities

Joint Secretary of Aero-Modelling Club

Gymkhana, Indian Institute of Technology, (BHU)
Jul 2016 - May 2017
Location: Varanasi, Uttar Pradesh, India

Under my tenure at the joint secretary of this club, I took the initiative to bring new projects within the purview of the club, and introduced technologies such as racing and autonomous drones. I motivated the freshers of our college to actively participate in the club’s activities by conducting workshops, seminar, and industrial visits. Under my tenure, the club grew in leaps and bounds, and IIT(BHU) witnessed golden days of the club. The visibility of the club grew highly as we participated and displayed our projects at college events, thereby making this club one of the most popular and active clubs at the college. One of the prominent events conducted by our club in Technex went on to receive the best technical event award by the gymkhana for that year.

Head, Ascension

Technex, Indian Institute of Technology, (BHU)
Jul 2016 - May 2017
Location: Varanasi, Uttar Pradesh, India

In 2017, our club introduced a dedicated events category called as “Ascension” in Technex, the annual techno-management event of IIT(BHU). I was the head of that event-category, which boasted four prominent and exciting technical competitions related to aero-modelling. We witnessed a high internal as well as external participation in these events, totalling to a footfall of about 600. This activity set aero-modelling club apart from other technical activities and it made a name and a permanent place for itself in Technex for years to come.

Coordinator, Dronetech (Multi-rotor event), Ascension

Technex, Indian Institute of Technology, (BHU)
Jul 2016 - May 2017
Location: Varanasi, Uttar Pradesh, India

I was the chief coordinator for Drone-tech, one of the events of Ascension at Technex. This event had the highest prize money of all the events at Technex. This event primarily tests the participants skills in drone making and flying. I, along with my team designed the problem statement for the event. We constructed the arena and organised the event which went on to become a grand success. Even now, the tradition of this event is continued and it remains the event with the highest stakes each year.

Coordinator, Prof. Veerbhadra Mishra Memorial Airshow

Technex, Indian Institute of Technology, (BHU)
Jul 2016 - May 2017
Location: Varanasi, Uttar Pradesh, India

Aero-modelling club hosts a very unique event each year during Technex, which displays its technological powress in its full glory. Here, we display many of our flying models and perform exciting feats with them, which are a visual treat for the audience. We see a footfall of more than 2000, including students from various schools, and also professors as well as prominent members of the society. Here, I took up a lead role and led my teams efforts to make this show a grand success. During this year, we displayed new models such as 3D helicopter, racing drone formation, and drone fighting.

Co-coordinator, Drone-Tech (Multi-rotor event), X-treme Engineering

Technex, Indian Institute of Technology, (BHU)
Jul 2015 - May 2016
Location: Fukuoka Prefecture, Japan

I was the co-coordinator for Drone-tech, one of the events of Ascension at Technex. This event had the highest prize money of all the events at Technex. This event primarily tests the participants skills in drone making and flying. I, along with my team designed the problem statement for the event. We constructed the arena and organised the event which went on to become a grand success. Even now, the tradition of this event is continued and it remains the event with the highest stakes each year.

Coordinator, Publicity Team, Prastuti

Electrical Engineering Dept., Indian Institute of Technology, (BHU)
Jul 2015 - May 2016
Location: Varanasi, Uttar Pradesh, India

Prastuti is the annual departmental fest of the Department of Electrical engineering at IIT(BHU).

Contact

Location:

San Diego, United States