Data Scientist/AI Engineer

RAGHAV KAPOOR

Linkedin ********@***.*** GitHub

EDUCATION

Arizona State University Tempe, AZ

Masters of Science in Computer Science Dec 2024

● GPA : 3.89/4.00

● Relevant Coursework : Data Mining, Digital Video Processing, Fundamentals of Statistical Learning and Pattern Recognition, Data Visualisation, Statistical Learning Theory, Algorithms in Computational Biology

● NAmU Grad & Sun Devil State Award Scholarship Awardee ($7500) Guru Gobind Singh Indraprastha University Delhi, India Bachelor of Technology in Computer Science and Engineering July 2023

● GPA : 8.86/10

● Positions of Responsibility : General Secretary - IEEE GBPEC, Team Manager - Spirit of Youth Foundation NGO

EXPERIENCE

Research Assistant May 2024 - Present

Neurorobotics Lab @ Arizona State University Tempe, AZ

● Validated OpenCap dual camera setup against state-of-the-art MoCap technology for capturing kinematic with a MSE of 2.43

● Designed and executed experiments to collect data for 20 gymnasium movements with multiple subjects

● Accumulating a novel dataset to advance research and train a LSTM classifier aiming to replace traditional MoCap systems

Data Science Intern May 2024 - Jul 2024

SkilloVilla Bengaluru, India

● Collaborated with sales team to fix harmful campaigns, boosting onboarding rates by 12% & revenue by $14,000 in a month

● Developed tailored difficulty assessments by skill level, reducing churn and boosting course completion rates by 23%

● Introduced ChatGPT-powered "TutotBot" feature in assessments, guiding students without direct solutions

● Designed and executed A/B tests for the above feature, boosting student engagement by 18% and assessment scores by 15%

Data Science Intern Apr 2022 - Aug 2023

EzoHire Gurgaon, India

● Utilized Pytorch to implement Stable Diffusion techniques to develop a video interview bot synthesizing speech, classifying emotions, detecting body language, analyzing answers, and generating comprehensive interview reports

● Created a micro gesture detection system, reading 468 facial, 21 hand, and 33 pose coordinates using MediaPipe, producing a 140k-row dataset, and training ML models for body language classification of 22 different gestures

● Designed a market aggregator tool by scraping data from 9+ websites using Selenium, creating a 100k-row candidate dataset, and building a PowerBI dashboard with 7 comparative visualizations for insightful analysis

Data Analysis Research Intern Jan 2020 - Aug 2020

Chartr, Indraprastha Institute of Information Technology Delhi, India

● Undertook under Dr. Pravesh Biyani to enhance city's transportation system and lowering personal vehicle use

● Integrated data from 606 local buses and last-mile services with goal of mitigating traffic congestion and reducing pollution

● Conducted market research, collected 2000 data entries on ground, and automated cleansing of DTC bus route data

PROJECTS

Glove powered NLP Classifier(Link) Mar 2024 - Apr 2024

ASU, CSE572 : Data Mining Tempe, AZ

● Designed News classifier Neural Network with Keras, achieving 100% training and 91% validation accuracy

● Used tokenization on text and sequence, padding with 100-dimensional GloVe embeddings to classify articles in 5 categories

● Executed parameter tuning by trying 7 distinct learning rates and employing 3 different optimizers

● Resulting in fine-tuned models with 5 fold cross verified accuracy, loss, and standard deviation metric

Automated Airflow ETL Pipeline(Link) Feb 2024 - Mar 2024

Self Tempe, AZ

● Engineered end-to-end automated Google Cloud Platform pipelines using Apache Airflow for processing cricket statistics

● Scripted Python tools to extract Cricbuzz cricket data, securely storing it in Google Cloud Storage

● Constructed Cloud Functions to orchestrate Dataflows for daily loads of new data to BigQuery table

Face & Information Content Detection for Automated Blurring(Link) Aug 2023 - Dec 2023

ASU, CSE509 : Digital Video Processing Tempe, AZ

● Curated a Video Processing system, to remove 2 types of sensitive biometric data: Text and Faces from videos

● Utilized VGG16 model architecture for Character Detection and a ResNet-10 model in OpenCV for Face Detection

● Filled up missing frames using Kalman Filters and finally blurred all detected data using Gaussian Blur

TECHNOLOGY SKILLS

Languages: Python, SQL, C++

Others: Google Cloud Console, AWS, Tensorflow, PyTorch, Scikit-Learn, Flask, PowerBI, Linux, Git, Apache Airflow

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