Aditya Chavan

I'm Aditya, a dedicated MS in Analytics student at the University of Southern California (Class of 2024) with a passion for data analysis and machine learning. My diverse background includes serving as a TA for Data Analytics projects, applying Deep Learning to develop an NLP model for a research paper, and contributing as a founding team member at Cricinshots, where I handled all data-related tasks during my internship.

Data Scientist Intern                                                                                                                                       May 2023-September 2023

USC Viterbi iPodia Program                                                                                                                                                Los Angeles, CA

• Established a statistical correlation between academic performance and student participation in Computer Supported Collaborative Learning (CSCL) environment using statistical analysis techniques.
• Compared traditional ML methods (KNN, RF, SVM) with deep learning (CNN, LSTM) and fine-tuned BERT Model (70.69% accuracy).
• Utilized Pandas, spaCy, scikit-learn, Keras-TensorFlow, and transformer libraries for data preprocessing and ML modelling.
• Authored a research paper Automated classification of student-generated questions to facilitate CSCL. (In Review)                                                                                                             

Data Scientist Intern - Founding Team                                                                                                        December 2021-June 2022

Cricinshots                                                                                                                                                                             Pune, India

• Developed a relational database for a Web3 mobile app, handling over 20k+ users and 1000+ properties while improving data retrieval.
• Built an efficient ETL pipeline using Airflow to smoothly handle and ingest external unstructured data into MySQL DB.
• Conducted AB testing to see how users reacted to different features.
• Queried database to analyze and report engagement metrics to investors using tableau dashboards.

University of Southern California      Los Angeles, CA

Master of Science, Analytics (Data Science)      August 2022-May 2024                                                

Coursework: Statistics, Predictive Analytics, Business Intelligence, NLP, Financial Analytics, Fraud Analytics

Graduate Teaching Assistant (Data Analytics Consulting): Data Modeling, Business Intelligence