Data Science Software Developer

Romir Kant

San Diego, CA LinkedIn 510-***-**** **.*****@*****.***

EDUCATION:

University of California, San Diego (Sept 2022 – Present) Bachelor of Science in Mathematics-Computer Science (GPA – 3.85), Minor in Cognitive Science (GPA – 4.0) TECHNICAL SKILLS:

Python, C/C++, Java, MySQL, Oracle, MongoDB (Databases), HTML, JavaScript, jQuery, Node.js, React.js (Websites), Talend, AbInitio, Sitecore, R Studio, GitHub, Large Language Models (Software), OpenCV, TensorFlow, TFLite, PyTorch, Pandas, SKLearn, MXNet, NumPy (Libraries), NLP, Cross-Validation, CNN, RNN, LSTM, Diffusion Models, GNNs, HuggingFace, LightGBM, XGBoost (ML), Amazon AWS, Google Cloud, Microsoft Azure (Cloud Computing) WORK EXPERIENCE:

Research Assistant Intern, University of Southern California (May 2024 - Aug 2024)

● Led a large-scale Data Science project under USC professor Matteo Sesia on applying various statistical learning techniques to predict the stock market. Focused on generating prediction intervals for time-series data to assess the accuracy and confidence levels of predictive models on stocks. Software Developer Intern, STEM-Away (June 2023 - Sept 2023)

● Built and designed a Code Explanation Engine web application: Integrated OpenAI with Serverless AWS Architecture, API Gateway and AWS Lambda function and front end React application, and generated response using GPT API

● Utilized AWS Lambda for backend development, creating an output generated by OpenAI, POST requests, and S3 bucket for data storage, static website hosting, and file control RELEVANT PROJECTS AND CLUBS:

Quantum Computing at UC San Diego (QCSD)

● Programmed a Quantum Computer with Qiskit - IBM SDK

● Organized Quantum Computing hackathons

Data Science Community at UC San Diego (DS3)

● Optimized predictive models using Newton's method, backtracking line search, and momentum-based gradient descent, analyzing convergence rates and convexity in finding minima. Implemented SVM margins for classification and linear regression on a finance dataset with Python libraries like pandas, numpy, matplotlib, and SKLearn.

Association for Computing Machinery, ACM at UC San Diego

● Built a Generative AI chatbot with Amazon Lex, Langchain, and SageMaker Jumpstart

● Built application for safe image generation and diffusion models with Amazon AI services - Amazon Rekognition and Amazon Comprehend to accurately detect and identify unsafe or inappropriate content across text, image and video assets

Independent Projects/Certifications:

•Certified Building AI powered Chatbots (IBM certified Coursera)

•Python for Data Science and AI (Coursera Certification)

•Coursera Certified: IBM Applied AI Professional Certificate Program

•Industrial IoT certification on Google Cloud Platform

•Participant - Cybersecurity Computing Hackathons run by National Youth Cyber Defense Competition

•Researcher - Mathematical Scholars Research Program, Cal State East Bay Achievements/Awards:

● UC San Diego, Marshall College Honors Program Award

● HKN Kappa Psi Honor Society Nomination – Awarded to top 1/3 students in department

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