Aditya Iyer

Aditya Iyer

MS Data Science @ UC San Diego

I'm currently a 1st year M.S. Data Science student at UC San Diego. I have a B.S. in Statistics & Data Science from UC Santa Barbara. I have hands-on experience in applied machine learning, financial modeling, and business intelligence through academic work and industry roles. I'm passionate about AI/ML research, specifically in areas like causal inference, agentic systems, and LLM interpretability.

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Experience

Allegiant Airlines

March 2025 – September 2025

Analyst, Financial Planning & Analysis

Las Vegas, NV

  • Developed financial models for flight hours, headcount, and crew pay to support budgeting and planning
  • Automated forecast workflows linking SQL + Python with Excel & made Streamlit dashboard for executives
  • Applied PCA & Gaussian Mixture Models to identify largest cost drivers across flight attendant bases
  • Improved forecast accuracy from 25% to within 1% monthly, driving over $5M+ in annual cost savings
MLOps Streamlit MS SQL Server scikit-learn

UC Irvine

June 2024 – August 2024

Research Assistant

Irvine, CA

  • Analyzed survey data to assess impact of internal displacement on depression in Ukrainian men
  • Applied mixed-effects regression models and multiple imputation in R to study displacement effect sizes
  • Incorporated social network analysis to address sampling biases; presenting findings at USPROC competition
R Tidyverse/Tidymodels MICE Social Network Analysis Mixed-Effects Modeling

FirstHive

August 2023 – June 2024

Backend Developer Intern

Remote / Cupertino, CA

  • Reduced query load time by optimizing database-website functionality using Django and MySQL
  • Redesigned UI/UX across web pages, simplifying navigation and improving user engagement
  • Developed predictive algorithms to analyze user churn and retention rates, delivering insights for business strategy
Django MySQL REST APIs Predictive Analytics ORM Optimization Churn/Retention Analysis

Korrus, Inc.

June 2021 – July 2023

Finance & Business Intelligence Intern

Los Angeles, CA

  • Conducted financial data analysis and sales forecasting using SQL and Sisense
  • Supported NetSuite and HubSpot integration for data management and customer operations
  • Created financial reports to track inventory, transactions, and product lifecycle inefficiencies
SQL Sisense NetSuite HubSpot Financial Analysis Data Management

Education

UC San Diego

2025–2026

M.S., Data Science

AI/ML:

Recommender Systems, Efficient AI Systems, Machine Learning

Statistical Modeling:

High-Dimensional Probability & Statistics, Statistical Models, Stochastic Optimization, Sequential Decision Making

Mathematics:

Numerical Linear Algebra

UC Santa Barbara

2022–2025

B.S., Statistics & Data Science

AI/ML:

Statistical Machine Learning, Statistical Data Science, Big Data Analytics

Statistical Modeling:

Probability & Statistics, SAS Programming, Stochastic Processes, Experiment Design, Regression Analysis, Advanced Statistical Modeling, Non-parametric Modeling, Survival Analysis

Mathematics:

Linear Algebra w/ Applications, Vector Calculus, Differential Equations

Featured Projects

Hallucination-Resistant Finance RAG

September 2025 – Present

A robust Retrieval-Augmented Generation system designed for financial applications, with built-in mechanisms to prevent AI hallucinations and ensure accuracy.

LangChain RAG Hugging Face Hybrid Search

OSWorld Agent

September 2025 – Present

An intelligent agent system for operating system interactions, leveraging advanced AI techniques to navigate and manipulate complex computing environments.

Agentic AI AWS LangChain

Allegiant FP&A Mixed-Effects Modeling

March 2025 – September 2025

Advanced statistical modeling for financial planning and analysis, using unsupervised learning to optimize flight attendant scheduling and resource allocation.

Python SQL PCA Clustering Business Intelligence

Metalog SIP Python Library

January 2025 – June 2025

A comprehensive Python library for metalog distributions and statistical inference, providing flexible tools for data analysis and modeling.

Python OpenAI API Stochastic Data Modeling

UCI Mental Health Mixed-Effects Research

June 2024 – August 2024

Research project applying mixed-effects modeling to mental health data, exploring patterns and relationships in longitudinal mental health outcomes.

R Mixed-Effects Models Public Health Research Social Network Analysis

NLP for Sarcasm Detection

January 2024 – March 2025

Built an NLP pipeline for sarcasm detection using pre-trained GloVe embeddings and Bi-Directional LSTM, achieving 98.6% accuracy on a 28,000+ headline dataset.

NLP LSTM GloVe Word2Vec

Skills

Languages

Python Python R R SQL SQL JavaScript JavaScript Java Java HTML/CSS HTML/CSS Bash Bash

AI / Machine Learning

PyTorch PyTorch TensorFlow TensorFlow scikit-learn scikit-learn Hugging Face Hugging Face LangChain LangChain

Databases

PostgreSQL PostgreSQL MySQL MySQL MS SQL Server MS SQL Server ChromaDB ChromaDB Supabase Supabase Sisense Sisense Oracle DB Oracle DB

Tools & Technologies

Git Git Docker Docker AWS AWS Streamlit Streamlit Spark Spark Databricks Databricks Selenium Selenium BeautifulSoup BeautifulSoup PowerBI PowerBI Tableau Tableau NetSuite NetSuite HubSpot HubSpot Django Django

Specializations

Applied Machine Learning RAG Systems Statistical Modeling & Inference

Get in Touch

I'm always open to discussing new opportunities, collaborations, or just having a conversation about data science, machine learning, and AI. Feel free to reach out through any of the channels below.

Email Me Connect on LinkedIn View on GitHub

Resume

Download a PDF copy of my resume or view it inline below.