Aaryan Bohra

Professional Summary

Detail-driven and enthusiastic Data Science undergraduate with hands-on experience in analyzing data, building machine learning models, and creating impactful visualizations. Proficient in Python, SQL, and R, with a solid background in data manipulation and statistical modeling.

Work Experience

Marketing Analytics Intern - Alcatel Lucent Enterprise

Feb 2023 – Present

Utilized Oracle BI and SQL to analyze performance data from 50+ marketing campaigns, delivering insights that shaped data-driven strategies.
Built real-time dashboards in Tableau and Excel, reducing reporting time by 30% and enhancing visibility for key stakeholders.
Supported marketing initiatives through data preparation and analysis using Python, streamlining campaign evaluation workflows.

Accounting/IT Intern - Garry A. Jones & Associates

Mar 2021 – Sep 2021

Prepared financial reports and 50+ tax returns for individuals and businesses, ensuring compliance and accuracy.
Created Excel reports with charts, formulas, and pivot tables, enhancing business decision-making by 15%.
Provided IT support to improve operational efficiency for a team of 5-10 accountants.

Education

University of California, Riverside

B.S. in Data Science - June 2025

Projects

YouTube Video Topic Classifier using Mistral LLM and Google API
- Streamlit app that predicts video categories using metadata and transcripts
- Powered by Mistral LLM and YouTube Data API for real-time inference
Image Denoiser Model using PyTorch
- Trained PCA and U-Net models to remove noise from CIFAR-10 dog images
- Implemented and tested on GPU with PyTorch for faster training
Traffic Stops Data Analysis using PySpark
- Built a scalable ETL pipeline to clean and analyze multi-state traffic stop data
- Created an interactive dashboard to explore racial and regional patterns in policing
Academic Success Analysis using Machine Learning
- Explored student demographics and performance data to uncover patterns
- Built a Random Forest model to predict likelihood of academic success
Used Car Price Prediction (Kaggle challenge using regression models)
- Explored car price data with EDA and feature correlation analysis
- Trained regression models to predict prices based on mileage and year

Technical Skills

Languages & Programming: Python, R, SQL, C++
Cloud & ML Platforms: Amazon SageMaker, AWS S3, IBM Watsonx
Machine Learning & Data Science: Scikit-Learn, TensorFlow, PyTorch, Pandas, NumPy, PySpark, Feature Engineering, Model Deployment, Explainable AI (SHAP, IBM OpenScale)
Data Analysis & Visualization: Exploratory Data Analysis (EDA), Data Cleaning, Matplotlib, Seaborn, Power BI, Excel
Business & Analytics Tools: Oracle Business Intelligence, Salesforce, Marketing Analytics, Financial Analysis, Data Reporting