Aaryan Bohra

Data Analytics

I transform complex data into actionable insights and build intelligent machine learning systems. Combining analytical expertise with engineering skills to deliver end-to-end solutions—from exploratory analysis to production-ready ML models.

Aaryan Bohra

About Me

Data Analytics professional with hands-on experience turning raw data into business value and actionable insights. At Alcatel Lucent Enterprise, I analyze marketing performance and build dashboards that drive strategic decisions. My technical work spans machine learning models, data visualization, and scalable pipelines with Python, SQL, and cloud technologies. I specialize in uncovering patterns in data and communicating insights that solve real business problems.

Experience

Marketing Analytics Intern

Alcatel Lucent Enterprise

Feb 2023 – Present

  • Analyzed 50+ marketing campaigns using Oracle BI and SQL, delivering data-driven strategy insights
  • Built real-time dashboards in Tableau reducing reporting time by 30%
  • Automated campaign evaluation workflows using Python, streamlining marketing operations

Accounting/IT Intern

Garry A. Jones & Associates

Mar 2021 – Sep 2021

  • Prepared 50+ tax returns and financial reports with 100% accuracy
  • Created advanced Excel reports with pivot tables improving decision-making by 15%
  • Provided IT infrastructure support for accounting team of 5-10 professionals

Education

Bachelor of Science in Data Science

University of California, Riverside

Graduation: June 2025

  • Focused on machine learning, statistical modeling, and data engineering
  • Relevant coursework: Deep Learning, Big Data Analytics, Algorithm Design, Database Systems
  • Applied data science skills through hands-on projects and internships

Featured Projects

YouTube Video Classifier

Streamlit application powered by Mistral LLM that predicts video categories using metadata and transcripts with Google API integration.

View Project →

Image Denoiser with PyTorch

Trained PCA and U-Net models on GPU to remove noise from CIFAR-10 images, achieving significant quality improvements.

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Traffic Stops Analysis

Built scalable ETL pipeline with PySpark to analyze multi-state traffic data, creating interactive dashboard for pattern exploration.

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Academic Success Predictor

Random Forest model analyzing student demographics and performance to predict academic outcomes with high accuracy.

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Car Price Prediction

Kaggle challenge solution using regression models with extensive EDA and feature engineering to predict used car prices.

View Project →

Technical Skills

Languages & Core

  • Python
  • R
  • SQL
  • C++

ML & AI

  • PyTorch & TensorFlow
  • Scikit-Learn
  • PySpark
  • Amazon SageMaker

Data Engineering

  • AWS S3
  • ETL Pipelines
  • Feature Engineering
  • Model Deployment

Analytics & Viz

  • Tableau & Power BI
  • Oracle BI
  • Pandas & NumPy
  • Matplotlib & Seaborn

Certifications

IBM Data Engineering

IBM Data Engineering Professional Certificate (In Progress)

IBM ML Python

IBM Machine Learning with Python

IBM Watsonx

IBM Watsonx Technical Essentials

Google Analytics

Google Analytics Certification