Summary
Overview
Work History
Education
Skills
Projects
Timeline
Generic

LEROY BITEU

Manhattan ,NY

Summary

Dynamic data scientist with a proven track record at NBCUniversal, leveraging Python and SQL to enhance churn prediction accuracy by 25%. Adept at delivering actionable insights through compelling visualizations and fostering cross-functional collaboration. Skilled in machine learning algorithms and statistical analysis, driving impactful business strategies.

Overview

2
2
years of professional experience

Work History

Intern

America on Tech
New York, USA
09.2022 - 05.2023
  • Successfully completed 80 hours of Advanced Web Development training, further enhancing proficiency in HTML, CSS, JavaScript, Repl.it, and Bootstrap
  • Participated in on intensive year-long internship program concentrated on Web Development and Advanced Web Development

NBCUniversal Data Science Fellowship

America on Tech
Manhattan, NY
09.2024 - 12.2024
  • Completed intensive Data Science & Machine Learning Fellowship at NBCUniversal, gaining expertise in Python, SQL, data visualization, and advanced ML techniques under industry professionals
  • Spearheaded telecom analytics project analyzing 10,000+ customer records, implementing sophisticated data preprocessing (log transformations, dummy coding) and feature engineering that improved churn prediction accuracy by 25%
  • Developed comprehensive ML solutions using Gradient Boosting, Linear Regression, and Random Forest models while optimizing performance through PCA dimensionality reduction and class imbalance correction
  • Delivered actionable business insights through compelling data visualizations and clear presentations to executive stakeholders, translating complex technical findings into strategic recommendations

UX Designer

St Luke's Lutheran Church
New York, USA
07.2023 - 08.2023
  • Created wireframes, user flows, prototypes and mockups to visualize design concepts.
  • Designed effective navigation structures that improved usability across multiple platforms.

Education

Bachelor of Science - Computer Science

Fordham University
Bronx, NY
05-2027

Skills

  • Python (pandas, scikit-learn, TensorFlow)
  • SQL & Database Management
  • Java & C
  • Machine Learning Algorithms
  • Data Visualization (Tableau, Power BI)
  • Statistical Analysis & Modeling
  • Git Version Control
  • AWS Cloud Services
  • Quantitative Problem Solving
  • Cross-Functional Collaboration

Projects

Blockchain Market Sentiment Analysis Platform Independent Project | Jan 2025 - Mar 2025

  • Engineered a blockchain market analysis tool combining Python and machine learning to track cryptocurrency sentiment and price correlations across major tokens
  • Built data ingestion pipeline collecting 50,000+ daily data points from blockchain explorers, exchange APIs, and social media platforms to identify market trends
  • Implemented natural language processing (NLP) algorithms to analyze social sentiment from Reddit, Twitter, and Discord, achieving 78% accuracy in predicting short-term price movements
  • Created interactive visualization dashboard displaying on-chain metrics, whale transactions, and liquidity flows to identify accumulation/distribution patterns
  • Developed smart contract monitoring system flagging suspicious transactions and protocol changes, providing early warning signals for potential market shifts
  • Optimized transaction analysis algorithms reducing computational overhead by 35% while maintaining real-time performance

Timeline

NBCUniversal Data Science Fellowship

America on Tech
09.2024 - 12.2024

UX Designer

St Luke's Lutheran Church
07.2023 - 08.2023

Intern

America on Tech
09.2022 - 05.2023

Bachelor of Science - Computer Science

Fordham University

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