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EricaYanoshak/README.md

Hi, Iโ€™m Erica

๐ŸŽ“ Boston University โ€“ M.S. in Data Science (In Progress)
๐Ÿ“Š AI-Certified Consultant | Marketing โ†’ Data Science Transition
๐Ÿ’ก Passionate about bridging strategy, AI, and data science to create real-world impact.


Technical Skills

Python SQL Pandas NumPy Scikit-learn TensorFlow Keras Plotly Matplotlib Jupyter Google Colab VS Code Git GitHub


Featured Projects

๐Ÿ”ญ Decoding UFO Sightings
Analyzed 80k+ records of UFO sightings, built predictive models with Prophet, and created geovisualizations using Plotly Dash.

๐Ÿ›’ AI Purchase Behavior Prediction
Machine learning models predicting customer purchase behavior with feature importance analysis.

๐Ÿ’น Crypto Clustering
Applied K-means and PCA to group cryptocurrencies by profitability and volatility.

๐Ÿ“Š Athletic Sales Analysis
Explored retail sales data with Pandas (joins, groupby, pivot tables) for business insights.

๐Ÿง  Neural Network Challenge
Deep learning model predicting student loan repayment likelihood using neural networks.


Education

๐ŸŽ“ Boston University โ€“ M.S. in Data Science (In Progress)
๐ŸŽ“ University of Pennsylvania โ€“ AI & Machine Learning Certification (2024)
๐ŸŽ“ Johns Hopkins University โ€“ M.A. in Digital Communications
๐ŸŽ“ Penn State University โ€“ B.A. in Psychology


๐ŸŒŸ Currently Exploring

  • Advanced Machine Learning & Deep Learning
  • Data Visualization & storytelling with data
  • Applying AI in marketing, education, and social impact
  • Building my professional portfolio as a data scientist in transition

๐Ÿ“ซ Letโ€™s Connect

LinkedIn
Portfolio
GitHub


โœจ Always learning, always building โ€” where strategy meets data science.

Pinned Loading

  1. Decoding-UFO-Sightings Decoding-UFO-Sightings Public

    This project analyzed documented UFO sightings by examining trends, identifying active states, categorizing sightings, and mapping patterns across the U.S. Predictive modeling then forecasted sightโ€ฆ

    Jupyter Notebook

  2. AI-Purchase-Behavior-Project AI-Purchase-Behavior-Project Public

    This project focuses on predicting customer purchase behavior using machine learning models, with an emphasis on feature importance.

    HTML

  3. CryptoClustering CryptoClustering Public

    This project utilized the K-means algorithm and Principal Component Analysis (PCA) to group cryptocurrencies based on profitability and price fluctuations over various timeframes. By optimizing cluโ€ฆ

    Jupyter Notebook

  4. ai-case-study ai-case-study Public

    Jasper.AI leverages GPT-3 to provide customized content creation tools tailored to brand-specific voices, addressing the high demand for scalable, consistent marketing content. With a 30% market shโ€ฆ

  5. athletic_sales_analysis athletic_sales_analysis Public

    Analyzed athletic sales data using Pandas, employing techniques like concatenation, joins, groupby, and pivot tables to identify top-performing regions, retailers, and product categories. The projeโ€ฆ

    Jupyter Notebook

  6. neural-network-challenge-1 neural-network-challenge-1 Public

    A deep neural network model was developed to predict student loan repayment likelihood, leveraging borrower features to improve interest rate accuracy and repayment success. The project involved prโ€ฆ

    Jupyter Notebook