Shalon Walter

Strategic Data Science Professional adept at harnessing and interpreting complex data to drive decision-making and innovation. Showcasing a robust portfolio in developing, optimizing, and deploying machine learning models, and facilitating data analytics from conception to application. Proficient in collaborating across teams and communicating data-driven narratives effectively. Seeking a data-centric role to leverage analytical skills and drive organizational development through informed, strategic directions.

• Google Data Analytics Professional Certificate, Google - December, 2023
• Experience Training Program in Python, TCS - July, 2021
• Machine Learning, Stanford University - September, 2020
• Python Programming Masterclass, Udemy - May, 2020
• Neural Networks Using MATLAB Training Program - July, 2018

Capstone: Transformative AI for Residential and Transportation Safety (Vertically Integrated Project):

• Currently involved in a project aimed at improving safety in vehicles and smart homes using machine learning and telematics.
• Collaborating with experts to develop systems that analyze behavior and enhance safety measures, with responsibilities including data integration, machine learning modeling, and prototype development to promote safer living and driving environments.

Interactive World Happiness Report Visualization:

• Led a project focused on developing an interactive Shiny application to simplify and visualize the complex data from the world happiness report from the years 2015 to 2023.

Weather Forecast Analysis:

• Analyzed accuracy in 167 U.S. cities' weather forecasts using R.
• Explored spatial/seasonal temperature prediction errors with interactive visualizations.

Sentiment Analysis of Reviews:

• Constructed a model utilizing NLP and ML algorithms for sentiment classification.
• Applied TF-IDF, Word Embeddings, and ensured model accuracy through thorough evaluations.

Energy Consumption Forecasting:

• Predicted and optimized building energy usage through ML models, focusing on sustainable management.
• Used a dataset from 1000 buildings over three years to minimize emissions via HVAC system analysis.

Academic Intervention Strategy:

• Developed ML models to predict college student outcomes from a dataset of first-year student records.
• Aided in formulating early intervention strategies to enhance graduation outcomes.

Horticultural Price Forecasting:

• Conducted neural network and time-series analyses for predicting horticultural product prices.
• Managed data collection from Kaggle and warehousing using SQL.