Predicting Compressive Strength in Concrete
Utilizing both XGBoost and Deep Learning to create a beginning to end solution.
About me
I am a Data Scientist passionate about solving complex problems and delivering impactful solutions, with proven experience in Fortune 500 companies. My expertise spans advanced machine learning, statistical modeling, and big data processing, including distributed computing with Apache Spark.
I collaborate closely with stakeholders to gather requirements, ensuring the solutions I develop align with business needs. My work often involves creating end-to-end data workflows and demoing solutions across diverse business functions to showcase their value and effectiveness.
I am proficient in Python, R, and SQL, with experience in frameworks like TensorFlow, Scikit-learn, and PyTorch for predictive modeling, and I leverage visualization tools like Tableau and Power BI to communicate insights effectively. Complementing my core data science skills, I have exposure to backend development, MLOps, and cloud infrastructure, enabling me to deliver scalable and reliable solutions.
Thank you for visiting my website. I look forward to sharing my work and exploring how I can help you achieve your data and technology goals.
Featured Work
Marketing Analysis of Airbnb in New York City
Finding key insights with SSRS and Tableau about the NYC Airbnb market.
Sentiment Analysis on Healthcare Reviews
Webscrape and transform healthcare data for sentiment analysis.
Movie Theater Database Design
Creation, design, and analysis of a movie theater database using SSMS and MySQL.
Transformation and Analysis of the Google Play Store
Extract, transform, and load big data into a databricks environment.
Tuning Deep Learning Made Easy
Deep dive on the process for creating a tuner for neural networks using Bayesian Optimization.