An applied scientist with an engineering PhD, passionate about cutting-edge data science applications and actively seeking innovative technologies that will shape the future.
Programming Languages: Python, SQL, Shell Scripting, MATLAB, R
Python Libraries & Frameworks: NumPy, Pandas, SciPy, Scikit-learn, TensorFlow, PyTorch, Matplotlib, Seaborn
Artificial Intelligence: Machine Learning, Deep Learning, Computer Vision
Analytics & Data Science Workflow: A/B Testing, Survival Analysis, Data Science Pipeline (Data Cleaning, Exploratory Data Analysis, Modeling, Interpretation)
Statistical & Time Series Analysis: Hypothesis Testing, Principal Component Analysis (PCA), t-tests, ANOVA, Forecasting with Long Short-Term Memory (LSTM) networks
Cloud & Big Data Platforms: AWS SageMaker, Databricks, Treasure Data, Snowflake
Generative AI (Learning Phase): Retrieval-Augmented Generation (RAG)
Additional Tools & Skills: Data Visualization, API Integration, Version Control (Git), Docker, CI/CD Pipelines, MLOps
Ph.D., Mechanical Engineering | Michigan State University |
M.S., Mechanical Engineering | Wayne State University |