Technical Skills
- Programming: Python (NumPy, Pandas, scikit-learn, PyTorch), R (tidyverse, caret, lme4), SQL, Scala, Spark
- Data Science & Statistics: Machine Learning, Statistical Learning, Experimental Design, Time Series, Mathematical Modeling
- Data Tools & Visualization: GitHub, Excel, Google Sheets, Matplotlib, ggplot2, seaborn, Tableau, Power BI
- Productivity Software: Microsoft Word, Google Docs, Google Slides, Jupyter Notebook, Slack, Microsoft Teams, Zoom
- Web/Other: Markdown, LaTeX, HTML, Jupyter, Visual Studio Code, IntelliJ
Soft Skills
- Strong communication (technical writing & presentations)
- Collaboration in research & industry projects
- Problem solving with mathematical rigor
- Effective time management and prioritization
- Highly organized and detail-oriented
Currently Learning
- Fundamentals of Neural Networks and Deep Learning
- Data-Driven Modeling
- Time Series
