Data Scientist | Self-Taught | Faculty Collaborator in Statistical Analysis | Trader Using Self-Made Ensemble Predictive Models
As a self-taught data scientist, I specialize in statistical analysis and predictive modeling using R programming. I have collaborated with faculty members during their PhD studies, contributing to research through statistical insights. In addition to my academic work, I actively trade in the financial markets, employing self-made ensemble predictive models to inform my trading strategies. My expertise includes:
- Key abilities
- R Programming
- Machine Learning
- Statistical Analysis
- Related abilities
- SQL (R Integration)
- Data Visualization (ggplot2, plotly, shiny)
- Data Cleaning and Preparation
- Advanced Excel
- Predictive Modeling
- Statistical Modeling
- Ensemble Modeling
- Neural Networks
- Developing Predictive Models Using Base R Functions
- Mathematical Modeling
- Time-Series Analysis
- Data Mining
- Experimental Design
- Business Intelligence
- Market Research Analysis
- Financial Analysis
- Healthcare Analytics
- Social Science Research
- Supply Chain Analytics
- Customer Analytics
I am passionate about leveraging data to drive insights and am eager to contribute to impactful projects.