Machine Learning & Statistical Modeling


Aspiring Data Scientist with strong academic training in statistics, machine learning, and data analytics. Experienced in building data-driven solutions including fraud detection systems, recommendation engines, and sales analytics tools. Proficient in Python, R, SQL, and BI tools, with a focus on delivering actionable insights and supporting data-driven decision-making.
Data analysis with Python and SQL
Data modeling techniques: Random Forest, Logistic Regression, K-Means and model selection with sentiment analysis
Natural language processing and Machine learning expertise
Data visualization expertise and Predictive Modeling
MySQL database management and Feature engineering
Problem-solving aptitude
Cross-validation and Anomaly detection
Data analytics and Data-driven decision making
Time series analysis
Statistical analysis
Business understanding
Big data analytics
Machine Learning & Statistical Modeling
Business Intelligence & Data Visualization
Automation of Data Pipelines and Analytical Workflows
Continuous Professional Development (AI research, emerging technologies)