

• Data preparation, feature engineering, build, validate and tune production-level ML models.
• Apply ML flow for efficient model deployment and management.
• Conducted NLP analysis on unstructured data, enhancing data extraction efficiency.
• Provided advanced analytics solutions to business problems to increase operational efficiency.
• Performed data wrangling and exploratory analysis, leading to a significant increase in model prediction accuracy.
• Performed credit risk analysis on student loan applications.
• Applied predictive modeling to forecast business factors, improving forecast accuracy by applying advanced time series techniques.
• Utilized Tableau for data visualization, enhancing data interpretation and decision-making.
• Conducted comprehensive data analysis using R, Python, and SQL for both synthetic and real- world data.
• Applied machine learning techniques for model building and improvement of model performance.
• Taught math and statistics courses, receiving 95% positive feedback from students.
• Conducted special problem-solving sessions, leading to significant improvement in student problem-solving skills.
• Designed research questionnaires, improving data collection efficiency.
• Analyzed and cleaned data, leading to a significant reduction in data processing time.
• Improved data quality by implementing rigorous data cleaning processes.
• Analyzed data and prepared presentations, enhancing project understanding and stakeholder engagement.