Raunaq Dhiman

1. Capstone Project with UIC Baseball:

• Led UIC Baseball analytics, analyzing 10,000+ data points, using regression and machine learning to boost pitcher prediction accuracy by 15%.
• Utilized correlation analysis to enhance hitters' training, increasing Weighted On Base Percentage by 20%.
• Identified strategic adjustments via outlier analysis, reducing opponent batting average by 10%.
• Introduced outlier detection methods, refining team strategy and contributing to a 25% surge in team efficiency.

2. Capstone Engineering Project: Stock Market Prediction Using Deep Learning 

• Engineered a deep learning-based stock prediction model, integrating sentiment analysis for enhanced accuracy.
• Evaluated six machine learning algorithms for sentiment analysis, selecting the most effective one with 93% accuracy.
• Developed and refined a stock market prediction framework using sentiment analysis and deep learning techniques.
  

3. Statistical Analysis of Workplace Health During Covid-19

• Conducted a comprehensive chi-square analysis to assess 12 key health parameters during the Covid-19 pandemic.
• Performed over four statistical tests using Microsoft Excel to analyze workplace health data.
  Utilized Google Colab and Tableau for data visualization, effectively presenting statistical insights.
  

• Analytical Proficiency: Statistical Analysis, Forecasting and Planning, Root Cause Analysis, Process Optimization, Competitor Analysis.
• Business Acumen: Business Case Development, Requirement Prioritization, Process Modeling, Project Management.
• Technical Skills: Dashboard Creation (Tableau), Microsoft Office Suite.
• Certifications: Yale University Financial Markets, Wharton Online - ESG Risks and opportunities , ESG and climate change, ESG Impact: Investor Perspective

• Senior Volunteer at Teach for India, a nonprofit organization aiming and educating children from underprivileged background
• VP: Product management and sustainability club
• MPSTME sustainability club 2018-2022