Summary
Mohammad Awais is a data analytics and finance professional with 8 years of cross-industry experience, currently applying advanced analytics to M&A decision-making as an Associate in PwC Deutschland’s Deal Analytics (VMA) team in Munich. He blends financial modeling and valuation expertise with hands-on data engineering and statistical modeling using Python, SQL, Power BI, Excel and Alteryx to improve valuation accuracy and value creation. Previously he led analytics-driven transformation at HBL—designing KPI frameworks for 1,700+ branches and automating workflows that saved 15 hours monthly—and built financial models and toll-data analytics that cut pilferage by 40% at Frontier Works Organization. An EDHEC MSc graduate (Top 10%, Dean’s List), he specializes in decision science, M&A analytics and bridging business strategy with practical data solutions. He is equally comfortable negotiating transaction structures with banks as he is shipping reproducible Python analyses, reflecting a rare mix of commercial judgment and technical delivery.
8 years of coding experience
Bachelor of Science - BS, Accounting and Finance, Cumulative GPA - 3.53, Bachelor of Science - BS, Accounting and Finance, Cumulative GPA - 3.53 at Institute of Business Administration
MSc in Data Analytics & Artificial Intelligence, MSc in Data Analytics & Artificial Intelligence at EDHEC Business School
English, Urdu, Hindi, Punjabi, German, French