A seasoned Data Scientist with a track record of driving impactful Data Science and automation projects. My expertise spans FP&A and Data Analytics. As a trusted business partner, I've successfully led projects from automating manual processes to creating intuitive and dynamic dashboards. My skills are a unique blend of technical prowess and a passion for making a positive impact.
- Played a pivotal role in delivering essential analytics crucial for the formulation of the Annual Price Increase strategy
- Spearheaded the Annual Price Increase automation project, streamlining the generation of 1000+ rate cards saving 6 days of manual effort. (Python, NLP, VBA Macros)
- Conducted customer Attrition analysis, quantifying the Revenue Impact of Attrition, segmenting data by Product and Customer Profiles, and performing root cause analysis. (Advanced Excel, SAP, Hyperion, Python, PowerBI, Dataiku)
- Built a Revenue Bridge model to assess the effects of New Revenue, Price Increase, and Volume volatility. (Python, SAP, Hyperion, Dataiku)
- Led the transformation of Partner Revenue reporting from manual to an automated BI dashboard, providing deeper insights. (PowerBI, SAP, Python)
- Developed a revenue forecasting model, incorporating Invoiced, Deferred, and Catchup revenue streams. (Hyperion, SAP, Python, MS Access)
- Examined the Market's influence on revenue through macro-level analysis incorporating factors of Fannie Mortgage Market rates, and interest rates. (Python, Dataiku, PowerBI)
- Designed a comprehensive HC (Headcount) dashboard utilized directly by CFO and VPs for active, open, and terminated HC tracking, enhancing resource planning. (Dataiku, Python, PowerBI, Workday, Hyperion)
- Conducted a thorough analysis of T&E (Travel and Entertainment) discretionary spending and tracked utilization against budget, assisting leadership in making informed spending decisions. (PowerBI, Hyperion)
- Created a Cost-per-unit analysis, categorizing it by locations and teams, enabling potential cost-saving opportunities and enhanced resource planning. (PowerBI, Excel)
- Executed a cost impact analysis for volume migrations between teams and vendors. (PowerBI, Excel)
- Automated Operations volume reporting, saving over 10 hours of manual work. (PowerBI, Excel)
- Automated vendor cost analysis, improving efficiency and enabling accurate vendor cost metrics during Month-end close and Budget cycles. (NLP, Python, PowerBI)
- Driving a business-critical sales forecasting project, developing a more scientific methodology using statistical models for accurate sales forecasting and comprehensive pipeline analytics. (Statistical modeling, Python, SQL, Dataiku, Time-series forecasting, PowerBI, Salesforce)
CGPA: 8.23
Specialization: Business Analytics
Activities:
Programming:
undefinedBusiness Analysis
Statistical Analysis
Data Visualization
Executive Communication
Critical Thinking
Problem Solving
Stakeholder Management
Private Equity and Venture Capital (Università Bocconi)
Agile Meets Design Thinking (University of Virginia)
Advanced Competitive Strategy(Ludwig-Maximilians-Universität München)
Excel For Business Specialization (Macquaire University)
International Leadership And Organizational Behavior (Università Bocconi)
Data Analysis using Python (IBM)
Business Strategy (University of Illinois)
Finance for Everyone: Markets (McMaster University)
LinkedIn Learning
Udemy