Syed Mubashir Imam

• Partnered with the Managing Director to design multiple Power Automation workflows, reducing weekly workload by 5 hours. • Extracted and analyzed Salesforce data to develop Power BI dashboards, enabling the CEO to monitor the business development team's performance and optimize sales pipeline efficiency by 20% through data-driven KPIs. • Conducted risk analysis using regression and logistic modeling, providing ad-hoc insights and support to the financial advisors.

• Pulled data from Amazon Redshift using advanced SQL and Power BI for data visualization to identify fraudulent claims, anomalies, claim trends, seasonal patterns, and demographics for data-driven decision-making. • Developed a Sankey diagram to illustrate real-time claims’ approval flow to assess and visualize the model’s accuracy in auto-adjudication for continuous model improvement increasing accuracy from 88% to 91%.

• Applied Association Mining algorithm using SQL Server data to optimize production plant capacity and correlate white labeling and branding of drugs with utilities, assessing business value. • Engineered a model to identify low-value products and clients, providing actionable optimization solutions for potential cost reductions (over 12%), and presented insights to management for informed client negotiation.

• Developed a data processing pipeline to clean and integrate over 4 years of customer data from 3 credit unions, ensuring unified and compatible data structure throughout dataset for data mining. • Cleaned and prepared datasets using Python and SQL queries, leading a team of two students to build anomaly detection models, achieving a 5% reduction in churn rate. • Developed an Isolation Forest model, applied hyperparameter tuning, and used association mining and DBSCAN clustering to detect customer abandonment behavior, resulting in a 15% improvement in engagement rate.

• Managed FX and money market (fixed income securities) portfolios totaling over $300 million for corporates, remittance companies, and individuals, ensuring profitability and long-term stability for the bank. • Developed a quantitative analysis reporting system using time series & linear regression, providing business partners with insights on hedging opportunities and supporting clients’ risk management strategies against currency and interest rate fluctuations. • Built and deployed automated pricing models using Python and quantitative metrics for immediate evaluation of bill discounting and forward contracts, streamlining decision-making processes by 35%. • Pulled and analyzed data from various sources including Bloomberg and Reuters, deployed financial modeling to develop a forecasting suite, and delivered actionable insights to senior management and the CEO, enhancing information-centric initiatives. • Developed an MIS and self-service Tableau dashboard, enhancing ad-hoc business intelligence for the Treasurer and Chief Dealer, providing a 3600 business view to track market & evaluate performance of the trade desk and strengthen client relationships. • Conducted periodic variance analysis to identify fluctuations in key business units, developed ~10 KPIs for root-cause analysis to understand business fluctuations and advised management on necessary actions required.