Shrushti Shah Email & Phone Number

Plano, Tx, Us

Charlotte, North Carolina, United States

1. Custom SQL Query Development:Built custom SQL queries using Common Table Expressions (CTEs) to efficiently fetch customer history and transaction details from multiple data sources, ensuring comprehensive data retrieval for analysis.2. Exploratory Data Analysis (EDA):Conducted exploratory data analysis using Excel on extracted data to analyze customer behavior, identifying patterns and trends that were crucial in detecting and mitigating claims abuse.3. Fraud Case Resolution Protocols:Developed and implemented new protocols for the timely resolution of fraud cases, leading to a 25% improvement in the case closure rate and enhancing the efficiency of fraud management processes.4. Fraud Prevention Strategies:Implemented effective strategies and controls to prevent financial loss due to claim abuse, resulting in a 30% decrease in fraudulent payouts. Utilized a tech stack that included SQL, AWS, Python, and Tableau to achieve these results.5. Reporting & Visualization:Created detailed reports and visual dashboards using Tableau to communicate findings and support decision-making, providing actionable insights that strengthened fraud prevention efforts.

United States

1. Internship (May 2023-August 2023)• Hyperparameter Tuning & Research: Contributed to the Freddie Alternative Credit Score (FACS) team by researching and developing hyperparameter tuning algorithms, leveraging various Python packages to enhance model performance.• Efficiency Optimization: Optimized credit analysis models, significantly reducing processing time from days to hours through code refinement and the implementation of improved scoring mechanisms.• Model Accuracy Improvement:Fine-tuned predictive models and established robust evaluation metrics, achieving an 88% accuracy rate, which played a crucial role in enhancing decision-making processes.2. Capstone Project (August 2023-December 2023)• Comprehensive Data Collection & Analysis: Led the collection and analysis of housing market data during black swan events like the 2008 financial crisis and Covid-19, utilizing Python and R to identify significant trends and anomalies.• Advanced Predictive Modeling: Developed predictive models with 88% accuracy, applying statistical methods and machine learning techniques to forecast housing price fluctuations during volatile periods.• Data Visualization & Stakeholder Communication: Leveraged Tableau to create intuitive visualizations, effectively communicating complex findings to stakeholders and aiding in strategic decision-making during unpredictable market conditions.

College Park, Maryland, United States

1. Research Assistantship•Research on Climate Impact & Mortgage Defaults: Analyzed the correlation between mortgage default rates and climate change's impact on Government-Sponsored Enterprises (GSEs), offering insights vital for developing strategies to address climate-related risks in the housing market.•Collaborative Research Initiatives: Worked closely with faculty on collaborative research projects, contributing to the publication of findings in academic journals, and expanding the school's reputation in the fields of finance and climate risk analysis.2. Teaching Assistantship•Student Support in Financial Engineering:Provided comprehensive support and guidance to students in the financial engineering course, enhancing their grasp of complex financial and mathematical concepts through practical application and theoretical instruction.•Curriculum Development & Enhancement:Assisted in refining course materials and creating supplemental resources that improved the learning experience, ensuring that students had access to the latest industry knowledge and tools.

Mumbai, Maharashtra, India

1. Payment Risk Identification & Mitigation:Identified and mitigated payment risks in financial products such as equities, swaps, and options, contributing to the overall risk management framework and enhancing the financial stability and security of operations.2. Data-Driven Business Insights:Leveraged data analysis and visualization tools, including Python, to derive valuable business insights. Successfully presented a comprehensive dashboard to an audience of over 600 people, demonstrating the impact of data-driven decision-making.3. Financial Transaction Assessment:Assessed and monitored financial transactions to ensure secure and timely fund transfers while minimizing exposure to risk. This role was pivotal in achieving effective risk management and maintaining secure financial operations.4. Cross-Functional Collaboration:Collaborated with cross-functional teams to implement risk management strategies and improve the overall efficiency of financial processes, fostering a culture of continuous improvement and operational excellence.

Master'S Degree, Business Analytics

Masters Degree, Data Science And Business Analytics, 4.0

Bachelor'S Of Management Studies, Finance, 4.0

Actuarial Science