Likhith Appakondreddigari Email & Phone Number

Washington Dc-Baltimore Area

India

• Monitored and analyzed financial transactions at PayPal, specializing in fraud detection, claims, and dispute resolution.• Utilized Hadoop for data storage and retrieval of transactional data, integrating with Cassini for pattern identification, anomaly detection, and risk assessment.• Implemented effective strategies to mitigate fraud, minimize financial losses, and optimize account statuses and fund allocation using data-driven insights and predictive modeling.• Conducted time series analysis of customer transaction history for accurate assessment of ongoing transactions' authenticity and predicting the legitimacy of current transactions.• Collaborated with cross-functional teams to implement fraud prevention measures, resulting in a 7% revenue growth.• Managed a team of analysts, utilizing Jira to track and manage projects focused on monitoring and analyzing financial transactions at PayPal.• Applied Association Rule Mining techniques to transactional and relational databases, contributing to enhanced business decision-making through Market Basket Analysis.• Collaborated with finance and risk management teams to quantify the financial impact and significantly reduce losses attributed to fraudulent activities.

India

India

As a financial data analyst, I played a crucial part in a dedicated financial team tasked with overseeing user transactions and making precise predictions regarding their legitimacy and associated risks.Worked on analyzing patterns and frequencies of user transactions to construct and improve predictive models. These models enabled us to make accurate predictions about the outcome and legitimacy of transactions.To ensure the ongoing effectiveness of the predictive model, I actively participated in data injection and continuous monitoring efforts using an in-house tool (Omni Base) By constantly reviewing and updating the model, I helped maintain this tool's accuracy and reliability.Implemented cluster analysis to group transactions with similar characteristics, enabling a deeper understanding of transaction patterns within the platform.

Master Of Science - Ms, Data Modeling/Warehousing And Database Administration

Bachelor'S Degree, Electronics And Instrumentation Engineering