Data Analytics Business
Resume:
Aug, 2023 -Dec, 2024
June, 2015 - June, 2018
Nandukrishna Pariyangattu
+1-203-***-**** *******************@*****.***
https://www.linkedin.com/in/nandukrishnapariyangattu Summary
Results-driven compliance and business analytics professional with expertise in AML, KYC, and fraud prevention. Skilled in conducting investigations, ensuring regulatory adherence, and leveraging data analytics to mitigate risks and enhance decision-making. Proficient in designing dashboards, monitoring suspicious activities, and ensuring compliance with BSA, AML, and OFAC regulations. Proven ability to collaborate across departments, manage complex datasets, and maintain accuracy under tight deadlines. Experience
NatWest Markets
Senior Fiancial Analyst- Data & Operations
Designed and implemented reporting dashboards to streamline compliance processes, reducing transaction processing time by 15%.
Resolved T+0 trade discrepancies in FX, MM, and Options, ensuring accurate and timely settlements. Analyzed settlement inquiry trends, improving response times by 20% and reducing escalations by 30%. Authored Standard Operating Procedures (SOPs), led team training, and acted as Subject Matter Expert (SME) for trade-related queries.
Supported UTI implementation, user acceptance testing (UAT), and SWIFT releases, ensuring adherence to industry regulations.
NatWest Bank
Operations & Fraud Analyst
Conducted fraud detection and analysis using VROL, reducing fraud incident rates by 25%. Verified retailer documents and managed fraud cases using Visa Resolution Online (VROL), ensuring operational efficiency.
Filed Suspicious Activity Reports (SARs) for AML compliance, supporting adherence to regulatory requirements under the BSA.
Conducted detailed account reconciliations and processed refunds, ensuring accuracy and compliance with financial regulations.
Education
Sacredheart University, Connecticut, USA
Master of Science, Business Analytics
Dayananda Sagar Business Academy, Bengaluru, India Bachelor of Business Administration
Technical Skills
AML & KYC Tools: VROL (Visa Resolve Online), Everi Compliance, IGT Casino Management System Data Analysis and Visualization: Excel, Power BI, Tableau, SQL, R Studio Transaction Management Systems: SWIFT Alliance, TLM, IntelliMatch, MUREX Regulatory Reporting & Risk Assessment: SAR preparation, FinCEN 314(a), OFAC screening Fraud Detection & Prevention: Pre-arbitration processes, CES (Customer Event System), BPM/GACM Projects
Customer Segmentation and Predictive Modeling for Online Retail (Aug 2024 – Dec 2024) Analyzed customer behavior using unsupervised learning to segment customers into four distinct groups. Developed regression models for sales prediction and association rule mining to identify frequently bought- together products. Conducted churn prediction to identify at-risk customers, supporting targeted re-engagement strategies. Delivered actionable insights, such as identifying product associations (e.g., "Hand Warmer Union Jack" with "Hand Warmer Owl Design"), driving marketing strategies and revenue growth. Used Python for clustering, predictive modeling, and visualization. Optimizing FastShip's E-commerce Supply Chain (Apr 2024 - June 2024) Led a project to optimize supply chain operations through cost modeling, inventory optimization, and location analysis. Developed mathematical models using Python (PuLP) to minimize transportation costs and balance inventory levels. Created visualizations with Pandas, Matplotlib, and Seaborn to support decision-making and enhance communication. Achieved significant reductions in transportation expenses, improved delivery times. Key Achievements
Reduced fraud incident rates by 25% through advanced analysis and monitoring. Successfully implemented compliance tools and processes to ensure regulatory adherence. Designed dashboards that streamlined AML/KYC workflows, saving significant time and resources.
Contact this candidate