PRITHA BOSE

984-***-**** ad4o9p@r.postjobfree.com Raleigh, NC http://linkedin.com/in/pritha-bose-51b7b0141 SKILLS

Data Analytics Tools and Languages: SAS, Python, R, SQL, MySQL, MATLAB, Alteryx Database & BI Tools: Excel, VBA, Snowflake, SharePoint, Tableau, PowerBI, Qlik, Agile Financial Compliance: GFCC, AML, SEC, FINRA, FRB Compliance, Risk Modeling, Financial Risk Modeling (Interest Rate Risk, Liquidity Risk, Capital Risk, Credit Risk, Fraud Risk), AML/BSA/OFAC/Sanctions, Financial Crimes Risk Management Technical Skills: Predictive Modeling, Regression Analysis, ARIMA/GARCH Time Series, Structural Equation Modelling, GAAP, ANOVA, Inferential Statistical Analysis, Logistic regression, Linear regression Business Analysis & Project Management Skills: Cost Accounting, Financial Planning & Analysis, Scenario Analysis, Root Cause Analysis, Mobile App Analytics, Incident Management, Mobile App Analysis, Database Management System (DBMS) Certifications: Bloomberg Market Concepts, Digital Acumen, Salesforce CRM, Data wrangling with Pandas WORK EXPERIENCE

Graduate Research Assistant North Carolina State University Raleigh, NC, US Aug 2023 – Present

• Revamped cloud storage management using SAS, VBA, and Tableau-based ML and time series analysis ensuring data solutions, boosting customer satisfaction by 55.2%, and cutting costs by 25.8%.

• Overhauled credit risk analysis for the NC Local Food Campaign using SAS, Pivot Tables, and Tableau, leading to a 45.9% surge in consumer engagement and sophisticated predictive modeling of spending patterns, enhancing strategy development.

• Optimized NCSU strategic planning and facility optimization through end-to-end FP&A by improving budget and resource allocation forecasting accuracy by 92.9% over 5 years, using advanced scripting for data-driven annual budgeting decisions. Statistics & Data Science Consultant North Carolina State University Raleigh, NC, US Aug 2023 – Present

• Enhanced USDA Census data analysis for 100+ North Carolina counties by integrating clustering algorithms and decision tree techniques, resulting in a 50% quicker infographic production and improved validation and efficiency in data interpretation.

• Leveraged Python and R to automate data mining, and scraping, and crafted AI/ML-driven web platforms for technical solution design, enhancing financial planning, refined cash flow models, and enabling future campaigns, aiding more than 5 stakeholders. Associate Level II PWC - Price Water Coopers Service Delivery Center Kolkata, India Apr 2019 – Jul 2022

• Orchestrated AML/BSA/OFAC compliance projects, employing advanced data analytics and Power BI for CDD, EDD, and SAR optimization, achieving an 85.2% reduction in money laundering risk exposure through data-driven strategies.

• Utilized SAS to conduct in-depth data strategy analytics for risk and bankruptcy management across equity markets, M&A, PE, and VC, driving a $2M revenue increase and improving market positioning with detailed capital market insights.

• Conducted comprehensive research for business expansion and competitive analysis through ERP system, securing a 25.2% client growth and deepening industry insights and KPIs.

Research Associate Netscribes India Pvt Ltd Kolkata, India Jul 2017 – Mar 2019

• Implemented gradient-boosted trees and AB testing, enhancing fraud detection by 33%, and performed transaction analysis to identify suspicious activities; collaborated with AML on high-risk profiles, strengthening enterprise solution design and compliance. EDUCATION

M.S. in Quantitative Economics and Econometrics North Carolina State University Raleigh, NC, US Aug 2022 – May 2024 Courses: Quantitative Applied Econometrics I & II, Introduction to Commodity Futures Markets, Microeconomics, Health Economics & Policy, Macroeconomics, US Agricultural Policy, Futures, and Price Risk Management Master of Economics Rabindra Bharati University West Bengal, India May 2015 – Jun 2017 Courses: Financial Economics, Trade, Product Design and Development, Supply Chain Management, Mathematics & Statistics PROJECTS

Analyzing Bankruptcy Risks: A Data-Driven Approach - Employed machine learning and Structural Equation Modeling to conduct data-driven bankruptcy vulnerability tests, using T-testing and cost-benefit analysis for comprehensive financial assessment. Jenesys-2016: Represented India in Japan, conducting a technical assessment of Indo-Japan ties and spotlighting innovations. AWARDS - Hidden Gem: for outstanding project execution, and cross-functional end-to-end business solution skills.