Data Analytics & BI Professional with Financial Modeling

ISHEANESU CHIWORESO

202-***-**** • Maryland Md 20772 • **********@***.*** •www.linkedin.com/in/ishe-chiworeso

SUMMARY Finance and analytics professional with experience in financial modeling, FP&A, forecasting, and risk analysis. Skilled in building revenue, cost, and liquidity models, supporting budgeting and variance analysis, and developing automated dashboards using SQL, Python, Excel, and business intelligence tools. Experience working with DeFi concepts including staking, liquidity pools, synthetic assets, and yield optimization, with an understanding of associated risk and regulatory considerations. Strong ability to translate data into actionable insights, partner with cross-functional teams, and support data-driven decision-making. Interested in applying AI-enabled analytics and automation to modern financial systems.

EXPERIENCE

Old Mutual limited Harare,Zimbabwe Title Retail Banking & Financial Analyst Sept 2020 – July 2024

●Built financial forecasting and liquidity models using SQL, Excel, and statistical techniques to support strategic planning and resource allocation, improving forecast accuracy by 15%.

●Served as a core liaison between business, finance, and IT teams, translating financial needs into system requirements for CRM upgrades and workflow automation.

●Optimized cost allocation and resource planning processes, improving operational efficiency by 20%.

●Conducted root-cause analysis on transaction discrepancies, identifying process bottlenecks and recommending solutions that reduced operational errors by 25%.

●Executed operational improvements that increased efficiency by 20% through better information flows and workflow enhancements.

●Processed 2,000+ transaction records monthly, maintaining accuracy, audit readiness, and timely reporting.

●Designed automated dashboards (Power BI) to monitor KPIs, cash flow trends, working capital, and risk exposure, reducing reporting time by 40%.

Cabs Bank Harare, Zimbabwe

Title Risk & Control Analyst Oct 2018 – June 2019

●Led deployment of a new CRM system, digitizing client interactions and improving data availability for analytics.

●Conducted risk assessments, control testing, and exception analysis, leveraging audit analytics frameworks continuous monitoring, Z-score anomaly detection.

●Implemented automated data quality checks, reducing manual review effort by 30% and improving accuracy.

●Collaborated with compliance teams on KYC/AML, transaction monitoring, and regulatory mapping, aligning with evolving financial and digital-asset regulations.

●Identified operational and financial risks using diagnostic analytics (Benford’s Law, sequence checks, outlier detection

●Analyzed customer transaction patterns using SQL and Excel, generating insights that improved targeted product strategies by 15%.

EDUCATION

THE GEORGE WASHINGTON UNIVERSITY, School of Business Washington, DC Master of Science, in Business Analytics December 2024 -2025

●Coursework: Data Engineering, Data Management & SQL, Predictive Analytics & Machine Learning, Data Visualization (Tableau/Power BI), SDLC & Requirements Analysis

● Leadership: Consulting 360 Associate

●GWSB Fellowship Award

MIDLANDS STATE UNIVERSITY, School of Business Gweru, Zimbabwe

Degree Bachelor in Banking and Finance Aug 2014 - July 2018

●Coursework: Investment and Portfolio Analysis, Treasury Management, Financial Risk Management, Microeconomics, Business Statistics, Quantitative Analysis.

●Dean’s List Award for Academic Achievement

● Student Director, MSU Volunteering Society

● Bankers Association Student Ambassador

PROJECTs

Agentic AI Case Competition Washington DC USA

CFO Chat Bot (Agentic AI/Copilot) Sept 2025-Dec 2025

●Designed and developed an AI-powered CFO assistant using Copilot Studio + Python capable of querying financial datasets and producing executive insights.

●Built agents capable of querying financial data, generating executive summaries, and automating financial reporting tasks.

●Developed prompt-engineered workflows improving model accuracy and reducing manual reporting time by 40%.

Kaggle Competition Washington DC

Title House Prices - Advanced Regression Technique Sept 2024 – Dec 2024

●Conducted feature engineering on 79 explanatory variables to optimize predictive accuracy, resulting in a 10% improvement in the model's root mean squared error (RMSE).

●Developed and fine-tuned advanced regression models, including Ridge, Lasso, and XGBoost, achieving a top 15% ranking

Predictive Analytics for Optimizing Bikeshare Operations Feb 2025 – May 2025

●Processed 1.7M+ rows using Python; built ML models predicting demand patterns to support operational decision-making.

Iowa liquor sales performance and revenue optimization Dec 2024 – Jan 2025

●Analyzed $500M+ in sales using SQL/Python; produced 5 interactive Power BI dashboards increasing reporting efficiency by 40%.

●Identified revenue leakage and reduced negative sales by 15%.

CERTIFICATIONS & AWARDS

●PL-200: Microsoft Power Platform Functional Consultant (In Progress)

●Certifications in Power BI, Tableau, Python Programming

●Community Choice Award - GWU AI Case Competition

SKILLS

●Technical: Python (NumPy, Pandas, SciPy, Scikit-learn, Matplotlib), SQL (PostgreSQL), R, Power BI, Tableau, SAS, Excel (advanced), Copilot/AI automation, Precision Tree, @Risk

● Financial: Financial modeling, FP&A, budgeting, forecasting, variance analysis, liquidity planning, yield modeling, risk analytics

● DeFi/AI: Yield optimization, staking mechanics, liquidity pools, AI agents, synthetic assets.

● Soft Skills: Cross-functional leadership, stakeholder communication, requirements gathering, project management, strategic decision support

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