Ver categorias
Explorar
Fiverr Pro
Português
$
USD
Mariam K
@mariamkuras
Data Analyst, Financial Modeling, Power BI and Excel Dashboards
Geórgia
Inglês, Russo, Georgiano
Sobre mim
I help organizations and individuals turn data into decisions. With 7+ years in financial and risk analysis including credit risk modeling, treasury forecasting, and digital transformation work in the public and financial sectors I build clear, actionable dashboards, financial models, and data analysis that hold up under scrutiny. Tools: Python, SQL, Power BI, Tableau, Excel.
Habilidades
Mariam K
offline •
Conheça meus serviços
BI Analytics
I will build a financial model or power bi dashboard for your business
Consultoria em data analytics
I will lean and organize your excel data or build a simple chart
Experiência profissional
Program Management Officer
World Bank • Período integral
May 2022 - Aug 2026 • 4 yrs 3 mos
Led digital transformation and treasury forecasting initiatives for finance ministries and central banks, including a multi-year forecasting project that deployed machine learning-based anomaly detection and expanded institutional coverage from 1,500 to 3,000+ public institutions. Advised governance and technology teams on integrating data analytics and emerging technology into large-scale reform programs, and built internal frameworks for evaluating and scaling digital tools from pilot to production.
Financial Analyst
GeoHaz Solutions (private) Limited • Período integral
May 2019 - Aug 2022 • 3 yrs 3 mos
Supported strategic investment planning and capital project evaluation for large-scale infrastructure initiatives, including a $556M infrastructure program. Built dynamic valuation models to inform pricing strategy and capital allocation, developed Excel-based cash flow forecasting tools for treasury decisions, and created performance dashboards and KPIs to track project implementation and operational efficiency.
Junior Credit Risk Analyst
Bank of Georgia • Período integral
May 2018 - May 2019 • 1 yr
Performed risk assessments and supported credit decision-making for retail and business loan portfolios, evaluating over 800 consumer and 130 corporate loan applications. Improved provisioning accuracy by integrating market intelligence data into risk models, and designed automated risk scoring templates that improved loan approval turnaround by 15%.
