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ParnazAli/README.md

Hi, I'm Parnaz

Typing SVG

💗 About me

I turn raw business data into dashboards that decision-makers actually use. I work as a Data Analyst & Business Intelligence Specialist, building reporting across sales, finance, procurement, and production.

My background in Accounting lets me understand the business logic behind the numbers, not just the technical side. I'm especially interested in financial analytics, risk modelling, and data-driven decision making.

🌸 What I do

  • 📊 Design and maintain KPI dashboards and financial reporting for multiple business functions
  • 🧮 Build statistical and machine learning models to support forecasting and decisions
  • 📈 Analyse investment portfolios and risk using quantitative methods (VaR, CVaR, Sharpe, Sortino)

🧰 Technical Skills
📊 Financial Analysis & Reporting Advanced Excel · PivotTables · Power BI · DAX · Power Query (M) · Cash-flow reporting · KPI dashboards
💹 Investment & Risk Analysis Mean-variance optimisation · VaR · CVaR · Sharpe · Sortino · Portfolio performance evaluation
📐 Statistical Analysis Python (pandas, NumPy, SciPy, statsmodels, Matplotlib, Seaborn) · Hypothesis testing · OLS & logistic regression with robust standard errors · Correlation analysis
🗄️ Databases & Integration SQL (T-SQL, PostgreSQL, SQL Server) · SSIS · SSAS
🤖 Machine Learning XGBoost · K-Means · SHAP

🛠️ Core Tools

SQL Python Excel Power BI

📌 Pinned below: some of my favorite data & BI projects.

🤝 Let's connect

Email

Pinned Loading

  1. investment-portfolio-analysis investment-portfolio-analysis Public

    Markowitz portfolio optimization, risk analysis & backtesting on a 9-asset investment universe (Investment Management course project)

    Jupyter Notebook 5

  2. statistical-analysis-project statistical-analysis-project Public

    Applied statistics project on a synthetic dataset: data cleaning, hypothesis testing (parametric & non-parametric), effect sizes, correlation, and regression — with tested, modular Python code and …

    Jupyter Notebook 4 1

  3. adventureworks-sql-analysis adventureworks-sql-analysis Public

    Structured T-SQL business intelligence analysis of the AdventureWorks dataset — sales trends, customer segmentation, and product performance using window functions, CTEs, and reusable reporting views.

    4

  4. global-electronics-retailer-analysis global-electronics-retailer-analysis Public

    End-to-end sales & business analysis of a global electronics retailer (2016–2021) — Python, pandas, and SQL across 4 modules: Sales Performance, Geographic Performance, Product Performance, and Cus…

    Jupyter Notebook 4

  5. online-retail-data-analysis online-retail-data-analysis Public

    Cleaning, transforming, and analyzing 500K+ retail transactions with SQL — RFM segmentation, cohort retention, and customer lifetime value. Dashboard in Power BI (in progress).

    Python 4