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bahar-data/README.md

Hi, I'm Bahar Almasi 👋

Data Analyst with a strong focus on analytics, machine learning, fraud detection, and business intelligence.
Passionate about transforming raw data into actionable insights through statistical analysis, predictive modeling, and data-driven decision-making.

Areas of Interest

  • Fraud Detection & Risk Analytics
  • Machine Learning & Predictive Modeling
  • Business & Operational Analytics
  • NLP & Text Classification
  • SQL & Data Engineering
  • Data Visualization & Reporting

Tech Stack

Programming & Analytics

Python • SQL • PySpark • SAS • R

Data Science & Machine Learning

Scikit-learn • XGBoost • Pandas • NumPy • MLflow • NLP

Visualization & Reporting

Power BI • Tableau • Matplotlib • Seaborn • Excel

Cloud & Big Data

Azure Machine Learning • Azure Databricks • Spark MLlib • Docker

Featured Projects

Fraud Detection Pipeline using Azure Databricks

End-to-end machine learning workflow using PySpark, MLflow, and Databricks Jobs for scalable fraud detection and automated retraining.

Mobile Transaction Fraud Detection

Machine learning models for detecting fraudulent financial transactions using the PaySim dataset, including SMOTE, feature engineering, and XGBoost optimization.

NLP Banking Complaint Classification

Natural Language Processing project for classifying banking customer complaints into financial product categories using TF-IDF and machine learning.

SQL Business Case Studies

Advanced SQL projects covering banking analytics, transaction monitoring, KPI reporting, query optimization, Dockerized SQL Server workflows, and business intelligence case studies.

Current Focus

  • Machine Learning for Financial Analytics
  • Fraud Detection & Transaction Monitoring
  • Business Intelligence & KPI Reporting
  • Cloud-based Data Science Workflows
  • Building scalable analytics projects using Azure & Databricks

Connect With Me

  • LinkedIn: linkedin.com/in/baharehalmasi
  • GitHub: github.com/bahar-data

⭐ Open to Data Analyst, Risk Analytics, Fraud Analytics, Business Intelligence, and Machine Learning opportunities.

Pinned Loading

  1. fraud-detection-databricks-pipeline fraud-detection-databricks-pipeline Public

    End-to-end machine learning pipeline for detecting credit card fraud using Azure Databricks, PySpark, MLlib, and MLflow automation.

    Jupyter Notebook

  2. banking-complaints-nlp-classification banking-complaints-nlp-classification Public

    NLP and machine learning project for classifying banking customer complaints using Python, TF-IDF, and XGBoost.

    Jupyter Notebook 1

  3. mobile-transaction-fraud-detection mobile-transaction-fraud-detection Public

    A data science project for detecting fraud in mobile money transactions using the PaySim dataset.

    Jupyter Notebook 1

  4. sql-business-case-studies sql-business-case-studies Public

    Advanced SQL business case studies using SQL Server, Docker, and T-SQL for banking, sales, and transaction analytics.

    TSQL 1

  5. obesity-risk-classification-ml obesity-risk-classification-ml Public

    End-to-end obesity risk classification pipeline using Azure ML, Databricks, Python, and machine learning workflows.

    Python 1

  6. global-energy-economic-analysis global-energy-economic-analysis Public

    Data analysis project exploring relationships between global energy consumption, GDP, and scientific research output using Python.

    Jupyter Notebook 1