Mausam A.

Data Scientist | Machine Learning Engineer | Python, Fraud Detection

Data Scientist | Machine Learning Engineer | Python | SQL | Fraud Detection | Analytics I help businesses turn data into practical decisions through machine learning, analytics, and production-ready Python solutions. I’m a Data Scientist and ML Engineer with 4+ years of experience building predictive models, anomaly detection systems, data pipelines, and analytics dashboards across financial services and business intelligence use cases. My background combines software engineering with applied machine learning, including research in interpretable anomaly detection for peer-to-peer financial transactions, which gives me strong experience in both model performance and explainability. What I can help you with ✅ Machine Learning & Predictive Analytics Classification & regression models Customer segmentation Forecasting Feature engineering Model evaluation & optimization ✅ Fraud Detection & Risk Analytics Transaction anomaly detection Financial risk analytics Rule-based + ML hybrid fraud systems Explainable AI for suspicious activity analysis Graph/network analysis for transaction relationships ✅ Python Data Science Python (Pandas, NumPy, Scikit-learn) Data cleaning & preprocessing Exploratory data analysis ETL automation Jupyter & reproducible workflows ✅ SQL & Data Engineering SQL query optimization PostgreSQL/MySQL Data modeling ETL pipelines Workflow automation ✅ Production ML / APIs FastAPI / Flask Model deployment REST APIs Batch processing Integration with existing systems Technical Stack Languages: Python, SQL, R Data Science / ML: Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch Fraud & Analytics: anomaly detection, explainable AI, graph analytics, business analytics Backend: FastAPI, Flask, Django Databases: PostgreSQL, MySQL, Redis Big Data: Apache Spark, Kafka, Hadoop Cloud / DevOps: AWS, GCP, Azure, Docker, GitHub Actions Visualization: Plotly, Tableau, Matplotlib Why clients work with me ✔ Strong analytical + engineering background ✔ Able to explain complex data clearly ✔ Focus on business impact—not just models ✔ Reliable communication and clean deliverables ✔ Experience with financial transaction data and real-world systems If you need help with machine learning, analytics, fraud detection, or Python data workflows, I’d be glad to work with you.