Anomaly Detection
Designing detection logic for fraud, unusual customer behavior, repayment stress, and operational drift using statistical baselines, ML models, and monitoring feedback.
Financial services data science and anomaly detection
Turning financial data into risk intelligence, reliable models, and decision systems.
I build production-minded analytics for credit risk, fraud signals, customer intelligence, ETL automation, and executive BI. My work connects machine learning with the practical reality of banking, fintech, and high-trust data operations.
Mausam Adhikari
Senior Data Analyst, Kathmandu
Risk Signal Monitor
Live model thinking
Transaction deviation
0.91
Repayment stress
0.74
Identity pattern drift
0.39
70%
Reported ROI lift from Customer X360 and Financial Credibility Index work
30%
Fraud activity detection improvement through anomaly models
50%
Processing speed improvement from automated ETL pipelines
100+
Students trained in Python, data science, and machine learning
What I do best
Applied intelligence for financial systems.
My strongest work sits where model quality, data reliability, and business trust meet.
Credit Risk Intelligence
Building financial credibility features, NPL analysis workflows, customer segmentation, and risk-ready data marts for lending and portfolio decisions.
Data Engineering
Creating Airflow and PySpark pipelines, clean feature stores, automated reporting flows, and analytics infrastructure that teams can trust every day.
Executive Analytics
Turning complex financial signals into Tableau, Power BI, and SQL-backed decision views for leaders, analysts, and product teams.
Selected work
Projects with business context, not just code.
Representative work across financial data products, machine learning, AI interfaces, and analytics platforms.
FCI
Financial services
Customer X360 and Financial Credibility Index
Unified customer, behavioral, and financial signals into risk-aware intelligence used for better segmentation, credibility assessment, and portfolio decisions.
Credit scoring
Feature engineering
SQL
BI
Anomaly
Detection systems
Fraud and Behavior Anomaly Detection
Built model-driven signals to surface suspicious activity, outlier behavior, and drift patterns across financial datasets.
Scikit-learn
Python
Monitoring
ETL
Data platforms
Automated Financial ETL Pipelines
Improved processing speed and reliability through scheduled pipelines, reusable transformations, and cleaner analytics layers.
Airflow
PySpark
AWS
AI
AI interfaces
Generative AI Customer Experience POCs
Researched and prototyped chat-based interfaces for customer support, analytics access, and knowledge retrieval.
LLMs
FastAPI
RAG concepts
Experience
Built across analytics, engineering, and teaching.
Senior Data Analyst
ExtensoData, Kathmandu
Led Customer X360, Financial Credibility Index, anomaly detection, NPL analytics, ETL automation, and Gen AI research for financial services use cases.
Financial analytics
Anomaly detection
PySpark
Airflow
Data Science Instructor
Broadway Infosys, Kathmandu
Taught Python, data science, visualization, and machine learning through hands-on projects and real-world datasets.
Python
ML education
Visualization
Teaching Assistant, AWS and Data Analytics
Genese Cloud Academy, Kathmandu
Supported AWS data analytics training, Python and SQL labs, assignments, and project evaluation.
Backend Developer
Uptechsys, Kathmandu
Built FastAPI and Sanic-based services, database models, and REST APIs with test-driven engineering practices.
Technical stack
Tools I use to move from raw data to production insight.
Modeling
Python, Pandas, NumPy, Scikit-learn, TensorFlow, statistical modeling, feature engineering
Data platform
SQL, PySpark, Apache Airflow, ETL/ELT, AWS S3, Lambda, Glue, Docker
Analytics delivery
Tableau, Power BI, executive dashboards, metric design, stakeholder reporting
Contact
Let us build the next trustworthy data system.
Best fit: financial services analytics, anomaly detection, credit risk intelligence, data engineering, and applied AI prototypes.
me@mausamadhikari.com.np
Read my blog
@mausamadh
Based in Kathmandu, Nepal
Open to financial data science, analytics engineering, and AI consulting conversations.