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Martin Varzhapetyan

@martinvarzhapetyan

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Senior Data Scientist delivering real-time fraud detection and revenue-driving analytics.

Armenia

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What I'm looking for

I’m looking for a team where I can ship production ML and analytics—fraud/risk, revenue optimization, and self-serve BI—using strong engineering practices. I want work that measures impact in dollars and evolves fast.

I’m a Senior Data Scientist and Analytics Engineer at the intersection of finance, data, and engineering. I build ML models that catch fraud in real time, streamline payment authorization rates, and turn complex financial data into dashboards C-suite can act on.

In my current role (08/2023–now), I discovered a fraud pattern bleeding $100K/month and built an ML detection pipeline with Airflow that stopped it within the first sprint. I also engineered automated ETL pipelines, cutting data delivery time from hours to minutes and improving payment authorization flows with measurable risk reduction.

I’m deep in payment systems, chargeback analytics, and risk scoring, with a strong focus on production reliability. I’ve deployed Time Series Forecasting (75%+ accuracy) and Anomaly Detection with automated alert pipelines, and I’ve built advanced Power BI models using complex DAX so the finance team can self-serve insights without analyst tickets.

Earlier, I shipped BI and analytics impact across teams—like creating a Tableau dashboard that gave live KPI visibility and contributed to 17% sales growth, and building data monitoring Power BI dashboards relied on by 200+ colleagues. I also teach data analytics, helping beginners become job-ready through hands-on SQL/Python work.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Scientist

Current

NDA

Aug 2023 - Present (2 years 10 months)

Built and productionized a fraud detection pipeline after discovering a pattern bleeding $100K/month; the system stopped losses within the first sprint and continues running in production. Automated ETL with Airflow, optimized ClickHouse reporting with custom DDL, and shipped Power BI analytics with 75%+ accurate forecasting and automated anomaly alerting.

Fraud Detection Airflow Clickhouse Python SQL Machine Learning Pipelines Power BI Anomaly Detection ETL

Current

Data Analytics Tutor

Current

Armenian Code Academy

Sep 2022 - Present (3 years 9 months)

Taught Intro to Data Analytics, helping beginners become job-ready analysts through hands-on SQL/Python projects and real-world datasets. Served as a teacher assistant for an applied econometrics and linear algebra course, guiding students through statistical concepts and practice.

SQL Python Data & Analytics Linear Algebra Econometrics Datasets

Analytics Engineer

Polymath Jamesedition

Nov 2022 - Mar 2023 (4 months)

Developed a Tableau dashboard with live KPI visibility, contributing to 17% sales growth, and built a gradient boosting model from scratch achieving 86% accuracy for predicting listing bookings. Led an analytics project using R-Studio to inform decision-making and delivered statistical reporting that reshaped marketing targeting strategy.

Tableau Gradient Boosting Machine Learning Data Modeling A B Testing

Data Analyst / BI Developer

Philip Morris International

Dec 2021 - Jan 2023 (1 year 1 month)

Built Power BI dashboards with advanced DAX and ETL to close a backend monitoring gap and create a single source of truth for the team. Optimized SQL retrieval with CTEs and window functions, systematized pipelines via Python and REST API to double backend performance, and maintained a critical report used by 200+ colleagues globally.

Power BI DAX SQL ETL Python REST APIs Window Functions Data Visualization Data monitoring

People Analytics Analyst

Ameriabank Cjsc

Mar 2019 - Dec 2020 (1 year 9 months)

Built ML models to predict booking probability with 86% accuracy and to identify unhappiest units, driving a 12% increase in retention. Predicted burnout using pulse surveys and employee activity logs at 75% accuracy, and improved engagement by 22% using a Messenger survey chatbot that increased response rates by 56%.

Machine Learning Decision Trees Regression Modeling Pulse Survey Analytics Burnout Prediction Employee Retention

Teacher Assistant - Econometrics

American University of Armenia

Feb 2020 - Jun 2020 (4 months)

Assisted in teaching econometrics with linear algebra in the MS program by guiding students through matrix operations, statistical regression analysis, and statistical inference. Developed Power BI anomaly detection dashboards using DAX-driven formulas to flag sensor issues before processes go out of constraint.

Econometrics Linear Algebra regression Power BI DAX Anomaly Detection