Chakravarthi
Turning Complex Data into Clear Risk Insights
FinCrime and risk professional combining financial crime operations, SQL, Python, and business intelligence to identify patterns, improve decisions, and deliver actionable insights.
A data point or pattern that deviates from expected behavior.
"The model flagged the transaction as an anomaly worth investigating."
About me
A financial-crime and risk professional with a data analyst's toolkit.
“Risk judgment shaped by investigation. Analytical thinking strengthened by data.”
FinCrime, Risk & Data Analytics professional currently working as a FinCrime Analyst at Revolut, with prior experience at Amazon in transaction risk investigation. Experienced in AML, KYC and CDD reviews, fraud and financial crime risk analysis, and structured investigation.
Combines this risk foundation with hands-on analytics capability — SQL, Python and Pandas, advanced Excel, Power BI and Tableau — to analyse transaction and customer data, detect anomalies, segment risk, visualise trends and support data-driven decision making.
Open to Risk Analyst, Fraud/Risk Analytics, Data Analyst and Business Analyst roles in financial services and technology.
Academic background
MBA in Finance
Andhra University
Expected: 2026
B.Tech in Mechanical Engineering
Avanthi Institute of Engineering & Technology
Graduated: 2023
Diploma in Mechanical Engineering
Government Polytechnic College, Narsipatnam
Graduated: 2019
My journey
Select a chapter to explore experience across financial crime, transaction risk, customer operations and analytics.
Now showing
FinCrime Analyst
Revolut
- Conduct customer due diligence (CDD) and AML/KYC reviews
- Investigate financial crime and fraud risk indicators
- Assess and document risk using structured analytical methods
- Apply data-driven reasoning to support compliance decisions
- Escalate and report findings clearly to relevant stakeholders
Skills library
SQL, Python and Power BI applied to risk, fraud and business analytics.
Data & Technical
Analytics & Business Intelligence
Risk & Financial Crime
Analytical & Professional
CM Originals
Independent personal projects across fraud analytics, credit risk, SQL and business intelligence — built with public, synthetic or independently sourced data.
NLP Sentiment Analysis
Independent Personal Project
Built an end-to-end text analysis pipeline — preprocessing, sentiment classification and visualisation of results using Python.
Data: Publicly available text dataset
Automation Medicine Dispenser Machine
Independent Personal Project
Final engineering project focused on automating medicine dispensing to improve efficiency and accuracy.
Data: Academic project
Certifications
Continuous learning across data, analytics, and business intelligence.
Continue the story
View my full resume online — experience, projects, technical skills, education and certifications — or download the ATS-friendly PDF.
Let's work together
Open to Risk Analyst, Fraud & Risk Analytics, Data Analyst and Business Analyst opportunities.