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Pavan Kalyan

Pavan Kalyan

Data Analyst

Tanuku, Andhra Pradesh 2+ yrs exp 89 · Excellent

About

Data Analyst with 2.7+ years of experience in Payments, Trust and Safety, specializing in consumer fraud detection, risk mitigation, and graph-based anomaly detection. Skilled in Python, advanced SQL, and ML/LLM pipelines to protect digital ecosystems across Google Store, YouTube, and Google Play.

Skills & Expertise (15)

Advanced SQL Advanced
8.0/10
2.7
Years Exp
Python Advanced
8.0/10
2.7
Years Exp
Pandas Advanced
8.0/10
2.7
Years Exp
NumPy Advanced
7.5/10
2.7
Years Exp
scikit-learn Intermediate
7.0/10
2.7
Years Exp
Anomaly Detection Intermediate
7.0/10
2.7
Years Exp
Risk Profiling Intermediate
6.5/10
2.7
Years Exp
Power BI Intermediate
6.0/10
2.7
Years Exp
Looker Studio Intermediate
6.0/10
2.7
Years Exp
Streamlit Intermediate
6.0/10
2.7
Years Exp
Plotly Intermediate
6.0/10
2.7
Years Exp
Seaborn Intermediate
6.0/10
2.7
Years Exp
Matplotlib Intermediate
6.0/10
2.7
Years Exp
Excel Intermediate
6.0/10
2.7
Years Exp
OpenCV Intermediate
5.5/10
2.7
Years Exp

Work Experience

Data Analyst

Google

Jun 2024 - Jun 2026

Developed an alternate-day graph mining framework for transaction monitoring and financial crime detection, using affinity clustering to map account-entity linkages and identify fraud patterns across $1.4M+ in transactional volume, supporting broader AML compliance efforts. Architected “Alert Sentinel,” an NL-to-SQL pipeline translating multidimensional anomaly descriptors into optimized BigQuery queries, improving the management of complex relational data structures and reducing investigative time-to-insight by 60%. Designed and integrated comprehensive monitoring systems, facilitating cross-functional collaboration with product managers to align metrics with business goals and improve stakeholder management. Formulated strategy to optimize automated enforcement protocols, conducting rigorous risk assessment on high-false-positive rates to identify root causes across localized and international data segments. Optimized LLM prompts through rigorous QC on high-volume anomaly samples, increasing logic execution success rates to 97%.

Education

B.Tech in Electronics and Communication Engineering - SASTRA University

2019 - 2023 · Afghanistan

Certifications

Google Data Analytics Professional Certification

Google · 2025

Google AI Essentials

Google · 2025

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Profile Score Breakdown

📷 Photo 10/10
📄 Resume 10/10
💼 Job Title 10/10
✍️ Bio 10/10
🛠️ Skills 20/20
🎓 Education 10/10
⏱️ Experience 9/15
💰 Rate 0/5
🏆 Certs 5/5
Verified 5/5
Total Score 89/100

Profile Overview

Member sinceSep 2026

Availability Details

Visa Status

Citizen

Relocation

Open to Relocation