Data Scientist | Machine Learning | Analytics & Risk Systems
I’m a Data Scientist with 3+ years of experience building predictive models, ML workflows, and analytics systems
on large-scale behavioral and financial data. I focus on taking work end-to-end: feature engineering, model training,
evaluation, deployment, and monitoring.
Recently, I’ve been working on customer behavior modeling, operational risk insights, KPI design, and experimentation
support using Python, SQL, Airflow, Redshift, and Tableau. Previously, I built AML and KYC analytics systems across
millions of transactions, including segmentation, anomaly detection, and fast search pipelines for investigations.
Built ML workflows in Python to predict customer behavior, operational risk, and product performance. Engineered behavioral feature sets from millions of events and evaluated models using cross-validation, calibration, and distribution checks.
View DetailsDeveloped clustering, anomaly detection, and segmentation models in Python/R to improve AML and KYC signal quality across high-volume transaction data. Designed reproducible pipelines with validation layers and audit-friendly outputs.
View DetailsBuilt Django REST APIs to serve risk scores, feature signals, and model outputs to downstream tools. Optimized PostgreSQL + Elasticsearch for low-latency investigations and added observability for logs, feature distributions, and pipeline health.
View DetailsEmail: sravankr1@outlook.com
LinkedIn: linkedin.com/in/sravankreddy1
GitHub: github.com/iosravan
HackerRank: hackerrank.com/profile/sravankreddych