Reddy vari Sai Srujana Reddy — Data Scientist
Hi, I am Data Scientist with 2+ years of experience designing and deploying machine learning systems for fraud detection and risk analytics in high-scale financial environments. • Improved fraud model recall from 5% to 40% by redesigning model logic, engineering fraud-specific features, and optimizing decision thresholds • Built and deployed real-time and batch ML pipelines processing 25+ lakh transactions/day with low-latency inference • Hands-on experience with Random Forest, XGBoost, Logistic Regression, DBSCAN, Isolation Forest, Autoencoders, and PyTorch • Strong expertise in Python and SQL for EDA, feature engineering, and business-driven data analysis • Designed and automated ML workflows using Kubeflow for experimentation and performance comparison • Performed model monitoring, drift analysis (PSI), and explainability (SHAP) to ensure reliability and stakeholder trust • Collaborated closely with data engineering and fraud strategy teams to deliver production-ready solutions I focus on building scalable, interpretable, and high-impact ML systems that solve real-world problems under strict accuracy, latency, and reliability constraints. Open to Data Scientist / Machine Learning opportunities where advanced analytics drives measurable business outcomes.
Stackforce AI infers this person is a Data Scientist specializing in Fintech with a focus on machine learning and fraud detection.
Location: Bengaluru, Karnataka, India
Experience: 2 yrs 7 mos
Skills
- Machine Learning
- Fraud Detection
- Data Analysis
Career Highlights
- Enhanced fraud detection model recall significantly
- Built scalable ML pipelines for high transaction volumes
- Expert in Python and SQL for data analysis
Work Experience
Accenture in India
Data Scientist (2 yrs 7 mos)
Cognizant
DataAnalyticsandAIIntern (5 mos)
Education
Bachelor of Technology - BTech at Bharath University