Reddy vari Sai Srujana Reddy

Data Scientist

Bengaluru, Karnataka, India2 yrs 7 mos experience
Highly Stable

Key Highlights

  • Enhanced fraud detection model recall significantly
  • Built scalable ML pipelines for high transaction volumes
  • Expert in Python and SQL for data analysis
Stackforce AI infers this person is a Data Scientist specializing in Fintech with a focus on machine learning and fraud detection.

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Skills

Core Skills

Machine LearningFraud DetectionData Analysis

Other Skills

Anomaly DetectionAutoencodersBig Data AnalyticsDBSCANData ScienceFeature EngineeringHadoopHiveIsolation ForestKubeflowLogistic RegressionNatural Language Processing (NLP)PyTorchPythonRandom Forest

About

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.

Experience

Accenture in india

Data Scientist

Aug 2023Present · 2 yrs 7 mos · Bengaluru, Karnataka, India · Hybrid

  • Data Scientist – Accenture
  • Designed, improved, and deployed machine learning models for real-time and batch fraud detection in large-scale financial systems
  • Re-engineered an existing fraud model and improved recall from 5% to 40% through feature engineering and threshold optimization
  • Built and evaluated models using Logistic Regression, Random Forest, XGBoost, and PyTorch-based neural networks
  • Worked with high-volume transactional data (25+ lakh transactions/day) ensuring low-latency, production-ready inference
  • Applied unsupervised learning techniques (DBSCAN, Isolation Forest, Autoencoders) for anomaly detection and merchant behavior analysis
  • Performed EDA, feature creation, and model evaluation using AUC, Precision, Recall, F1-score, and ROC
  • Automated experimentation and ML workflows using Kubeflow pipelines
  • Implemented model monitoring and drift analysis (PSI) and used SHAP for explainability and stakeholder trust
  • Collaborated with data engineering and fraud strategy teams to deliver scalable, production-ready ML solutions
PythonSQLLogistic RegressionRandom ForestXGBoostPyTorch+7

Cognizant

DataAnalyticsandAIIntern

Feb 2023Jul 2023 · 5 mos · Chennai, Tamil Nadu, India · On-site

  • Data Analytics & AI Intern – Cognizant (On-site)
  • Analyzed structured and semi-structured data using Python, SQL, Hadoop, and Hive
  • Conducted EDA and feature preparation to support analytical and ML tasks
  • Generated insights and summary reports to support business decision-making
  • Gained hands-on exposure to data analytics processes in an enterprise on-site setup
PythonSQLHadoopHiveData Analysis

Education

Bharath University

Bachelor of Technology - BTech — Computer science and engineering

Jan 2019Jan 2023

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