Naman Tenguria

About Naman Tenguria

Master’s student in Information Systems at SUNY Binghamton (Data Science Track) with a strong foundation in software development, data analytics, and machine learning. Skilled in Python, Java, and SQL, with experience building scalable backend systems using frameworks like Django and Spring. Adept at working with relational and NoSQL databases, and applying ML techniques to solve real-world problems.Driven by a passion for data-driven innovation and system design, and always eager to collaborate on impactful, technology-forward projects.

Experience

1. Machine Learning Engineer

   Ifga Labs

   Jan 2025 — Present

   Architected scalable Python-based data pipelines processing 100K+ high-frequency eye-tracking events using structured preprocessing workflows, reducing latency by 30% and enabling efficient ML model training and inference.• Engineered 25+ time-series features (velocity, dispersion, latency, fixation stability) using statistical signal processing techniques, improving classification model stability and predictive accuracy for risk-scoring applications.• Implemented automated data-quality validation frameworks using statistical anomaly detection (outliers, sequence gaps, distribution drift), improving training data reliability by 35% and reducing manual QA effort by 40%.• Developed modular, configuration-driven ML preprocessing components with Docker-based containerization, reducing experiment setup time by 25% and ensuring reproducibility across development environments.• Applied model evaluation techniques including cross-validation, precision-recall analysis, and performance monitoring to ensure generalization across distributed datasets.

Education

• Binghamton University

  Master of Science - MS, Information Technology