Professional Overview
Results-driven Senior Lead Data Scientist with over 10 years of experience in Machine Learning, Data Science, and Data Engineering. Skilled in designing and deploying AI-driven solutions with expertise in MLOps, NLP, Generative AI, and Big Data technologies. Proficient in Python, Scala, Apache Spark, and Microsoft Azure, with a proven track record of leading initiatives in trade surveillance, behavioral analytics, and anomaly detection.Experienced in building scalable ML systems, optimizing data pipelines, and implementing MLOps best practices. Successfully developed data security solutions, automated performance tuning of big data workloads, and revamped legacy codebases to enhance efficiency and compliance.Certified in Azure AI, Databricks, and TensorFlow, with research contributions in Computational Narratology and AI-driven Competency Mapping. Passionate about driving innovation, mentoring teams, and leveraging AI for impactful business solutions.
Areas of Expertise
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
MLOps & AI Infrastructure
Architect scalable ML infrastructure — CI/CD for ML, model versioning, experiment tracking, monitoring, and cloud deployment on AWS, GCP, or Azure.
