Himanshu Ojha

Senior Data Scientist with 4+ years of experience designing, building, and deploying production-grade Machine Learning and Generative AI solutions for enterprise and high-impact business use cases. I specialize in the complete ML lifecycle—from problem framing and data engineering to model deployment, monitoring, and optimization.

I have delivered measurable business outcomes, including $2M+ annual cost savings, reduced fraud false positives, improved customer retention, and scalable real-time ML systems. My hands-on expertise includes Python, SQL, PyTorch, TensorFlow, NLP, time-series forecasting, cloud platforms (AWS, Azure, GCP), and MLOps best practices.

As a freelancer and consultant, I work closely with stakeholders to translate business problems into data-driven solutions, focusing on reliability, scalability, and ROI. I also build LLM-based applications such as semantic search, RAG pipelines, and evaluation frameworks for safe and cost-efficient GenAI deployment.

Open to remote, contract, and full-time opportunities.

Senior Data Scientist (Contract / Consulting) – Fortune 500 US Companies & International Clients (2022–2026). Designed, built, and deployed production-grade Machine Learning and Generative AI solutions across fraud detection, anomaly detection, customer segmentation, recommendation systems, and LLM-based applications. Led the full ML lifecycle including data engineering, feature engineering, model development, deployment, monitoring, and optimization, delivering measurable business impact such as reduced fraud false positives, improved customer retention, real-time analytics, and multi-million-dollar cost savings using Python, ML frameworks, cloud platforms, and MLOps best practices.

Bachelor of Engineering (Mechanical Engineering) – Sangam University (2012–2016). Completed professional certifications in Data Science, Machine Learning, Big Data Analytics, and Generative AI. Built a strong foundation in statistics, analytics, and engineering principles, complemented by continuous learning and hands-on application of advanced machine learning techniques to real-world business problems.