Gaurav Rajoriya

Results-driven Data Scientist with a Master’s degree from IIT and a strong foundation in machine learning, AI, and data analytics. Experienced in collaborating with the Google Ads marketing team, where I designed global dashboards that influenced multimillion-dollar budgets and event strategies. Proficient in Python, SQL, TensorFlow, NLP, and data visualization, with hands-on expertise in computer vision and deep learning. A published researcher, recognized for applying advanced modeling techniques to solve complex business and engineering problems. Driven to leverage technical expertise and business acumen to deliver data-driven solutions that accelerate decision-making and fuel business growth.

• Deep Learning Specialization (hyperparameter tuning, CNN, RNN, NLP, TensorFlow)
• Vertex AI Studio and MLOps Specialization (model tuning, prompt engineering)
• Generative AI with LLM and Prompt Engineering for Developers

• Thermal conductivity estimation of high solid loading particulate composites: A numerical approach, Gaurav Rajoriya, Chaitanya Vijay, P.A. Ramakrishna, International Journal of Thermal Sciences, 127, 05/01/18, 252-265
• Numerical Method to Estimate Thermal Conductivity of a Model Composite Propellant, Gaurav Rajoriya, Chaitanya Vijay, P.A. Ramakrishna, AIAA Propulsion and Energy Forum and Exposition, 07/01/16, Salt Lake City, Utah, USA

Python (Pandas, NumPy, scikit-learn, Django, Flask), SQL, C++, MATLAB, FORTRAN, APIs, TensorFlow, Keras, Natural Language Processing, OpenCV, Computer Vision, MLOps, Generative AI, Matplotlib, Seaborn, Google Data Studio, MATLAB, Predictive modeling, Analytics and research