Rohan S Email & Phone Number

An engineering graduate with completion of Post Graduate Program in Data Science and Engineering possessing key skills in Data Analytics, Predictive Analytics, deriving insights from raw data, Visualization, Data Structures & Algorithms, conceptual understanding of Programming Paradigms, DBMS, Big Data, SQL, NoSQL, GraphQL & Vector Databases, APIs, Git, SDLC, Agile & CRISP-DM methodologies, basics of System Design, Backend Development, Mathematical foundation and hands-on-experience on building Machine Learning & Deep Learning models and Pipeline, understanding of Neural Network Architecture, Machine Learning Deployment (MLOps), Automation using CI/CD Pipeline, Statistical Analysis, Hypothesis & A/B Testing, Regular Expressions, building Data Pipeline, Data Extraction, Data Engineering, Data Warehousing, Data Preprocessing, Feature Engineering, Time Series Forecasting, Natural Language Processing, Prompt Engineering and Generative AI (LLM).• Tech Stack : Python, SQL, AWS, GCP, Tableau, Advanced Excel, Databricks, Apache Spark, Hadoop Ecosystem, MLflow, ONXX, HTML, CSS, JavaScript• Machine Learning : Supervised, Unsupervised, Reinforcement Learning• Deep Learning Techniques : Transfer Learning, Federated Learning• Generative AI : RAG, GAN, Auto Encoders, LLM, Transformers• Databases : MySQL, MongoDB, Neo4j, ChromaDB• Data Analytics : Predictive Analytics, Time Series Forecasting, Natural Language Processing • Libraries/Framework : Pandas, Numpy, Matplotlib, Seaborn, Plotly, Scikit-learn, Tensorflow, Keras, spaCy, NLTK, Scipy, Statsmodels, Pyspark, Langchain, DsPy, Flask, FastAPI, Django, React, Streamlit, GradioI have a very keen interest in backend development building intelligent AI systems, evaluating, optimising, integrating & deploying them into software, Predictive Analytics, Data Processing & Management and Visual Analytics.