Dinesh Rajan R A Email & Phone Number

SummaryI am a dedicated Data Scientist with extensive experience in predictive modeling, data processing, and data mining algorithms. Passionate about deep reinforcement learning, I thrive on solving complex business problems using cutting-edge technologies.Key Expertise:Data Management & Security: Proficient in handling complex and confidential data, ensuring secure transfer and processing through top industry tools.Fullstack Data Science: Skilled in developing end-to-end applications encompassing frontend, middleware APIs, and backend, leveraging Azure cloud services.Technical Proficiency:GenAI Technologies:OpenAI, Azure OpenAI, LLAMA2, Mistral, Gemini, Rag, Advanced RAG, Hybrid search with BM25.Vector Databases:FAISS, Chroma, Cognitive search, Pinecone.Frameworks:Langchain, LLamalndex.Prompt Engineering: Standard, Role-based, One-shot & Few-shot prompts, Chain of Thought, Prompt chaining, Response structured prompting.Azure Services: Azure AI, Azure OpenAI, Cognitive search, Prompt flow, Azure Databricks, Form recognizer, Azure trigger function, Blob, Azure Data Lake, Web app services, VM, Azure Authentication (MSI).Machine Learning: Linear Regression, Logistic Regression, Decision Tree, Random Forest, SVM, Naive Bayes, KNN, XGBoost, Adaboost.Clustering: Kmeans, DBSCAN, Hierarchical (Agglomerative and Divisive clustering).Deep Learning/CV: ANN, CNN, RNN, Faster RCNN, LSTM, Bidirectional LSTM, VIT, YOLO, DETER, Deductron.NLP: Data Preprocessing, Data cleaning, Vectorization techniques, Text classification (Bert, distilbert, finbert, LSTM, Bi-LSTM), Text summarization (t5, falcon, Bart), Text Generation, NER, Sentence/contextual Similarity search, QnA, Table QnA.Chatbot Development: RASA, Microsoft Bot Framework.Programming & Database:Languages: Python, R Programming.Databases: SQL, MS SQL Server, MongoDB.Others:Git, Agile methodologies, RPA, Data Visualization, Data Preprocessing & Modelling with Python, Statistics.