Dinesh Rajan R A
Data Scientist at Bradken | Data Science | LLM | Generative AI | Python | SQL | NLP | ML | Azure | AWS | R | RPA | Computer Vision | Open AI | Statistics | Analytics | Visualization | Databricks | Deep Learning |
- Role
- Product Performance Data Scientist at Bradken
- Location
- Coimbatore, TN, IN
- LinkedIn followers
- 500 followers
About Dinesh Rajan R A
Summary I 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.
Experience
Product Performance Data Scientist
Sep 2024 — Present · Coimbatore, IN
Education
Paavai Vidhyashram
Higher Secondary Education
2016 — 2017
Ramakrishna Mission Vivekananda College
B.Sc
2017 — 2020
Bharathiar University
M.Sc
2020 — 2022
Bharathidasan Matric HS School
SSLC
2014 — 2015
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