Valmiki Sarath Kumar
Online
Skills
About
I am Valmiki Sarath Kumar, a dedicated Junior Data Scientist with a strong academic foundation in Data Science and hands-on experience building intelligent, data-driven solutions....
I am Valmiki Sarath Kumar, a dedicated Junior Data Scientist with a strong academic foundation in Data Science and hands-on experience building intelligent, data-driven solutions. I hold an M.Sc. in Data Science from Reva University, where I developed core expertise in machine learning, deep learning, data analysis, and statistical modeling. My work focuses on understanding business problems, designing analytical workflows, and delivering insights that support data-backed decision-making. I am skilled in Python, SQL, Power BI, Scikit-Learn, TensorFlow, data visualization, exploratory data analysis, time-series forecasting, and automation.In my professional projects, I have worked on advanced AI systems involving Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), Agentic AI, and multi-agent workflows. I have developed and fine-tuned LLM-based solutions for data extraction, intelligent querying, conversational analytics, and knowledge automation. I’ve also built agent-based systems capable of task decomposition, tool integration, and autonomous decision-making to streamline business processes. In addition, I have contributed to projects such as fraud detection models, predictive analytics pipelines, a dynamic skill-mapping survey bot, and end-to-end business intelligence dashboards.Beyond model development, I focus on creating structured, scalable, and production-ready solutions by combining data engineering, machine learning, and modern AI frameworks. I enjoy transforming complex datasets into actionable insights and solving real business challenges with a mix of analytical thinking and creative problem-solving. With strong communication, adaptability, and collaboration skills, I aim to contribute meaningful value in every project. I am committed to continuous learning and staying aligned with the rapidly evolving AI/LLM ecosystem, ensuring that I can deliver modern, efficient, and impactful data solutions.
Valmiki Sarath Kumar
Online
Skills :
I am Valmiki Sarath Kumar, a dedicated Junior Data Scientist with a strong academic foundation in Data Science and hands-on experience building intelligent, data-driven solutions....
I am Valmiki Sarath Kumar, a dedicated Junior Data Scientist with a strong academic foundation in Data Science and hands-on experience building intelligent, data-driven solutions. I hold an M.Sc. in Data Science from Reva University, where I developed core expertise in machine learning, deep learning, data analysis, and statistical modeling. My work focuses on understanding business problems, designing analytical workflows, and delivering insights that support data-backed decision-making. I am skilled in Python, SQL, Power BI, Scikit-Learn, TensorFlow, data visualization, exploratory data analysis, time-series forecasting, and automation.In my professional projects, I have worked on advanced AI systems involving Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), Agentic AI, and multi-agent workflows. I have developed and fine-tuned LLM-based solutions for data extraction, intelligent querying, conversational analytics, and knowledge automation. I’ve also built agent-based systems capable of task decomposition, tool integration, and autonomous decision-making to streamline business processes. In addition, I have contributed to projects such as fraud detection models, predictive analytics pipelines, a dynamic skill-mapping survey bot, and end-to-end business intelligence dashboards.Beyond model development, I focus on creating structured, scalable, and production-ready solutions by combining data engineering, machine learning, and modern AI frameworks. I enjoy transforming complex datasets into actionable insights and solving real business challenges with a mix of analytical thinking and creative problem-solving. With strong communication, adaptability, and collaboration skills, I aim to contribute meaningful value in every project. I am committed to continuous learning and staying aligned with the rapidly evolving AI/LLM ecosystem, ensuring that I can deliver modern, efficient, and impactful data solutions.
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Courses by: Valmiki Sarath Kumar
AI and Machine Learning - Valmiki Sarath Kumar
📘 AI & Machine Learning – Full Course Content
Module 1: Introduction to Artificial Intelligence
What is AI? Types of AI
Applications of AI in real world
AI vs Machine Learning vs Deep Learning
Basic terminology: features, labels, training, testing
Module 2: Python for AI & ML
Python basics: variables, loops, functions
Numpy & Pandas for data handling
Matplotlib & Seaborn for visualization
Working with Jupyter Notebook
Practice exercises
Module 3: Data Preprocessing & Exploratory Data Analysis
Handling missing data
Encoding categorical data
Feature scaling (Standardization, Normalization)
Outlier detection
Correlation analysis, distribution analysis
Data cleaning case study
Module 4: Machine Learning Fundamentals
Supervised Learning
Linear Regression
Logistic Regression
Decision Trees
Random Forest
K-Nearest Neighbors (KNN)
Support Vector Machines (SVM)
Unsupervised Learning
K-Means clustering
Hierarchical clustering
PCA (Dimensionality Reduction)
Evaluation Metrics
Accuracy
Precision
Recall
F1-score
Confusion Matrix
ROC–AUC
Module 5: Deep Learning Essentials
Neural Networks explained
Activation functions
Backpropagation
Introduction to TensorFlow / Keras
Building a simple Neural Network
Module 6: Convolutional Neural Networks (CNN)
Convolutions, pooling, filters
Image classification
Data augmentation
Building CNN model
Module 7: Natural Language Processing (NLP)
Text preprocessing (tokenization, stemming, stopwords)
Bag-of-Words, TF-IDF
Word embeddings
Sentiment analysis project
Module 8: Introduction to Large Language Models (LLMs)
What are LLMs (GPT, LLaMA, Mistral)?
Tokenization, embeddings
Prompt engineering basics
LLM real-world applications
LLMs, RAG & Agentic AI - Valmiki Sarath Kumar
📘 LLMs, RAG & Agentic AI – Complete Course Content
Module 1: Introduction to Large Language Models (LLMs)
What are LLMs?
Understanding GPT, LLaMA, Mistral & other modern models
How LLMs are trained (tokens, embeddings, attention mechanism)
Strengths and limitations of LLMs
Prompt Engineering basics
Real-world use cases of LLMs
Module 2: Retrieval-Augmented Generation (RAG)
Need for RAG and how it fixes LLM hallucinations
How RAG works: Retrieve → Enhance → Generate
Embeddings overview
Chunking strategies and preprocessing
Vector databases (FAISS, Chroma, Pinecone)
Building a knowledge base from PDFs, websites, documents
Creating embeddings and storing vectors
Building a complete RAG pipeline
Testing RAG responses
Business applications (customer support, policy search, enterprise bots)
