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.
FindMyGuru is a tutor discovery platform that helps students find and connect with experienced tutors and institutes across a wide range of subjects and skills. Students can explore tutor profiles, compare expertise, and contact tutors directly for online or in-person learning.FindMyGuru facilitates discovery and connections between students and tutors or institutes. All classes and learning arrangements are handled directly between students and the respective tutors or institutes
Courses by Valmiki Sarath Kumar
Online
29 Hour
English, Telugu, Kannada
Kalyan Nagar, Bangalore, Kalyan Nagar
500 INR
Week Days / Weekends
📘 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