Ajay Mukund S Python, Machine Learning, Deep Learning, NLP & AI
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Ajay Mukund S is currently pursuing his Ph.D. in Computer Science from Anna University, Chennai, specializing in Machine Learning, Natural Language Processing and Artificial Intelligence. His academic background equip him with the necessary theoretical foundation to guide students on various Projects and Internships. He did his Bachelor of Computer Applications and Masters in Data Science and Computing from Sri Sathya Sai Institute of
Higher Learning, Muddenahalli, Karnataka. He has cleared UGC - NET (Jun 2019) Computer Applications, UGC - NET - JRF (Dec 2019) Computer Applications with a percentile score of 99.57 and GATE - Computer Science and Information Technology (2020) and GATE - Data Science and Artificial Intelligence (2024) examinations.He went on to do his Post Graduate Program in Data Science from the esteemed International Institute of Business Management (IIBM), Delhi.

Along with many NPTEL Certifications, he is also a Microsoft Azure Certified Professional and an IBM Certified Data Scientist. He has been called forth as Keynote Speaker at various educational institutions which include Faculty Development Programmes, Skill Enhancement Courses, Workshops, Webinars, Seminars and One Credit Courses. He is currently a Chief Researcher at OrbitX India Aerospace Pvt. Ltd. where he works on the Atal Yaan - Reusable Launch Vehicle Project in collaboration with ISRO. He is also a Guest Lecturer at Sri Sathya Sai Institute of Higher Learning, Acharya Institutes (Acharya School of Design), College of Fine Arts - Karnataka Chitrakala Parishad and Excel Engineering College, Erode. He is currently a recipient of the esteemed Junior Research Fellowship Award for his excellence in Academics funded by the Central Government, India. Recently in the year 2022, he was conferred the International Best Researcher of the Year Award by the International Institute of Organized Research. He is also an Expert Technical Reviewer at various IEEE Conferences.

Subjects

  • Python Grade 6-Doctorate/PhD

  • Machine Learning Beginner-Expert

  • Deep Learning Beginner-Expert

  • Natural Language Processing Beginner-Expert

  • Generative AI Beginner-Expert


Experience

  • Guest Lecturer [SEC] - Artificial Intelligence (May, 2024Present) at College of fine arts ( Karnataka chitrakala parishath) Bangalore
  • Visiting Faculty [OCC] - Tensorflow and Hadoop Programming (Apr, 2023Present) at Excel Engineering College, Namakkal
  • Guest Faculty [SEC] - Microsoft Azure, Microsoft PowerBI, Artificial Intelligence and Cybersecurity (Jan, 2023Present) at Acharya Institutes, Bangalore, India
  • Assistant Lab Tutor - CS 6101, CS 6111, CP 5261, CS 6301, CS 6106, CP 3161, CS 6110 (Nov, 2022Present) at College of Engineering, Guindy (Anna University)
    CS 6101 - C Programming - 1st year B.E. Computer Science and Engineering
    CS 6111 - Computer Networks - 2nd year B.E. Computer Science and Engineering
    CP 5261 - Machine Learning - 1st year M.E. Computer Science and Engineering
    CS 6301 - Machine Learning - 3rd year B.E. Computer Science and Engineering
    CS 6106 - Database Management System - 2nd year B.E. Computer Science and Engineering
    CP 3161 - Advanced Data Structures and Algorithms - 1st year M.E. Computer Science and Engineering
    CS 6110 - Object Oriented Analysis and Design - 3rd year B.E. Computer Science and Engineering
  • Founder and CEO (Nov, 2022Present) at Data Science Academia, Chennai
    Data Science Academia - The Data Science Wing of Sai Chamundeeswari Academy, is a registered MSME with the Ministry of Micro, Small & Medium Enterprises, Government of India, Registration Number: UDYAM-TN-02-0166477. Data Science Academia is also a registered Internship Provider at AICTE (All India Council for Technical Education) Internships.
  • Teaching Faculty - MDSC 106, MDSC 303, MDSC 304 & MDSC 201 (Aug, 2022Present) at Sri Sathya Sai Institute of Higher Learning,Prasanthi Nilayam
    Data Visualization Lab and Theory to 1st year (MDSC 106) and 2nd year (MDSC 303) M.Sc., Data Science and Computing Students.
    Hadoop Programming Lab and Theory to 2nd year (MDSC 304) M.Sc., Data Science and Computing Students.
    Regression Analysis Lab and Theory to 1st year (MDSC 201) M.Sc., Data Science and Computing Students.
    Ongoing Optimization Techniques to M.Sc., Data Science and Computing Students.

Education

  • Post Graduate Diploma in Computer Applications (PGDCA) (Jan, 2024now) from Indira Gandhi National Open University, New Delhi
  • Ph.D in Data Science (Oct, 2021now) from Anna University
  • Post Graduate Program (PGP) in Data Science (Nov, 2020Apr, 2021) from IIBM Institute of Business management
  • Master of Sciences in Data Science and Computing (Jun, 2018Sep, 2020) from Sri Sathya Sai Institute of Higher Learningscored 8.3 CGPA
  • Bachelor of Computer Applications (Jun, 2015Apr, 2018) from Sri Sathya Sai Institute of Higher Learningscored 7.9 CGPA

Fee details

    8002,000/hour (US$9.3623.39/hour)

    Charges may differ based on Content delivered, timings of classes and based on whether the classes are held online or offline


Courses offered

  • Python for Data Science

    • 7500
    • Duration: 4 Weeks
    • Delivery mode: Online
    • Group size: 6 - 10
    • Instruction language: English, Tamil
    • Certificate provided: Yes
    COURSE OVERVIEW & PURPOSE
    Embark on a transformative journey into the world of Data Science with our comprehensive one-month Python for Data Science course. Designed for both beginners and professionals, this course equips you with the essential skills and knowledge to excel in the field of Data Science.

    COURSE AGENDA
    ❖ Week 1 : Introduction to Python
    ➢ Master Python syntax and essential programming concepts.
    ❖ Week 2 : Data Manipulation with Pandas
    ➢ Dive into data manipulation with Pandas, the go-to library for data science.
    ❖ Week 3 : Data Visualization with Matplotlib and Seaborn
    ➢ Discover the art of data visualization to uncover insights and tell
    compelling data stories.
    ❖ Week 4 : Basic Statistics and Exploratory Data Analysis (EDA)
    ➢ Grasp the basics of statistics essential for data science.
  • SQL for Data Analytics

    • 7500
    • Duration: 4 Weeks
    • Delivery mode: Online
    • Group size: 6 - 10
    • Instruction language: Tamil, English
    • Certificate provided: Yes
    COURSE OVERVIEW & PURPOSE
    Dive into the world of SQL with our intensive one-month SQL for Data Analysis course. Perfect for aspiring data analysts and professionals looking to enhance their database skills, this course will teach you how to efficiently manage and analyze data to drive business insights.

    COURSE AGENDA
    ❖ Week 1 : Introduction to SQL and Databases
    ➢ Learn the fundamentals of SQL and database management.
    ❖ Week 2 : Advanced SQL Queries
    ➢ Master complex SQL queries for deeper data insights.
    ❖ Week 3 : Data Aggregation and Reporting
    ➢ Harness the power of data aggregation for comprehensive analysis.
    ❖ Week 4 : SQL for Data Analytics
    ➢ Apply SQL techniques to real-world data analytics problems.
  • Statistical Analysis with R

    • 7500
    • Duration: 4 Weeks
    • Delivery mode: Online
    • Group size: 6 - 10
    • Instruction language: Tamil, English
    • Certificate provided: Yes
    COURSE OVERVIEW & PURPOSE
    Unlock the potential of statistical analysis with our comprehensive one-month Statistical Analysis with R course. Ideal for beginners and professionals alike, this course will equip you with the skills to perform sophisticated data analysis, leveraging the power of R for insightful and impactful data-driven decisions.

    COURSE AGENDA
    ❖ Week 1 : Introduction to R
    ➢ Get started with R programming and RStudio.
    ❖ Week 2 : Data Manipulation with dplyr and tidyr
    ➢ Master data cleaning and transformation techniques
    ❖ Week 3 : Data Visualization with ggplot2
    ➢ Create stunning and informative visualizations with ggplot2.
    ❖ Week 4 : Statistical Analysis
    ➢ Perform descriptive statistics to summarize data.
  • Business Analytics with Excel

    • 7500
    • Duration: 4 Weeks
    • Delivery mode: Online
    • Group size: 6 - 10
    • Instruction language: Tamil, English
    • Certificate provided: Yes
    COURSE OVERVIEW & PURPOSE
    Unlock the potential of Excel for Business Analytics with our intensive one-month course. This program is tailored for professionals and aspiring analysts who aim to leverage Excel’s powerful features for Data Analysis, Visualization, and Decision- making.

    COURSE AGENDA
    ❖ Week 1 : Introduction to Business Analytics
    ➢ Understand the fundamentals of business analytics and its significance.
    ❖ Week 2 : Data Analysis and Visualization
    ➢ Master the use of pivot tables for data summarization and analysis.
    ❖ Week 3 : Advanced Excel Functions and Tools
    ➢ Dive into advanced Excel functions and formulas for complex data analysis.
    ❖ Week 4 : Case Studies and Practical Applications
    ➢ Apply your knowledge to real-world business case studies
  • Data Visualization with Tableau

    • 7500
    • Duration: 4 Weeks
    • Delivery mode: Online
    • Group size: 6 - 10
    • Instruction language: Tamil, English
    • Certificate provided: Yes
    COURSE OVERVIEW & PURPOSE
    Unlock the power of Data Visualization with our immersive one-month Data Visualization with Tableau course. Perfect for aspiring data analysts and professionals looking to enhance their visualization skills, this course will teach you how to create compelling, interactive visualizations that drive business decisions.

    COURSE AGENDA
    ❖ Week 1 : Introduction to Tableau
    ➢ Get acquainted with Tableau's user-friendly interface.
    ❖ Week 2 : Data Connections and Transformation
    ➢ Learn to connect Tableau to various data sources.
    ❖ Week 3 : Creating and Customizing Visualizations
    ➢ Create a variety of visualizations including charts, graphs, and maps.
    ❖ Week 4 : Dashboards and Stories
    ➢ Design and create interactive dashboards
  • Data Ethics and Privacy

    • 7500
    • Duration: 4 Weeks
    • Delivery mode: Online
    • Group size: 6 - 10
    • Instruction language: Tamil, English
    • Certificate provided: Yes
    COURSE OVERVIEW & PURPOSE
    In the evolving landscape of Data Science, understanding the ethical implications and privacy concerns is paramount. Our one-month course on Data Ethics and Privacy equips professionals and data enthusiasts with the knowledge and tools to handle data responsibly and comply with global regulations.

    COURSE AGENDA
    ❖ Week 1 : Introduction to Data Ethics
    ➢ Explore the fundamentals of data ethics and its significance in today’s world.
    ❖ Week 2 : Privacy Laws and Regulations
    ➢ Learn about major privacy laws and regulations such as GDPR and CCPA.
    ❖ Week 3 : Ethical Data Handling Practices
    ➢ Master techniques for data anonymization and pseudonymization.
    ❖ Week 4 : Case Studies and Best Practices
    ➢ Analyze real-world examples of data ethics and privacy challenges.
  • Data Visualization with PowerBI

    • 10000
    • Duration: 4 Weeks
    • Delivery mode: Online
    • Group size: 5
    • Instruction language: Tamil, English
    • Certificate provided: Yes
    COURSE OVERVIEW & PURPOSE
    In the realm of Data Science, the ability to visualize data effectively is crucial. Our one-month course on Data Visualization with Power BI empowers you to create dynamic, interactive visualizations that bring data to life. Learn to harness the full potential of Power BI to make data-driven decisions with confidence.

    COURSE AGENDA
    ❖ Week 1 : Introduction to Power BI
    ➢ Get acquainted with the Power BI interface and its core features.
    ❖ Week 2 : Data Import and Transformation
    ➢ Learn to connect Power BI to various data sources including databases, Excel files, and web services.
    ❖ Week 3 : Creating and Customizing Visualizations
    ➢ Explore the extensive library of visualizations available in Power BI.
    ❖ Week 4 : Advanced Features and Dashboards
    ➢ Dive into advanced features such as Data Analysis Expressions (DAX) for complex calculations.
  • Exploratory Data Analytics (EDA)

    • 10000
    • Duration: 4 Weeks
    • Delivery mode: Online
    • Group size: 5
    • Instruction language: Tamil, English
    • Certificate provided: Yes
    COURSE OVERVIEW & PURPOSE
    Dive into the essential process of Data Exploration with our intensive one-month Exploratory Data Analysis (EDA) course. Designed for aspiring Data Scientists and Analysts, this course will equip you with the skills to clean, visualize, and analyze data effectively, uncovering hidden patterns and insights.

    COURSE AGENDA
    ❖ Week 1 : Introduction to EDA
    ➢ Understand the importance of EDA in data science.
    ❖ Week 2 : Data Cleaning and Preparation
    ➢ Master techniques for handling missing values and outliers
    ❖ Week 3 : Data Visualization Techniques
    ➢ Create insightful and effective plots and graphs
    ❖ Week 4 : Advanced EDA Techniques
    ➢ Perform multivariate analysis to understand complex relationships.
  • Data Engineering with Python

    • 10000
    • Duration: 4 Weeks
    • Delivery mode: Online
    • Group size: 5
    • Instruction language: Tamil, English
    • Certificate provided: Yes
    COURSE OVERVIEW & PURPOSE
    Join our intensive one-month Data Engineering with Python course and acquire the skills necessary to design, build, and manage robust data pipelines. This course is ideal for aspiring data engineers and professionals seeking to enhance their technical capabilities in Data Engineering using Python.

    COURSE AGENDA
    ❖ Week 1 : Introduction to Data Engineering
    ➢ Understand the fundamentals of data engineering and its significance.
    ❖ Week 2 : ETL Processes and Pipelines
    ➢ Dive into the concepts of Extract, Transform, Load (ETL) operations.
    ❖ Week 3 : Data Storage Solutions
    ➢ Understand various data storage options, including relational and NoSQL databases.
    ❖ Week 4 : Data Pipeline Orchestration
    ➢ Master the use of Apache Airflow or similar tools for workflow management.
  • Introduction to Machine Learning

    • 12500
    • Duration: 4 Weeks
    • Delivery mode: Online
    • Group size: 3
    • Instruction language: Tamil, English
    • Certificate provided: Yes
    COURSE OVERVIEW & PURPOSE
    Step into the world of Machine Learning with our comprehensive one-month Introduction to Machine Learning course. Designed for both beginners and professionals, this course will equip you with the essential skills to understand, build, and evaluate Machine Learning models, setting a strong foundation for a successful
    career in Data Science.

    COURSE AGENDA
    ❖ Week 1 : Fundamentals of Machine Learning
    ➢ Grasp the core concepts of Machine Learning.
    ❖ Week 2 : Supervised Learning
    ➢ Dive into supervised learning techniques.
    ❖ Week 3 : Unsupervised Learning
    ➢ Discover the world of unsupervised learning.
    ❖ Week 4 : Model Evaluation and Hyperparameter Tuning
    ➢ Master the art of model evaluation.
  • Fundamentals of Deep Learning

    • 12500
    • Duration: 4 Weeks
    • Delivery mode: Online
    • Group size: 3
    • Instruction language: Tamil, English
    • Certificate provided: Yes
    COURSE OVERVIEW & PURPOSE
    Embark on a transformative journey into the world of Deep Learning with our comprehensive one-month Fundamentals of Deep Learning course. Perfect for beginners and professionals alike, this course will provide you with a solid foundation in Deep Learning concepts and techniques, equipping you with the skills to build and implement powerful Neural Networks.

    COURSE AGENDA
    ❖ Week 1 : Introduction to Deep Learning and Neural Networks
    ➢ Discover the basics of Deep Learning and its significance in Data Science.
    ❖ Week 2 : Building Neural Networks with TensorFlow/Keras
    ➢ Learn to implement basic neural networks using TensorFlow and Keras.
    ❖ Week 3 : Convolutional Neural Networks (CNNs)
    ➢ Dive into CNN concepts and architecture.
    ❖ Week 4 : Recurrent Neural Networks (RNNs) and LSTM
    ➢ Understand sequence modeling and time series prediction.
  • Time Series Forecasting and Analysis

    • 12500
    • Duration: 4 Weeks
    • Delivery mode: Online
    • Group size: 3
    • Instruction language: Tamil, English
    • Certificate provided: Yes
    COURSE OVERVIEW & PURPOSE
    Delve into the world of Time Series Analysis and Forecasting with our comprehensive one-month course. This program is designed for data professionals and enthusiasts who aim to master the techniques and tools needed to analyze temporal data and make accurate forecasts.

    COURSE AGENDA
    ❖ Week 1 : Introduction to Time Series Analysis
    ➢ Understand the fundamental concepts of time series analysis.
    ❖ Week 2 : Time Series Decomposition and Smoothing
    ➢ Learn how to decompose time series data into trend, seasonality, and noise.
    ❖ Week 3 : ARIMA and Exponential Smoothing Models
    ➢ Understand the principles of ARIMA (Autoregressive Integrated Moving Average) models.
    ❖ Week 4 : Advanced Forecasting Techniques
    ➢ Discover advanced forecasting methods using machine learning approaches.
  • Natural Language Processing with Python

    • 12500
    • Duration: 4 Weeks
    • Delivery mode: Online
    • Group size: 3
    • Instruction language: Tamil, English
    • Certificate provided: Yes
    COURSE OVERVIEW & PURPOSE
    Embark on a journey through the fascinating world of Natural Language Processing (NLP) with our comprehensive one-month course. This program is designed for data enthusiasts and professionals looking to master NLP techniques and tools using Python.

    COURSE AGENDA
    ❖ Week 1 : Introduction to NLP
    ➢ Learn the fundamentals of NLP and its real-world applications.
    ❖ Week 2 : Text Preprocessing Techniques
    ➢ Understand the importance of text preprocessing in NLP.
    ❖ Week 3 : NLP Models and Algorithms
    ➢ Dive into various NLP models and their applications.
    ❖ Week 4 : Advanced NLP and Applications
    ➢ Explore advanced NLP techniques and models.
  • Big Data with Hadoop and Spark

    • 12500
    • Duration: 4 Weeks
    • Delivery mode: Online
    • Group size: 3
    • Instruction language: Tamil, English
    • Certificate provided: Yes
    COURSE OVERVIEW & PURPOSE
    Step into the world of Big Data with our comprehensive one-month Big Data with Hadoop and Spark course. This course is designed for data professionals and enthusiasts looking to master the skills needed to process and analyze large data sets using the powerful Hadoop and Spark frameworks.

    COURSE AGENDA
    ❖ Week 1 :Introduction to Big Data and Hadoop
    ➢ Learn the fundamentals of Big Data and its significance in today's world.
    ❖ Week 2 : Hadoop Ecosystem and HDFS
    ➢ Dive into the Hadoop ecosystem and its key components.
    ❖ Week 3 : Introduction to Apache Spark
    ➢ Understand the basics of Apache Spark and its advantages over Hadoop MapReduce.
    ❖ Week 4 : Spark Streaming and Advanced Topics
    ➢ Master real-time data processing with Spark Streaming.
  • Cloud Computing for Data Science

    • 12500
    • Duration: 4 Weeks
    • Delivery mode: Online
    • Group size: 3
    • Instruction language: Tamil, English
    • Certificate provided: Yes
    COURSE OVERVIEW & PURPOSE
    In today’s data-driven world, cloud computing is essential for scalable, efficient, and powerful data processing and analysis. Our one-month course on Cloud Computing for Data Science is designed to provide you with the skills to leverage cloud platforms for Data Storage, Processing, and Machine Learning.

    COURSE AGENDA
    ❖ Week 1 : Introduction to Cloud Computing
    ➢ Understand the fundamentals of cloud computing and its significance in data science.
    ❖ Week 2 : Cloud Platforms and Services
    ➢ Learn about different cloud service models: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS).
    ❖ Week 3 : Data Storage and Processing on the Cloud
    ➢ Discover cloud storage solutions such as Amazon S3, Azure Blob Storage, and Google Cloud Storage
    ❖ Week 4 : Cloud-Based Machine Learning
    ➢ Get introduced to cloud-based machine learning services like AWS SageMaker, Azure ML, and Google AI Platform.

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