Learning Curve

Learning Horizon

Focus AreaIssuerYearExpiryLink 
AWS Solutions Architect - AssociateAWSDec 2022Dec 2025Link 
Design ThinkingPDA GroupJul 2022 Link 
AWS Cloud PractitionerAWSDec 2021Dec 2024Link 
AWS Cloud Practitioner EssentialsAWSOct 2021Oct 2024Link 
Applied AI EssentialsLiveAI - EUApr 2021 Link 
Data VisualizationKaggleJun 2020 Link 
Intermediate Machine LearningKaggleJun 2020 Link 
Introduction to SQLKaggleJun 2020 Link 
PandasKaggleJun 2020 Link 
Introduction to Machine LearningKaggleMay 2020 Link 
PythonKaggleMay 2020 Link 
Bayesian StatisticsCourseraDec 2019 Link 
Deutsch als Fremdsprache A2.1University of KoblenzJul 2019   
Knowledge Engineering with Semantic WebHasso PlatnerJul 2019 Link 
Deutsch als Fremdsprache A1.1University of KoblenzFeb 2019   
German Language BasicsDuoLingoSep 2018   
Data Science: R BasicsDataCampAug 2018 Link 
Introduction to Python ProgrammingUdemyJul 2018 Link 
Programming with Python: Hands OnUdemyJul 2018 Link 
Python for beginnersUdemyJul 2018 Link 
Computer Science for Business ProfessionalsEdXMay 2018 Link 
IELTS English LanguageUdemyAug 2017 Link 
AB Initio FoundationInfosysJun 2016 Link 
Unix AdministrationBrainbench/InfosysJan 2016   
HTML5MicrosoftJan 2015   
Pneumatics and HydraulicsIndo German Tool Room  Link 
PLC, SCADA, HMI and AC drivesAutosys2013 Link 
C ProgrammingUniversal Informatics2013 Link 
Bhartiya Sanskriti Gyan ParikshaGayatri Parivar2006   

Industry Training

  • Infosys Limited, Mysore - India: Sept 2014 - Dec 2014

  • Foundation Program Training
  • Final Average (71%)

  • Object oriented programming using JAVA
  • Implementing database using MS SQL server
  • Software engineering
  • Integration of programming and software engineering
  • Operating systems
  • User interface and web technologies
  • Computational Problem Solving
  • Programming using CSharp (C#)
  • Enterprise Applications Development and Maintenance
  • Developing web applications using ASP.NET and ADO.NET
  • Presentation Skills Hands On
  • Business Communication

Teaching

Positions

  • Tutor/Teaching Assistant - Web Information Retrieval - Apr - Sep 2022
  • Student Assistant - Introduction to Web Science - Oct 2021 - Feb 2022
  • Tutor/Teaching Assistant - Web Information Retrieval - Apr - Sep 2021
  • Student Assistant - Introduction to Web Science - Oct 2020 - Feb 2021

Responsibilities:

  • Evaluate the performance of students by evaluating assignments and projects
  • Prepare assignments, projects and exams to assess performance of students
  • Teach different topics using videos and slides, explaining in online/classroom sessions

Studying - Coursework

Masters of Science

  • Introduction to Web Science
  • Engineering Web and Data Intensive Systems
  • Digital Consumer Behavior
  • Machine Learning
  • Entrepreneurship

  • Network Theory and Dynamic Systems
  • Semantic Web
  • Web Information Retrieval
  • Computational Social Science

  • Introduction to Data Science
  • Research works
  • Training in team and leadership

  • Big Data Processing and Applications
  • Internet of Things
  • Business Process Modeling
  • ICT and Behavior Change

Bachelor of Engineering

Semester 8

  • Optical Instruments and Sensors
  • Digital Control Systems
  • Embedded Systems
  • Digital Image Processing

Semester 7

  • VLSI Design
  • Process Control
  • Advanced Microprocessor and Microcontrollers
  • Data Acquisition Systems
  • Total Quality Management

Semester 6

  • Data Communication and Computer Networks
  • VLSI Technology
  • Digital Signal Processing
  • Medical Instrumentation
  • Control systems

Semester 5

  • Microprocessors & Microcontrollers
  • Operating System
  • Communication Engineering
  • Power Electronics
  • Analytical & Industrial Instrumentation
  • MatLab

Semester 4

  • Mathematics III
  • Signals and Systems
  • Analog Electronics
  • Electronics Circuits
  • Mechanical Measurement
  • Software Lab-I

Semester 3

  • Mathematics II
  • Data Structures and algorithms
  • Digital Circuits and Systems
  • Measurement Science & Techniques
  • Network Analysis
  • Java (Computer Language)

Semester 2

  • Engineering Physics
  • Energy, Environment, Ecology & Society
  • Basic Mechanical Engineering
  • Basic Civil Engineering & Engineering Mechanics
  • Basic Computer Engineering
  • Language Lab & Seminars

Semester 1

  • Engineering Chemistry
  • Engineering Mathematics – I
  • Communication Skills
  • Basic Electrical & Electronics Engineering
  • Engineering Graphics
  • Work Shop Practice