MSc Data Science and Computational Intelligence

Jan, 2023 - Jan, 2024 Merit

Subjects

Data Science Machine Learning, Big Data Analysis and Data Visualization, Introduction to Statistical Methods for Data Science, Modeling and Optimization Under Uncertainty
Computing Information Retrieval, Data Management System, Artificial Neural Networks
Research Individual Research Project, Computing Research Project












Projects

  • Speech Recognition automatically by using Artificial Neural Network
  • Predicted Customer Churn in the Telecommunications Industry using Bayesian Networks and Classification
  • Salary Prediction of an Adult by using Machine Learning Algorithms
  • Analyzing Video Game Sales Data using PySpark and Tableau
  • Implemented Search Engine with Document Clustering
  • Conceptual Modelling and SQL Programing
  • EEG signals using Polynomial Regression

Research

  • Banks in England Trust by Utilizing Data Science and Computational Machine Learning Algorithms
  • Centralized & Decentralized Plastic Waste Recycling and Management Using BI & ML with big data analytics

Skills Obtained

  • Data Analysis: Tableau, Power BI, MS Excel, Machine Learning, Big Data Analyst, Dashboard Design Artificial Neural Network
  • Programming: Python, R (Language)
  • Database Management: Data Management Systems, MySQL
  • Research: Data Driven Research, Academic Writing, Research Methodologies
  • Soft Skills: Problem Solving, Communication, Analytical, Leading & Research

BSc Computer Science

Sep, 2017 - Sep, 2021 2:1

Subjects

Computing Basic Computing, Programming Fundamentals, OOP, Data Structures and Algorithms, Software Engineering, Operating Systems, Theory of Automata, Compiler Construction, ML, AI, Human-Computer Interaction, Information and Network Security, Mobile Application Development, Bioinformatics, Web Technology, Advanced Web Technology, CNN
Database Introduction to Database System
Mathematics Calculus I & II, Linear Algebra, Probability & Statistics, Differential Equations, Numerical Analysis
Business IT Entrepreneurship, Business Ethics, Principle of Marketing
Electronics & Hardware Basic Electronics, Digital Logic Design, Microprocessor & Assembly Language, Computer Architecture, Digital Image Processing

Projects

  • App Development: Food Station
  • Web & App Development: Dream Store
  • Canteen Management System
  • Calculator
  • ER Diagram
  • Implementing SQL Quries
  • Statistics/ Probability/ Algebra
  • Arduino logical operators
  • Digital Image Processing



Research

  • Operating System Multitasking Schedulers
  • Operating System Resource Management
  • Web and App Development: Dream Store
  • Sentimental Analysis of Twitter Data
  • Canteen Management System

Skills Obtained

  • Data Science: Data Storytelling, Supervised and Unsupervised Learning, Image Recognition, Algorithm Design, Complexity Analysis
  • Computing: Relational Database, SQL Queries , Data Integrity, System Process Management, Logic Circuit Design, System Architecture, Embedded Systems
  • Programming: Python, C, C++, MySQL, SQL, Assembly Language, Java, HTML, CSS, PHP, Django
  • Development: Full Stack Development,Mobile Application, Web Application Design, MATLAB
  • Business: Business Strategy, Planning & Execution, Resource Management, User Experience (UX), Customer Insights, Data Driven Marketing
  • Research: Data Driven Research, Academic Writing, Research Methodologies

Certifications

  • Data Analytics: 1 Foundations
    Fundamentals of Data
    Key Elements to Understand
    Getting Started with Data Project
    Data Importing, Exporting and Connections
    Started with Data Cleaning
    Applying Common Techniques for all Data Analysis
  • Data Analytics Part 2: Extending and Applying Core Knowledge
    Working with Business Data
    Building Dataset and Quries
    Chart Data anytime and anywhere
    Pivot Data anytime and anywhere
    Building in Power BI desktop
    Power Query Tips and tracks for Data Analysts
    Presenting Data in meetings