Muhammad Muneeb Baig

Muhammad Muneeb Baig - [Naval Anchorage, Islamabad] | [-] | [https://www.linkedin.com/in/muneeb-baig/] |- OBJECTIVE Dedicated and insightful Software Engineer, eager to secure a challenging and rewarding position, where I can apply my academic knowledge, technical skills, and passion for technology to real world projects and gain hands-on experience in the field. EDUCATION FAST NUCES, Islamabad [08/2024- Present] • Master of Science degree in Computer Science [CGPA:3.50] • Relevant Coursework: Advance analysis of algorithms, Generative AI, Advance Operating system, Theory of Programming languages, Applied Programming, Research Methodolgy. COMSATS University Islamabad. [August 2022] • Bachelor of Science degree in Computer Science [CGPA: 3.0/4.0] • Relevant Coursework: Artificial Intelligence, Machine Learning, Android, Web dev, DBMS, Cloud, OOP, Visual Programing, Data structure and Algo, Software Engineering, CCNA. PROFESSIONAL EXPERIENCE FAST NUCES Islamabad, (SE department) [Instructor] [Since Feb 2024] • Taught Programming Fundamentals to three sections of software engineering Department. [Fall 2024] • Taught Database management system to three sections of software engineering department. [spring 2024] Ghulam Ishaq Khan Institute (GIKI), [Computer Engineer/Lab instructor] [Sept 2022- Feb 2024] • Taught and supervised labs of DBMS (CS232 & CE431/Fall 2022), Introduction to Artificial Intelligence (CS-251 & CS-351/Spring 2023), Natural language processing (AI361/Spring 2023), Parallel Processing (Fall 2023) and Deep Neural Network (Fall 2023). SKILLS & PROFICIENCIES Technical Skills: Python, SQL, Java, C, C#, HTML, Assembly, CUDA, Trello, Statistics. Tools: Anaconda, Jupyter Notebook, Spyder, Visual Studio Code, Visual Studio, Android Studio, Atom, Google Colab, Oracle 21c, MS sql server, Mongod, Excel, Access, Word, power-point, Adobe illustrator. Soft Skills: Effective Communication, Problem solving, Leadership, Research, Integrity, Self-Direction, Active listening, public speaking, Adaptivity/Flexibility, Team player, Curiosity, learning from others, Open-mindedness, Taking calculated risk, Growth mindset, • Academic & Professional Projects Similar App Recommendations System and Automated ASO Tool (FYP): o This project focused on optimizing applications on the Google Play Store using machine learning techniques. The main tasks were finding similar apps related to the searched app (like features), performing competitive analysis of the similar apps, and targeting keywords. o o o • A tool was created using K-Means clustering and cosine similarity on the short and long descriptions of the apps, guiding users to the most relevant/similar app related to the searched app. Google Play scraper (API) was used to scrape data from the Google Play Store. KeyBert and TextRank were used for keyword extraction and suggestion, providing meaningful single and long-tail keywords. Infographics Project - Tell a story using data. (Paid-Freelancing) The project aimed to analyze economic crises in African countries from 1860 to 2014. The African Crises dataset, which includes economic indicators of 13 African countries, was used. o Python libraries like pandas, NumPy, seaborn, and matplotlib were used for data cleaning, transformation, and visualization. o The analysis involved summary statistics, correlation analysis, and country-wise count analysis. o Data was visualized using various plots such as correlation heatmaps, count plots of inflation crises by country, and scatter plots of USD exchange rates per country before and after independence. o o • Chess Game using alpha beta pruning & min-max: o o o o o o o Implemented the Min-Max algorithm in a two-player game to determine optimal moves. Based on game theory, the algorithm recursively evaluated all possible moves and outcomes to create a game tree. An evaluation function determines the best move for the current player by considering potential outcomes of each move. Performance was evaluated using metrics such as the number of nodes visited and the depth of the search. The Min-Max algorithm determined the best move in games such as Tic-Tac-Toe, Connect Four, and Chess. Optimization techniques such as Alpha-Beta Pruning were used to further improve the algorithm's efficiency. The project demonstrated how game theory and artificial intelligence can create intelligent game-playing agents. AWARDS & CERTIFICATIONS • • • • • • • • Databases and SQL for Data Science with Python Python for Data Science, AI & Development Python for Data Science and AI Data Visualization and Dashboards with Excel and Cognos Learn to Code in Python 3: Programming beginner to advanced. NumPy, Pandas, Matplotlib in Python for Machine Learning NLP Course for Beginner Learn Big Data Basics LANGUAGES • • URDU – (Native or Bilingual Proficiency) ENGLISH – (Full Professional Proficiency) INTERESTS • Machine Learning, Data Science, Data Analyst, Deep Learning, Neural chip, Cyber Security, Cloud & Distributed Computing, Space Exploration, Cricket.