About Me
I hold a degree in Computer Science from FAST-NUCES, where my passion for Data Science was ignited. My academic background and hands-on experience have equipped me with a strong foundation in Web and App Development, having completed several projects in these domains. Moreover, my curiosity extends to Artificial Intelligence and Machine learning, with a specific focus on Natural Language Processing (NLP). In addition to my technical pursuits, I am also a proficient Photographer, capturing moments that inspire and resonate with others. During my free time, I indulge in playing E-Games, finding it both relaxing and stimulating.
Services
App Development
With a solid foundation in both frontend and backend technologies, I am proficient in App Development using React Native and Firebase. Coupled with my expertise in SQL for database management, I am poised to excel in the dynamic field of web development.
Web Development
Strong grasp of both frontend and backend technologies, encompassing React for frontend development and Node.js/Express for backend solutions, along with proficiency in SQL and Firebase for database management.
Data Analytics
Skilled in collecting data through web scraping and efficient management techniques. Leveraging Python and SQL, I conduct thorough statistical analysis and adeptly manipulate data. With use of Large Language Models (LLMs), I excel in ensuring data accuracy through meticulous cleaning and preprocessing.
AI & ML
With knowledge in Large Language Models (LLMs), I understand their role in tasks like chatbots and language translation. Additionally, I'm familiar with Natural Language Processing (NLP), including sentiment analysis and language understanding.
Projects
Here you will found some of my interesting projects.
COVID-19 - Dashboard
I developed a COVID-19 dashboard on Tableau to visualize pandemic data, facilitating informed decision-making and extracted insights from it using data analytics techniques, aiding in understanding trends and patterns.
Homicide - Dashboard
I created a homicide dashboard on PowerBi to visualize homicides by regions and extracted valuable insights to understand patterns and trends, aiding in crime prevention efforts.
Analysis for Arrhythmia - Dashboard
I developed an Arrhythmia dashboard on Grafana for analyzing cardiac data and extracted insights to enhance diagnosis and treatment strategies, improving patient outcomes.
CatConnect App
Developed a mobile application using React Native to assist users in finding the most suitable cat breed for their preferences and lifestyle. Integrated features allowing users to interact with experienced veterinarians for cat consultation and advice. Utilized Natural Language Processing (NLP) techniques to analyze comments and likes to determine ratings for both doctors and cat breeds. Implemented algorithms to Recommend the Best Cat Breed according to the user's cat profile.
Analyze ECG for Arrhythmia Detection
The analysis code involved data acquisition from PhysioNet, preprocessing including handling missing values and Dimensionality Reduction via PCA , and exploratory data analysis (EDA) to understand arrhythmia distribution among patients and other relevant factors.
Data Annotaion Using LLM
Data annotation is a crucial step in the machine learning pipeline, particularly in tasks like sentiment analysis, where labeled data is essential for training accurate models.I leverage the capabilities of Large Language Models (LLMs) to automate the data annotation process. We have developed a Python script that interacts with the GEMINI API, a generative AI service, to annotate tweets related to COVID-19 based on their sentiment.F
Electronics Sales Data Analysis
The analysis entails delving into different facets of electronics sales data, encompassing trends, patterns, and possible customer or product clusters. Techniques such as visualization and clustering are employed to extract valuable insights from the dataset.
Furniture Hub
Created an interactive furniture website where users can easily find a variety of furniture options. With intuitive navigation and search features, discovering the perfect piece for any space is simple and enjoyable.
Email Spam Detection
I developed an email spam detection system using machine learning algorithms to accurately identify and filter out spam emails from incoming messages. Leveraging techniques such as text preprocessing, feature extraction, and model training, the system achieves high accuracy in distinguishing between spam and legitimate emails.
Predicting Sales
My analysis involves examining advertisement data using Linear Regression and Multiple Regression techniques. It focuses on predicting sales based on advertising expenditures across various mediums like TV, radio, and newspaper. We utilize linear regression to forecast sales based on advertising expenditures in different mediums and conduct a comprehensive multiple regression analysis, including calculations for R^2, t-statistics, and p-values.
Web Scrapper
Developed a Python script using Selenium and Beautiful Soup to extract images, videos, and text from three different websites: Altnews, Politifact, and Mastodon. The extracted data can be used for analysis and further research purposes."
Lost and Found System
A lost and found system for universities in web development serves as a platform for students, faculty, and staff to report lost items and facilitate their recovery. Users can submit details of lost items through an online form, including item specifics, location, and contact information. The system stores and manages this data, notifying users upon the retrieval of their lost belongings.
Skills & Technologies
Data Collection
Data Scraping
Data Annotation
Data Analysis
Data Visualization (Tableau, PowerBI, LIDA, Grafana)
Python
C++
JavaScript
Node.js
Express.js
React.js
React Native
SQL
MySQL
PostgreSQL
Oracle
Sequelize
TypeScript
Redux
MVC Architecture
EJS
AJAX
Firebase
Scraping
Selenium
Git
Contact
For any and all queries, please don't hesitate to contact me on Linkedin or via email at mamoonofficial01@gmail.com