Summary
Overview
Education
Skills
Certification
Timeline
Hi, I’m

Fayaz Moqueem Mohammed

Boston,MA
Fayaz Moqueem Mohammed

Summary

Organized and dependable candidate successful at managing multiple priorities with a positive attitude. Willingness to take on added responsibilities to meet team goals. Fast Learner with enthusiasm to learn new things. Hardworking and passionate job seeker with strong organizational skills. Ready to help team achieve company goals.

Overview

1
Certificate

Education

Boston University
Boston, MA

Master of Science from Artificial Intelligence
01.2024

University Overview



  • Completed course in Artificial Intelligence at Boston University
  • Completed course in Data Science Tools and Applications at Boston University
  • Completed course in Principles of Machine Learning at Boston University
  • Artificial Intelligence Course Project: Deepfake Detection Using Improved Routing Algorithms in Capsule Networks The main aim of the project was ot detect DeepFakes using the improved Dynamic Routing algorithms to improve the existing models to detect deepfakes. Also, capsule networks generally have the robustness to 3D viewpoint changes and generalization capability, they could yield better results than other traditional neural networks.
  • Data Science Tools and Applications Course Project: Affordable Housing Snapshot (Housing Affordability Index), the main aim of the project was to categorize and predict the property owner as good/bad. Th extension of this project was to predict the housing affordability of the houses with good owners. It was a professional project under the District 9 Councillor. My role in it was to clean data, preprocess data, analyze data, model building and model tuning

Osmania University
Hyderabad, India. B.E In Computer Science.

Bachelor of Engineering from Computer Science
06.2022

University Overview

  • Personal Project: Prediction of Cryptocurrency trends.
  • Objective: With the increased popularity, there is also an increased proclivity of investors towards investing in cryptocurrencies. To gain maximum profits and avoid risks, one need to analyze trends, for this purpose different Machine learning Algorithms such as Random Forest were implemented to choose the best model for predictions.
  • Personal Project: Fake Review Detection.
  • Objective: The sellers increasingly misuse these massive online platforms for increasing their product sales by posting false reviews. Consumer engagement reports suggest that around 82% of customers read online reviews before purchasing a product online. So these reviews are crucial for them to decide if the product suits them and is reliable. Machine learning Algorithms such as naive bayes, support vector machines were implemented to choose the best model for predictions.
  • Undergrad Final Project: WELFAKE: Word Embedding over Linguistic Features for Fake News Detection , I was the team lead for my final project, our main aim was to identify the fake news. We used Convolution Neural Networks to build our model and also Tensorflow framework to build. I led my team successfully to highest grade (10/10) for our project.
  • 8.27/10 GPA during Undergrad.
  • Ranked in Top 15% of class

Skills

  • Data Analysis
  • Database Programming and SQL
  • Statistical Analysis
  • Python Programming
  • Logistic Regression
  • Clustering Algorithms
  • Jupyter Notebook
  • Organisation and Time Management
  • Data Visualisation
  • Computer Vision
  • Creative Solutions
  • Random Forests
  • Detection Models
  • Data Science

Certification

  • Machine Learning, Stanford University, Coursera.
  • HTML, CSS, and Javascript for Web Developers, Coursera.
  • Object-Oriented Data Structures in C++, Coursera.
  • Python Data Structures, Coursera.
  • Python HackeRank skill test.

Timeline

Boston University

Master of Science from Artificial Intelligence

Osmania University

Bachelor of Engineering from Computer Science

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Fayaz Moqueem Mohammed