MAX (MASOUD) FARAMARZI
mfaramarzi@uri.edu | Watertown, MA, 02472 | www.linkedin.com/in/masoud-faramarzi
Deep Learning
Skills :
CNN, RNN, NLP, Object Classification, Detection and Segmentation, Deep Learning Libraries.
Major Projects :
1. Road Damage Segmentation Using UNET
In this project initially a YOLOv2 (object detection model) was used to crop lanes from the roadway images captured top-down, then transfer learning technique was applied to a UNET model (pre-trained to segment retinals blood vessels), to segment crackes on the cropped road images.
2. Object Detection and Classification Using Deep Neural Networks (YOLOv4)
In this project a deep Neural Network algorithm (YOLOv4) was applied to 9,053 road images to train and test road damage detection and classification models.
Machine Learning
Skills :
Supervised Learning, Decision Trees, Model Selection, Bagging, Boosting, Linear Regression/Classification, Gradient Descent, SVM and Nueral Network.
Major Project :
1. Using NLP and DNN to conduct a sentiment analysis on Covid 19-tweets
- A language model pretrained on wikitext was used in the transfer learning to finetune that and generate a language model customized for tweet text.
- Using the customized language model a classifier model was trained on sentiment-labeled general tweets.
Minor Projects :
Data Science
Skills :
Process, Access, Prepare, Summarize, Visualize, Construct, Classification, Regression, Clustering, Optimize, Unstructured Data ( Loading data, Exploratory Data Analysis, Data Cleaning, Databases, Merging DataFrames, Modeling, Naive Bayes, classification performance metrics, decision trees, cross validation, Regression, Clustering, SVM, parameter tuning, KNN, Model comparison, Text Analysis, Topic Modeling, Deep Learning).
Minor Projects :
- Python Grader
- Accessing_Data
- EAD
- Preparing Data
- Data_Construction
- Classification
- Decision-Trees
- Regression
- Clustering
- Optimizing-Models
- Model Selection
- NLP
Programming with Python
### Skills :
Input and Output, Loop, Functions, String, List, Dictionary, Set, Tuple, OOP, JSON, Random Data Generation.
Major Project :
Developing Python programs, for Auto-Grading Server
Minor Projects :
Programming with C++
### Skills : Write programs, data represention in memory (stack/heap), multi-dimensional arrays/vectors, decomposing problems and develop abstractions,OOP concepts (e.g., objects, classes, encapsulation, polymorphism, and inheritance).
### Minor Projects :
- Project 0 : Writing a paper: “Milestones in the History of Computing”
- Project 1 : Algorithms, Problem Design, Pseudo-code, branching,
- Project 2 : Loops and Nested loops, Using the Debugger, Functions, Arrays, Strings (C style strings and string objects)
- Project 3 : Algorithms, Problem Design, Pseudo-code, branching
- Project 4 : Functions and Multidimensional Arrays
- Project 5 : Classes, Backtracking , and Reading Documentation
Data-Structure
Skills :
computational cost calculations, stacks, queues, Linked List, trees, graphs.
Major Project :
### Minor Projects :