Hi!
I'm Amir Masoud Sefidian

Data Scientist, Machine Learning Engineer, Researcher, Software Developer

W
elcome. I started programming as a C programmer for microcontrollers when I was 14. After four years of programming for high school’s robotics team, I was motivated to pursue the Computer Science field. I received my Bachelor’s degree in Computer Engineering from Shahid Rajaee University (Tehran, Iran) in 2015. I straightly admitted to M.Sc. program as a talented student. I successfully completed my Master's degree in Computer Science in 2017 from Shahid Rajaee University where I worked on Machine Learning and Data Mining algorithms especially focused on data preprocessing and missing values imputation techniques. Currently, I am a researcher and Python developer in the fields of Machine Learning, Deep Learning, and Data Science.

Education

  • 2015-2017M.Sc. in Computer Engineering

    • Shahid Rajaee University, Tehran, Iran
    • GPA: 4.0/4.0 (Ranked 1 st in the class)
    • Research Area:
      • Data Mining
      • Machine Learning
      • Data Preprocessing
  • 2011-2015B.Sc. in Computer Engineering

    • Shahid Rajaee University, Tehran, Iran
    • GPA: 3.96/4.00 (Ranked 1 st in the class)
    • Being exempted from M.Sc. program entrance exam as an Exceptional Talented Student

Publications

Skill & Experience



Programming Languages

Proficient in:
  • PYTHON:
    • Machine Learning
    • Data Science
    • Deep Learning
    • Web
Familiar with:
  • C/C++
  • Java
  • Matlab
  • PHP
  • WebDev Stack (HTML, JavaScript, CSS)

Databases

  • MySQL
  • MongoDB
  • Elasticserach
  • PostgereSQL
  • Redis
  • SQLite

Other Tools & Technologies

  • Linux & Windows
  • PHP based Content Management Systems (CMS)
  • Weka
  • LATEX typesetting language
  • AVR microcontrollers
  • Raspberry Pi

Projects

  • 2020, Developing an hourly energy consumption prediction service for PJM Interconnection LLC Energy Consumption dataset based on GRU/LSTM networks using PyTorch framework.
  • 2020, Developing a Sentiment Analysis (Positive/Negative reviews) service for Amazon customer reviews dateset based on LSTM networks using PyTorch framework.
  • 2020, Developing a Facial Keypoint Detection system that takes in any image with faces, recognizes and detects faces, and predicts the location of 68 distinguishing keypoints on each face based on Deep CNNs (NaimishNet Architecture) using PyTorch framework.
  • 2019, Developing data analysis and machine learning microservices in order to analyze organizational time series data using Python, Redis, Apache Kafka, gRPC, Protobuff, and Docker.
  • 2019, Developing a real estate application using the Django & PostgreSQL.
  • 2018, Designing and implementing a web-based appointment scheduling, accounting, and management system for Farzandane Bartar Consultation Institute using Django, MySQL, HTML, CSS, and JavaScript.
  • 2016, Designing and developing a novel missing data imputation framework using Self-Organizing Map (SOM) neural networks and Weighted K Nearest Neighbors technique using Python.
  • 2016, Designing and implementing different semantic web layers for a transport application using XML, XQuery, XSD, XSLT, and Web Ontology Language (OWL).
  • 2015, Designing and implementing a simple word segmentation algorithm for Persian text images using morphological operations in Matlab.
  • 2014, Developing first carpooling website in Iran (4paaye.ir) (Winner website of 8 th Iranian Web and Mobile Festival (IWMF)).
  • 2013, PHP back-End developer of Mehreab Magazine website.

Teaching/Research/Professional Experience

  • Researcher, Computer Science R&D Laboratory, Faculty of Computer Engineering, Shahid Rajaee University.
  • Reviewer, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems (IJUFKS).
  • Reviewer, International Journal of Information Technology, and Decision Making (IJITDM).
  • Private Tutor, Teaching Python, Machine Learning, and Data Mining.
  • Teaching Assistant , ”Data Mining”, Faculty of Computer Engineering, Shahid Rajaee University, Instructor: Dr. N. Daneshpour.
  • Teaching Assistant , ”Decision Support Systems”, Faculty of Computer Engineering, Shahid Rajaee University, Instructor: Dr. N. Daneshpour.
  • Teaching Assistant , ”Database”, Faculty of Computer Engineering, Shahid Rajaee University, Instructor: Dr. N. Daneshpour.

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