Portfolio
My name is Sayef Iqbal, a student programmer and IT network assistant at St. John's University. When I am not playing Cricket or doing BBQ, I like to learn new programming languages and cloud services, especially AWS. Most of the time, I am on my Ubuntu 18.04 machine either building native app pages in React-Native or learning about serverless cloud computation in AWS Lambda. The rest of the time, I am configuring network ACLs, creating SVIs or changing AAA commands in cisco switches and routers for St. John's University's IT-Network Department.
Computer science is a fast evolving profession where there is room and opportunity for anyone to develop new skills every single day. While I strive towrds building new skills in AWS, Networking, React-Native and other topics, I have work experience in designing and coding cli software for restaurant management systems, programming Sentiment analysis project in Java to analyze emotions from tweets, Vector Space modelling for textual similarity with query also using Java, Login Forms and CS Book app using React-Native and much more.
A command line interface for both customers and restaurant owners to be able to reserve seats and review restaurants. This simple peice of software utilizes the observer-observable pattern and is serializable hence both restaurants and customers are able to get notified for any new reviews that drops in.
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Booklist is a mobile application built using react-native. It is inspired from stephengriders prokect of album list. But this mobile application lists the top 5 book of the week by calling my own api server hosted in my personal machine. To get the source code for this react-native project visit Booklist repository
Close ProjectThis video could be used to a way around to understand some basic configuration for deplying a lan network in a campus wide. The configuration covers basic concept of networking like Vlan, SVI, Static routes, SSH, Telnet etc.
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This simple program is written in java simply focusing on analyzing different characteristics of a tweet to validate it as postive or negative sentimental statement using machine learning algorithms. The findings are very interesting.To get the source code for this tweet sentiment analysis project visit Tweet Sentiment Analysis repository
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This project was to retrieve and rank the 50-100 most relevant documents from a list of 40,000 documents. Documents in this case is represented as a single sentence comprising of natural language words. I used vector space modelling and cosine similarity to find relevance. The documents were preprocessed and stemmed using Porter Stemmer library. In order to view the source code for VSR Model project visit Textual similarity repository
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This was a research done by me and Associate Professor. Fazel Keshtkat at St. John's University in order to understand how some building features (concrete walls, glass windows, floor size etc.) can contribute towards energy consumption. The main goal of this research was to classify good, bad and excellent energy consumption behavior shown by commercial buildings in the United states using raw data from U.S. Energy Information Adminstration. In order to acces the result sheet, analyzed data or our research paper please email me at sayef.iqbal16@stjohns.edu
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