Amali Osadi

Amali Osadi

I am a self-motivated and hardworking fresher and an excellent team player seeking for an opportunity to work in a challenging environment.


E-mail: kaosadi17@gmail.com | phone: 0711896301 | Course: CS

I am a self-motivated and hardworking fresher and an excellent team player seeking for an opportunity to work in a challenging environment to prove my skills, utilize my knowledge & intelligence in the growth of the organization.

Interests: Natural Language Processing, Machine Learning, IOT

Technical Skills: Java, Python, C, Android, PHP, HTML, JavaScript, MySQL

Project Experience

Home Power Manager (Sahasak Nimewum)
IOT based power managing system for general houses. (Python, Android, Arduino)

Web Based Student Administration System for Advanced Construction Training Academy (ACTA)
Developed a web based student administration system with event management, marks and report generation, notification functionalities. (PHP, HTML, CSS, JavaScript)

Centroid –VTAF (Intern Project – Virtusa Pvt. Ltd)
Virtusa Test Automation Framework is an end to end test automation tool. (AngularJS, Java, Android, Orient DB) and management.

Work Experience

Virtusa Pvt. Ltd: Worked as a Trainee Software Engineer and engaged a project called VTAF (Virtusa Test Automation Framework)

Achievements | Awards

• Diploma in Information Technology – ESOFT Pvt. Ltd
• Job Skills Development Training Programme – BOC
• Participated IEEEXtreme 7.0, 8.0, 9.0

Final Year Project

Rule Based and Combined Machine Learning Approach for Classifying Exam Questions into Bloom’s Cognitive Levels.

Address the problem of automatically classify exam questions into Bloom’s taxonomy cognitive levels by introducing a hybrid approach via integrating rule based approaches with combined machine learning classification approach. In rule based approach use WordNet semantic similarity and cosine similarity algorithms and combined machine learning approach consists with support vector machine, Naïve Bayes and k-nearest neighbor approaches.
(NLP, Python NLTK, SVM, kNN, NB, WordNet, Cosine Similarity)

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