Data Science Machine Learning
Resume:
EDUCATION
Subjects: Machine Learning Artificial Intelligence Business Intelligence & Analytics Programming Data Modeling & Management Nature-Inspired Algorithms Knowledge Representation Statistics Mathematics
Subjects: Mathematics Computer Science Physics Physical Science Stream: Mathematics Physics Chemistry M.Sc. in Data Science and Artificial Intelligence
B.Sc. (Hons.) in Mathematics (2nd Class Upper )
G.C.E. Advanced Level Examination
2023 - Present
2017 - 2021
2013 - 2015
University of Sri Jayewardenepura
University of Sri Jayewardenepura
Mahanama College, Colombo 03
WORK EXPERIENCE
Implemented website tracking using Google Analytics for comprehensive analytics. Integrated tracking codes from AdWords, Facebook Ads, YouTube, and TikTok into the website using Google Tag Manager, facilitating centralized data management. Developed and customized reports and dashboards using Google Data Studio (Looker Studio) to provide insightful analysis for PPC campaigns and website performance. Demonstrated proficiency in translating data into actionable insights, facilitating data- driven decision-making for optimization strategies. Played a crucial role in enhancing web analytics infrastructure and ensuring accurate and reliable data collection.
Associate Web Analyst
February 2023 - August 2023
eMarketingEye
Assisted in delivering lectures, providing support to the main instructor, and ensuring a conducive learning environment for students.
Graded assignments and tutorials promptly, providing constructive feedback to facilitate student learning and improvement.
Conducted practical sessions, offering hands-on guidance to students, fostering a practical understanding of course concepts.
Temporary Demonstrator
June 2021 - August 2022
University of Sri Jayewardenepura
ad3xgk@r.postjobfree.com
in/dulara-wijerathne
github.com/DularaWijerathne
DULARA WIJERATHNE
ABOUT ME
I am a self-driven and ambitious
individual dedicated to my work.
I thrive in challenging, fast-paced
environments, am a fast learner, and
excel as a team player, contributing
to successful project outcomes.
REFEREES
SKILLS
Programming Languages
Python
SQL
MATLAB
Java
Looker Studio
Decision making
Numpy
Google Analytics
Critical Thinking
scikit-learn
Keras
MySQL
Problem solving
pandas
Power BI
Analytical Skills
matplotlib
TensorFlow
NLTK
Tools & Technologies
Core Skills
Frameworks & Libraries
Email :
Phone :
ad3xgk@r.postjobfree.com
Dr. R P K De Silva
Senior Lecturer,
Department of Mathematics,
University of Sri Jayewardenepura
ad3xgk@r.postjobfree.com
Mr. K K W A Sarath Kumara
Email :
Phone :
Senior Lecturer,
Department of Mathematics,
University of Sri Jayewardenepura
PROJECTS
Developed a maze-solving script in Python, employing the breadth-first search (BFS) algorithm to determine the shortest path between two points within a maze. Implemented the project using the curses library for user interface and visualization. Maze Solver with Breadth-First Search Algorithm
Tech Stack : Python, Breadth-First Search Algorithm, Visual Studio Code IDE https://github.com/DularaWijerathne/Path_Finder
Led a data science project to predict car prices in Australia using Random Forest Regression. Leveraged features such as brand, year, mileage, and more from a Kaggle dataset, showcasing expertise in data science, feature engineering, and practical machine learning applications.
Car Prices prediction in Australia
Tech Stack : Python, Random Forest Regression algorithm, Jupyter Notebook https://github.com/DularaWijerathne/Vehicle_Price_Prediction
" AI-Powered Restaurant Assistant” is an AI chatbot developed in Python, leveraging Natural Language Processing (NLP) techniques and TensorFlow/Keras for model training. The project consists of text preprocessing, model training, chatbot creation, and intent management. Through NLTK preprocessing, a neural network model is trained on intents and associated patterns from a JSON file. The chatbot utilizes the trained model to predict user intents and generate appropriate responses. AI-Powered Restaurant Assistant
Tech Stack : Python, NLP, TensorFlow, Keras, PyCharm https://github.com/DularaWijerathne/AI-Powered_Restaurant_Assistant Developed a robust heart disease predictive model using Random Forest Classification and a comprehensive pipeline. Addressed missing values, outliers, and implemented feature scaling for numeric attribute uniformity. Cross-validation assessed performance, with key metrics like accuracy evaluated. The finalized model, inclusive of Random Forest Classification and cross-validation, was saved for future applications, showcasing a thorough approach to reliable heart disease detection. Heart Disease prediction
Tech Stack : Python, Random Forest Classification algorithm, Jupyter Notebook https://github.com/DularaWijerathne/Heart_Failure_Prediction Developed an image classification script using TensorFlow and Convolutional Neural Networks (CNNs), utilizing the Keras dataset with ten classifications. Trained the neural network to recognize those and then applied the model to classify images from the internet, demonstrating its real-world applicability and accuracy. Image Classification with TensorFlow and Keras
Tech Stack : Python, TensorFlow, Keras, Jupyter Notebook https://github.com/DularaWijerathne/Image_Classification EXTRA-CURRICULAR ACTIVITIES
Member of Mathematics Society
2019-2020
University of Sri Jayewardenepura
Represented the University of Sri Jayewardenepura as a Chess Player 2017 - 2018
University of Sri Jayewardenepura
Member of the Mahanama College Chess Team
2004 - 2012
Mahanama College, Colombo 03
Committee member of Aurora 2k17 - Conference on Computer Science 2017
University of Sri Jayewardenepura
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