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A self-motivated learner with a genuine interest in applying machine learning algorithms to real-world problems
https://plaksha.org/techleaders/
Data Scientist
June 12, 2026 – Present
omdena-srilanka-tea-quality
July 21, 2021 – December 8, 2022
Using AI to Improve Quality of Green Tea Leaves in Sri Lanka
View Projectomdena-morocco-heartrisk
July 13, 2021 – August 30, 2021
Applying Computer Vision Models to ElectroCardioGram (ECG) Images to help reduce heart attack deaths
View ProjectApplications-of-Data-Science
May 12, 2021 – July 8, 2021
Programming assignments to demonstrate the Applications of Data Science. These were completed as part of the Plaksha Tech Leaders Fellowship program.
Dog_Breed_Classifier
April 20, 2021 – September 18, 2021
End-to-end deep learning pipeline to classify images of dogs and humans to determine what breed the human or dog most resembles
View ProjectCoursera_TensorFlow_Advanced_Techniques_Specialization
April 12, 2021 – June 9, 2021
Used the Functional API to built custom layers and non-sequential model types in TensorFlow, performed object detection, image segmentation, and interpretation of convolutions. Used generative deep learning including Auto Encoding, VAEs, and GANs to create new content.
View ProjectCoursera_Natural_Language_Processing_Specialization
April 7, 2021 – April 8, 2021
Implementation of state-of-the-art NLP models using transformers for tasks including machine translation, text-summarization, chatbots, and question answering.
View ProjectDisaster-Response-NLP-Pipeline
March 24, 2021 – March 25, 2021
End-to-end machine learning pipeline to classify disaster messages into 36 categories and a web app to deploy the trained model.
View ProjectData_Science
January 31, 2021 – February 1, 2021
Data analysis & visualization of "2020 Kaggle Machine Learning & Data Science Survey" to highlight the tools and best practices used by the Data Science Practitioners along with a blog post on Medium.
View ProjectMachine-Learning-Lab-Plaksha
December 8, 2020 – August 7, 2021
Programming assignments covering fundamentals of machine learning and deep learning. These were completed as part of the Plaksha Tech Leaders Fellowship program.
View ProjectCoursera_Deep_Learning_Specialization
December 7, 2020 – May 21, 2021
Implementation of Logistic Regression, MLP, CNN, RNN & LSTM from scratch in python. Training of deep learning models for image classification, object detection, and sequence processing (including transformers implementation) in TensorFlow.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal learning and open-source contributions (Omdena projects), which suggests a collaborative and growth-oriented mindset. The diversity of projects, from academic specializations to real-world problem-solving, indicates adaptability. However, the lack of professional experience beyond a current 'Data Scientist' role with a future start date makes it difficult to fully assess cultural fit in a corporate environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's projects indicate a strong self-learner and a proactive approach to acquiring technical skills.