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Data Science with 2+ years in Machine Learning & Business Analytics
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Data Science and Business Analytics graduate with hands-on experience in machine learning, statistical analysis, predictive modeling, and business intelligence. Skilled in Python, SQL, Power BI, Tableau, and machine learning libraries to analyze complex datasets, build classification and forecasting models, and transform data into actionable insights. Experienced in EEG/ECG signal processing, healthcare analytics, dashboard automation, and performance gap analysis. Proven ability to develop data-driven solutions that improve reporting accuracy, reduce manual workload, and support strategic decision-making. Strong background in working with cross-functional teams across healthcare, software engineering, and AI-driven business environments.
General Sir John Kotelawala Defence University, Sri Lanka
B.Sc. · Data Science and Business Analytics
August 1, 2021 – June 30, 2024
St. Thomas' Girls' High Scholl / Matara
GCE A/L · Combined Mathematics
N/A – May 31, 2019
St. Thomas' Girls' High Scholl / Matara
GCE O/L
N/A – May 31, 2016
Nawaloka Hospitals PLC
Statistical AI Analyst
January 1, 2026 – Present
India
Nawaloka Hospitals PLC
Junior - Business AI Analyst
May 1, 2025 – December 1, 2025
India
Content Management & Solutions (Pvt) Ltd
Consultant - Software Engineer
March 1, 2025 – May 1, 2025
India
Ceylon Business Appliances (Pvt) Ltd
Intern - Data Scientist
November 1, 2024 – March 1, 2025
India
Ceylon Business Appliances (Pvt) Ltd
Trainee - Data Scientist
July 1, 2024 – November 1, 2024
India
Bed Occupancy Dashboard – Healthcare Operations
January 1, 2025 – Present
Designed a real-time hospital bed occupancy dashboard integrating directly with Oracle EMR. Improved operational visibility, showing live patient counts, ward occupancy, and admission durations. Reduced manual reporting time by 40% through automated data pipelines. Tools: Power BI, SQL, Oracle, Power Query.
Radiology Gap Analysis & Performance Dashboard
January 1, 2025 – Present
Developed an operations performance dashboard to track radiology KPIs (X-ray, CT, MRI, ultrasound) against targets. Automated data collection using SQL/Excel, improving reporting accuracy and reducing manual effort. Helped hospital leadership identify gaps, optimize workflows, and improve resource utilization. Supported data-driven decisions for workload balancing and resource optimization. Automated data integration using SQL and Excel to ensure continuous live updates. Tools: Power BI, SQL, Excel, Python.
Admission Gap Analysis Dashboard (Doctor & Specialty-wise)
January 1, 2025 – Present
Built a real-time admissions monitoring tool segmented by doctor and specialty. Identified performance gaps against targets and flagged operational bottlenecks. Supported hospital management in improving service delivery, resource allocation, and revenue cycle performance. Monitored real-time ward occupancy, referral trends, and department-level contribution to overall admissions. Enhanced hospital leadership's ability to assess doctor performance, improve planning, and meet strategic goals. Integrated directly with EMR and admission systems to ensure accurate and timely data insights. Tools: Power BI, SQL, Excel.
Real-time Emotion Visualization through AI
January 1, 2024 – Present
Built an AI-driven system to convert live music into real-time visualizations based on audience sentiment, enhancing user engagement. Applied Natural Language Processing (GPT, Roberta, LSTM) and Generative AI (DALL·E) for sentiment-to-image translation. Tools: Python, TensorFlow, Keras, Whisper, Flask, LangChain.
Skin Oiliness Detection Application
January 1, 2024 – Present
Developed a machine learning model to classify skin types (normal, oily, dry, combination), improving dermatology diagnostics. Used an ensemble of CNN (VGG architecture) and SVM for high classification accuracy. Tools: Python, VGG, CNN, SVM.
Automated Antenna Azimuth Prediction Model
January 1, 2023 – Present
Designed a predictive model to optimize telecom antenna alignment using regression and ensemble ML models. Improved signal efficiency and operational planning through data-driven predictions. Tools: Python, Linear Regression, ANN, Random Forest, Google Colab.
Real-Time Voice-to-Text Application with ChatGPT
January 1, 2023 – Present
Created a real-time transcription tool integrating speech-to-text and language model support. Enhanced accessibility by automating accurate transcription into text files. Tools: Whisper, ChatGPT, Python, Flask.
KPI Requirements Gathering Dashboard
January 1, 2023 – Present
Built an interactive Power BI dashboard to track organizational KPIs. Improved reporting accuracy and visibility for management decision-making. Tools: Power BI.
Simple Chatbot
January 1, 2023 – Present
Designed a knowledge-based chatbot using NLP to deliver automated responses. Improved information retrieval and user interaction efficiency. Tools: Python, NLTK.
Web Scraping GitHub Repositories
January 1, 2023 – Present
Automated extraction of GitHub repository data for analytics and research insights. Enhanced efficiency by reducing manual data collection. Tools: Python, BeautifulSoup, Pandas.
Intro to ChatGPT and Generative AI
365 Data Science
June 1, 2026 – Present
Oracle SQL - A Complete Introduction
Udemy
June 1, 2026 – Present
Introduction to Cyber Security
Cisco Networking Academy
June 1, 2026 – Present
AWS Cloud Practitioner Essentials
Unknown
June 1, 2026 – Present
MySQL Database Development Mastery
Udemy
June 1, 2026 – Present
Networking CISCO CCNA 1 Certification Level
Cisco
June 1, 2026 – Present
Introduction to Building with AWS Database
Unknown
June 1, 2026 – Present
Advanced SQL for Data Engineering
365 Data Science
June 1, 2026 – Present
Intro to Data Engineering
365 Data Science
June 1, 2026 – Present
Introduction to Data Science
Cisco Networking Academy
June 1, 2026 – Present
Convolutional Neural Networks with TensorFlow in Python
365 Data Science
June 1, 2026 – Present
Machine learning
Coursera
June 1, 2026 – Present
Introduction to TensorFlow for AI, ML, and DL
Coursera
June 1, 2026 – Present
Python For Beginners
University of Moratuwa
June 1, 2026 – Present
Machine learning with Google Colab
Udemy
June 1, 2026 – Present
Get started with R programming
Udemy
June 1, 2026 – Present
SQL+Tableau+Python
365 Data Science
June 1, 2026 – Present
Building Recommender Systems with Machine Learning and AI
Udemy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in diverse applications of data science, from healthcare diagnostics to real-time AI visualization and telecom optimization. The professional experience at Nawaloka Hospitals PLC shows an ability to apply data science in a business context, focusing on operational performance and strategic decision-making. The breadth of skills across ML, AI, data visualization, and database management, combined with experience in both academic and professional settings, suggests adaptability and a proactive learning attitude, which are positive indicators for cultural fit in a dynamic data science environment.
Soft Skills & Operational Fit
The candidate's resume highlights problem-solving, time management, and team collaboration as soft skills. Project descriptions indicate an ability to work on data-driven solutions that improve reporting accuracy and reduce manual workload, suggesting a good operational fit for roles requiring efficiency and impact. Collaboration with cross-functional teams is also mentioned, which is crucial for a data science role.