Summary
Overview
Work History
Education
Skills
Websites
Certification
Affiliations
Accomplishments
References
Timeline
Generic
Thilina Jayasinghe

Thilina Jayasinghe

Kurunegala, Sri Lanka

Summary

Dynamic Data Scientist with hands-on experience in building end-to-end machine learning solutions, experimenting with Generative AI, and developing AI agents. Skilled in processing and analyzing geospatial and ESG data to uncover actionable insights. Proficient in leveraging Python, R, and advanced visualization techniques to solve complex business problems. Experienced across multiple cloud platforms, with a strong focus on delivering innovative, scalable, and impactful AI-driven solutions.

Overview

4
4
years of professional experience
1
1
Certification

Work History

DATA SCIENTIST

R S METRICS ASIA HOLDINGS(PVT) LTD
04.2022 - Current
  • Processing geospatial and ESG data, and providing advanced visualizations via dashboards.
  • Assessing portfolio climate risks based on several climate risk indicators.
  • Designed models, algorithms, and visualizations to distill insights from huge volumes of data.
  • Application of statistical, machine learning, deep learning techniques, and time series modeling for diverse use cases.
  • Implementing AI Solutions for Business Requirements (Generative AI, AI Agents).
  • Utilizing database technologies such as SSMS, BigQuery, and AWS Redshift.
  • Expertise in process automation on GCP and AWS.

INTERN DATA ANALYST

VIZUAMATIX(PVT) LTD
COLOMBO
09.2021 - 04.2022
  • Processing telco, banking, and finance-related data using Python and R programming.
  • Guiding critical business decisions with ML and DL.
  • Developed and tracked machine learning models using MLflow for experiment management and performance monitoring.
  • Financial risk management with big data.

Education

Master of Science - Big Data Analytics

Robert Gordon University
Aberdeen
06.2022

Bachelor of Science - Industrial Statistics

University of Colombo
Colombo
06.2017

G.C.E Advanced Level - Physical Science

Maliyadeva College
Kurunegala
01-2016

Skills

  • Programming: Python, R programming, PySpark
  • Databases: SQL, MySQL, MongoDB, BigQuery, and AWS Redshift
  • Visualization: Google Data Studio, Power BI
  • Testing: PyTest, UnitTest
  • Cloud Platforms: GCP and AWS
  • Cloud services: BigQuery, Cloud Functions, Bitbucket, Cloud Schedulers, AWS Redshift, S3, Lambda Functions, and EventBridge Schedulers
  • Geospatial data handling: QGIS, ArcGIS, Google Earth Engine (GEE), and Sentinel Hub

Certification

  • Google Cloud Certified Professional Cloud Developer - Google
  • Google Cloud Big Data and Machine Learning Fundamentals - Google
  • Artificial Intelligence A-Z 2024: Build 7 AI, LLM, and ChatGPT - Udemy
  • Microsoft Power BI Desktop for Business Intelligence (2023) - Udemy
  • Docker and Kubernetes - Udemy
  • Microsoft Power BI Desktop for Business Intelligence (2023)
  • Python data structures
  • Programming for everybody (getting started with Python)

Affiliations

  • Board member, SAIFA, 2019/20/21, University of Colombo, Faculty of Science
  • Director, Health Avenue, 2022/23, Leo Club of Mount Lavinia Orient Centennial

Accomplishments

  • Developing a Python and Gradio-based generative AI chatbot using LLM models: Python, OpenAI, prompt engineering, and Streamlit
  • Developing machine learning and deep learning algorithms for short-term drought predictions and flood forecasts: Python
  • Experimenting with different machine learning models to predict wildfire events: Python
  • Developing an outlier detection system: Python, Python Flask, HTML, CSS, and JavaScript
  • Developing advanced data visualizations for the end users: GCP, BigQuery, and Google Looker Studio
  • Predicting IBM employee attrition using R and developing the RShiny app: R, RShiny
  • A study on pregnancy-related factors associated with infant birth weight in the Western Province, Sri Lanka (BSc final year research). Using machine learning models to predict infant birth weight categories based on pregnancy-related factors: Python (Scikit-learn, Pandas, XGBoost), HTML, CSS, and JavaScript
  • Forecasting for the West Texas Intermediate crude oil prices with Extreme Values Treatment (MSc final year research): Python, Time Series Modelling, RNN, LSTM, GRU, Gradio

References

  • DR DILSHANI TISSERA, SENIOR LECTURER, DEPARTMENT OF STATISTICS, UNIVERSITY OF COLOMBO, 011 2 590 111, dilshani@stat.cmb.ac.lk
  • DR RASHMI BOMIRIYA, CHIEF OPERATING OFFICER & CHIEF DATA SCIENTIST, RS METRICS, +94-772-292-471, rsmetrics.asia.holdings@gmail.com

Timeline

DATA SCIENTIST

R S METRICS ASIA HOLDINGS(PVT) LTD
04.2022 - Current

INTERN DATA ANALYST

VIZUAMATIX(PVT) LTD
09.2021 - 04.2022

Master of Science - Big Data Analytics

Robert Gordon University

Bachelor of Science - Industrial Statistics

University of Colombo

G.C.E Advanced Level - Physical Science

Maliyadeva College

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