VAHKKSHSHAN SITHSABASAN
Summary
Master's student in Data Science with a First-Class Honours background in Software Engineering, specializing in applied machine learning and optimization. Recent projects include designing AI trading bots utilizing advanced nature-inspired algorithms such as Genetic Algorithms, Quantum Genetic Algorithms, and Particle Swarm Optimization, along with statistical modeling for real-world datasets. Previous experience as a Data Engineer involved developing ETL pipelines, data dashboards, and leveraging big data technologies like Apache Spark and AWS Redshift, providing a solid foundation in large-scale data systems. A self-motivated and adaptable problem solver, committed to merging academic research with practical engineering to create impactful, data-driven solutions.
Overview
4
4
years of professional experience
1
1
Certification
Work History
Data Engineer
Grubtech
11.2021 - 10.2023
- Creating Business Insight Dashboards with Apache superset and AWS Redshift.
- Working on Springboot based ETL pipeline integrated with AWS tools, Kafka, Elasticsearch and Redis.
- Fixing bugs and making optimizations on existing dashboards with optimized query and optimized pipeline changes.
- R and D tasks on workarounds to superset limitations.
- Designed and implemented ETL pipelines to optimize data processing efficiency.
- Developed data models and schemas to support reporting and analytics initiatives.
Associate Software Engineer Trainee (Data Science)
Zone 24x7
06.2019 - 07.2020
- Migrated recommendation algorithms (ETL jobs) from pig hadoop scripts to apache spark
- Created new jobs in Apache spark and scheduled them with azkaban workflow manager using gradle and bash scripts
- Fixed bugs in existing pig jobs and spark jobs
- Prepared job runbooks and documented each phase of job and algorithm logic.
- Research on possibilities of transferring certain dataloaders from hadoop to spark without reducing time efficiency.
- Worked as a research support role for a product lifecycle managment analytical dashboard for a leading garment manufacturer using Amazon QuickSight.
- Collaborated with cross-functional teams to gather requirements and deliver user-centric designs.
Education
Master of Data Science - Data Science
University of Western Australia
Perth, WA12-2025
Bachelor of Engineering (Hons) - Software Engineering
University of Westminster
01.2021
Skills
Programming & Tools: Python, R, SQL, Java, Scala, Bash, Git
Data Science & AI: Machine Learning, Deep Learning (PyTorch, Scikit-learn), Optimisation Algorithms (GA, QGA, PSO, FOA, FPA, etc), Statistical Modelling, Data Visualisation (Superset, Tableau, Matplotlib)
Big Data & Engineering: Apache Spark, Hadoop, Kafka, AWS (Redshift, Cloud tools), ETL Pipelines, Superset
Software Development: Spring Boot, REST APIs, Web Development (HTML, CSS, JavaScript, Typescript)
Certification
- Preparing for Google Cloud Certification: Cloud Data Engineer
- Machine Learning A–Z: Hands-On Python & R in Data Science (Udemy)
Timeline
Data Engineer
Grubtech
11.2021 - 10.2023
Associate Software Engineer Trainee (Data Science)
Zone 24x7
06.2019 - 07.2020
Master of Data Science - Data Science
University of Western Australia
Bachelor of Engineering (Hons) - Software Engineering
University of Westminster
Similar Profiles
SAJAR IMRANSAJAR IMRAN
Lead GCC Partnerships Manager at GrubtechLead GCC Partnerships Manager at Grubtech
Erandi WijerathneErandi Wijerathne
Senior Software Quality Assurance Engineer at Grubtech Private LimitedSenior Software Quality Assurance Engineer at Grubtech Private Limited
ASHWITA GAJAREASHWITA GAJARE
Data Engineer at KFin Technologies Pvt. Ltd.Data Engineer at KFin Technologies Pvt. Ltd.
Anupriya KhareAnupriya Khare
Data Engineer at AmgenData Engineer at Amgen
Aarif AnsariAarif Ansari
Data Engineer at CGS (Computer Generated Solutions)Data Engineer at CGS (Computer Generated Solutions)