Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

Hi, I’m Jaya Vardhan Premnath, a MSc Data Analytics student based in Dublin, Ireland, with hands-on experience in data cleaning, automation, and dashboard development using Python, SQL, Power BI, and Excel. I enjoy turning complex datasets into actionable insights that support data-driven decision making. Hi, I thrive in dynamic teams, love optimizing data workflows, and am passionate about building scalable data pipelines and visual dashboards that empower business performance. I’m eager to contribute my analytical mindset and practical coding skills to a collaborative data-driven environment.…Hi, I’m Jaya Vardhan Premnath, a MSc Data Analytics student based in Dublin, Ireland, with hands-on experience in data cleaning, automation, and dashboard development using Python, SQL, Power BI, and Excel. I enjoy turning complex datasets into actionable insights that support data-driven decision making. Hi, I thrive in dynamic teams, love optimizing data workflows, and am passionate about building scalable data pipelines and visual dashboards that empower business performance. I’m eager to contribute my analytical mindset and practical coding skills to a collaborative data-driven environment.

Jayavardhan Premnath

Data Scientist, Full Stack Developer, Back-End Developer, +2





Hi, I’m Jaya Vardhan Premnath, a MSc Data Analytics student based in Dublin, Ireland, with hands-on experience in data cleaning, automation, and dashboard development using Python, SQL, Power BI, and Excel. I enjoy turning complex datasets into actionable insights that support data-driven decision making. Hi, I thrive in dynamic teams, love optimizing data workflows, and am passionate about building scalable data pipelines and visual dashboards that empower business performance. I’m eager to contribute my analytical mindset and practical coding skills to a collaborative data-driven environment.…Hi, I’m Jaya Vardhan Premnath, a MSc Data Analytics student based in Dublin, Ireland, with hands-on experience in data cleaning, automation, and dashboard development using Python, SQL, Power BI, and Excel. I enjoy turning complex datasets into actionable insights that support data-driven decision making. Hi, I thrive in dynamic teams, love optimizing data workflows, and am passionate about building scalable data pipelines and visual dashboards that empower business performance. I’m eager to contribute my analytical mindset and practical coding skills to a collaborative data-driven environment.

Available to hire

Hi, I’m Jaya Vardhan Premnath, a MSc Data Analytics student based in Dublin, Ireland, with hands-on experience in data cleaning, automation, and dashboard development using Python, SQL, Power BI, and Excel. I enjoy turning complex datasets into actionable insights that support data-driven decision making.

Hi, I thrive in dynamic teams, love optimizing data workflows, and am passionate about building scalable data pipelines and visual dashboards that empower business performance. I’m eager to contribute my analytical mindset and practical coding skills to a collaborative data-driven environment.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Fluent

Work Experience

Data Engineer at DataMi Mobile Solutions Private Limited (Reach)

September 1, 2024 - September 1, 2024

Designed and implemented scalable CI/CD pipelines using AWS services (Lambda, CodePipeline, S3), optimized data processing workflows for large datasets and ensured accessibility of processed data for analytics and reporting. Supported real-time data availability by implementing triggers to ensure timely data ingestion and performance. Conducted query optimization and database performance tuning to resolve bottlenecks, boosting system speed and reliability. Developed Qlik Sense dashboards for visualizing business KPIs, enabling data-driven decision-making for clients.

Intern at DataMi Mobile Solutions Private Limited (Reach)

March 1, 2023 - March 1, 2023

Automated ETL workflows and built scalable data pipelines, enabling seamless data integration. Supported database operations on AWS DynamoDB and PostgreSQL for storage and retrieval. Assisted in creating dynamic dashboards for internal reporting using Qlik Sense. Developed scripts for data extraction and transformation, and streaming reporting processes.