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2024 - Present
Research & Development Assistant
University of Massachusetts Dartmouth
Massachusetts, USA
- Developed ML pipelines to analyze high-dimensional velocity data, improving scalability in fluid dynamics research.
- Implemented Variational Autoencoders (VAE) and Transformers for accurate time-series prediction.
- Optimized model training using SLURM, managing 1000+ concurrent GPU jobs efficiently.
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Data Engineer
Rakuten Symphony
Tokyo, Japan
- Built ETL pipelines using Apache airflow for efficient 5G network data processing.
- Migrated legacy monolithic applications to microservices architecture, improving scalability.
- Implemented Kafka-based real-time data streaming pipelines to handle large-scale network data.
2021 - 2023
Data Engineer
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2021 - 2021
Data Analyst Intern
Rudra-x Software Solutions
Indore, India
- Analyzed insurance data to identify patterns and improve decision-making.
- Performed end-to-end research and analysis to drive data-driven decisions for product optimization.
- Supported BI teams in ensuring accurate reporting and dashboards.
about me
Hi, I'm Roshni Pal! I’m a Data Engineer and AI enthusiast passionate about turning complex data into meaningful insights. With experience in building scalable data pipelines, automating ETL workflows, and developing AI-driven solutions, I love solving real-world challenges with data.
I work with tools like Python, SQL, and cloud platforms such as AWS to design and implement end-to-end data solutions that power business decisions. Whether it's creating RESTful APIs, setting up real-time data streaming with Kafka, or optimizing workflows, I focus on making data work smarter and faster.
I'm always eager to learn, explore new technologies, and find innovative ways to improve processes. For me, data isn’t just numbers—it’s the key to unlocking opportunities and driving progress.
