About

Swaroop Acharjee is a proactive Data Analyst with a diverse background in software engineering, data analytics, and project planning and leadership. With hands-on experience in niche technologies like AWS, Lambda, S3 buckets, and various statistical and learning models, he has created and deployed rapid prototype solutions to demonstrate ideas and prove concepts. Swaroop has extensive research experience in medical imaging and fuzzy calculus and has a history of teaching. He is patient, hardworking, and great at leading the team from the front, seeing every role as an opportunity to learn more. Currently, Swaroop works as a Data Associate at Innovaccer, where he leads the team to formulate and implement standardized end-to-end solutions to ingest, validate and process FHIR medical data. He has optimized the full process to efficiently ingest large files (> 1 TB) leveraging orchestration tools like Kubernetes and Docker and thereby boosting the performance benchmark close to 500%. Swaroop has collaborated with the product team to create internal code libraries [Python, Pydantic, Postgresql, AWS Lambda and S3, Kubernetes, Snowflake, MongoDB, Docker, Redshift, Scala, Spark, Microsoft Azure] after identifying the standardized client requirements. Prior to Innovaccer, Swaroop worked as a Researcher at Jadavpur University, where he was responsible for collecting and formulating the automation of processing of Brain MRI Images from various sources. He developed a state-of-the-art model using Type-2 Fuzzy Logic for segmenting various brain tissues region from the MRI Images and improved the classification accuracy above 94% over noisy data. Swaroop also worked as a Full-stack Developer at AceVidya, where he created a CI/CD pipeline, containerized the stack using Docker, and deployed it to GitHub CI on Digital Ocean, saving costs on hosting and making the development and deployment cycle hassle-free. Swaroop holds a Master of Technology in Computer Technology from Jadavpur University and a Bachelor's Degree in Information Technology from RCC Institute of Information Technology. He has a strong tech stack that includes AWS, Kubernetes, Docker, Python, SQL, Snowflake, Spark, MongoDB, Azure, Scala, CI/CD, ML, Pandas, and Integration. With almost two years of relevant experience, Swaroop is a valuable asset to any team looking for a highly skilled and motivated Data Analyst.