Swaroop Acharjee

AI Researcher

Bengaluru, Karnataka, India12 yrs 8 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Expert in Data Science and Healthcare Analytics.
Developed scalable solutions using Machine Learning.
Led significant optimizations in data processing workflows.

Stackforce AI infers this person is a Data Science expert in Healthcare Analytics with strong technical capabilities.

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Skills

Core Skills

Data EngineeringData Science

Other Skills

Deep LearningMicrosoft Power BIDockerKubernetesManagementSQLArtificial Intelligence (AI)Team LeadershipJavaPython (Programming Language)Data AnalysisAnalytical SkillsPythonPostgreSQLAWS Lambda

About

I am a strategic and self-driven professional with nearly 2 years of rich and extensive experience in Data Science, Change Management, Program Management, Data Mining, Statistical Analysis & Business Intelligence. I have experience in working with large medical datasets, especially FHIR. Additionally, I have experience in developing and testing HEDIS quality measures as well MSSP Quality Measures. Used the latest data and visualization tools and software to provide the business with insights on customers and make recommendations for improvement. Evaluated the effectiveness and accuracy of new data sources and provided timely communications on significant issues and developments; developed customized data models and algorithms to apply to data sets. Identified, developed, and implemented appropriate statistical techniques, algorithms, and Deep Learning / ML Models to create new, scalable solutions that resolved business challenges. Experienced in working with vast unstructured data sets and solving advanced business problems leveraging Machine Learning, statistical modeling, and quantitative analysis. Supported as well as coordinated User Acceptance Testing (UAT) for production defects and new requirements.

Experience

12 yrs 8 mos

Total Experience

4 yrs 5 mos

Average Tenure

4 yrs 9 mos

Current Experience

Innovaccer

5 roles

Lead Data Analyst

Jan 2026 – Present · 4 mos

Senior Data Analyst

Promoted

Jan 2024 – Feb 2026 · 2 yrs 1 mo

Data Analyst

Sep 2023 – Feb 2024 · 5 mos

Data Associate

Promoted

Jan 2022 – Sep 2023 · 1 yr 8 mos

Leading the team to formulate and implement the standardized end-to-end solution to ingest, validate and process FHIR medical data. It has become a critical point in the platform. Optimized the whole process to efficiently consume large files (> 1 TB) leveraging orchestration tools like Kubernetes and Docker, thereby boosting the performance benchmark by close to 500%.
Working on the automated configuration-based query builder to generate queries for each of the HEDIS NCQA quality, visit, and utilization measures and generate a consolidated report.
It is a one-stop solution to get the correct bird's eye view of the data to drive effective business decisions.
Working on developing automated algorithms to calculate NCQA Quality Measures and MSSP Quality Measures.
Researched and automated the MSSP Attribution process as a platform feature, resulting in a decrease in manual manpower and human errors, thereby accelerating the end-to-end procedure.
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.

Deep LearningMicrosoft Power BIDockerKubernetesManagementSQL+8

Data Analyst

Aug 2021 – Feb 2022 · 6 mos

Created Parser to read large files(>8Gb) of type X-12 271, through Python efficiently through multiprocessing and create curated JSON/CSV reports.
Worked on FHIR Marshal and FHIR Shepherd [Python, Pydantic, Postgresql, AWS lambda]. A complete end to end pipeline that helps in validating and ingesting FHIR data. Optimized the full process to efficiently ingest large files (> 1 TB)
Worked on creating utility functions in AWS Lambda [S3, AWS Lambda, Triggers, EC2] and ADLS containers.
Currently working on creating a script to parse through the historical SQL queries to automatically generate the data mappings which in turn will provide support for the automapping tool for in-depth data analysis.
Created utility pipelines and programs to read files from ADLS containers from various regions and projects, manipulate them according to the business needs, and transfer them efficiently on the fly.

Analytical Skills

Jadavpur university

Researcher

Jan 2021 – Aug 2021 · 7 mos · Kolkata, West Bengal, India

Brain MR Image segmentation using Type-2 Fuzzy Logic
1. Responsible for collecting and formulating the automation of processing of Brain MRI Images from various sources.
2. 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.
3. Tools:
a. Fuzzy Statistics
b. Python
c. Numpy and visualization tools
d. Medical imaging

Acevidya

Full-stack Developer

Dec 2020 – Feb 2021 · 2 mos · Kolkata, West Bengal, India

1. Created a CI/CD pipeline, containerized the stack using Docker and deployed it to GitHub CI on Digital Ocean and saved costs on hosting and, made the development and deployment cycle hassle-free.
2. Remodeled the Django admin panel to automate on-the-fly PDF to JPEG conversions for staff uploads, resulting in a decrease in manual manpower

Kampusprep

Full Stack Engineer

Oct 2019 – Apr 2021 · 1 yr 6 mos · Kolkata, West Bengal, India

1. Created high-quality technical digital content and attained a growth of 40% subscribers and over 7K views.
2. Engineered and delivered a Codeigniter Admin Panel for uploading questions for a quiz which reduced the time for the admins to upload a quiz and streamlined the whole process.
3. Developed an API and an Angular JS frontend for the quizzing systems capable of performing optimally even on low resources and various screen sizes.

Self-employed

Private Tutor

Sep 2013 – Aug 2021 · 7 yrs 11 mos · Kolkata, West Bengal, India

1. Founded and sustained an offline (now fully online) initiative to teach programming to high school students and expanded up to 50+ students per batch.
2. Envisioned and engineered an android app for students which seamlessly integrated technology and made teaching and the learning process effective and time-efficient and lessened the operational cost