{"$schema":"https://raw.githubusercontent.com/jsonresume/resume-schema/v1.0.0/schema.json","basics":{"name":"Dr Shashidhar Ameenpur","label":"Data & Research Engineer","image":"https://saywise-production-profilepicturestoragebucket-kbfooccc.s3.amazonaws.com/profile-pictures/896d2bba-b353-40eb-acf0-60f57c5d1ce2/linkedin-1791288957162.png","summary":"Data & Research Engineer with an MSc in Health Data Science and Microsoft Fabric certification, specializing in clinical data pipelines, wearables analytics, and signal processing.","location":{"city":"London, United Kingdom"},"profiles":[{"network":"LinkedIn","username":"dr-shashidhar-ameenpur-86130253","url":"https://linkedin.com/in/dr-shashidhar-ameenpur-86130253"}]},"meta":{"canonical":"https://saywise.com/member2233","version":"v1.0.0","lastModified":"2026-10-06T12:21:47.581Z"},"x_saywise":{"handle":"member2233","pronouns":null,"availability":null,"oneLiner":"Data & Research Engineer with an MSc in Health Data Science and Microsoft Fabric certification, specializing in clinical data pipelines, wearables analytics, and signal processing.","profileUrl":"https://saywise.com/member2233","markdownUrl":"https://saywise.com/member2233/profile.md","pdfUrl":"https://saywise.com/member2233/resume.pdf","archetype":{"code":"HE-MG","name":"Junction Trailblazer","url":"https://saywise.com/sca/813cc0b370d5","rarity":"One of the first Junction Trailblazers on Saywise"}},"work":[{"name":"Cambridge Spark","position":"Data Engineering Apprenticeship","location":"London","url":"https://cambridgespark.com","startDate":"2025-02-01","endDate":"2026-08-01","summary":"Developed scalable data architecture, streaming systems, and cloud-native engineering capability through applied delivery. Built ingestion frameworks, data lakes, real-time pipelines, and automated orchestration workflows. Applied Python, SQL, Spark, and Docker to production-oriented data engineering projects."},{"name":"South London and Maudsley NHS Foundation Trust","position":"Clinical Data Analyst","location":"London, England, United Kingdom","url":"https://slam.nhs.uk","startDate":"2022-02-01","summary":"Built clinical datasets and automated analytics pipelines using SQL, Python, and Azure services. Designed and deployed an end-to-end automated report generation pipeline for Empatica E4 wearable data—processing accelerometer, BVP, EDA, HR, and temperature signals from AWS S3, applying signal cleaning and feature extraction in Python, orchestrating via Luigi, and generating patient-level clinical reports in R. Reduced per-patient processing from hours of manual work to a fully automated workflow."},{"name":"Cotiviti","position":"Sr. Content Lead - Payment Policy & EMR Data","location":"Hyderabad, Telangana, India","url":"https://cotiviti.com","startDate":"2014-10-01","endDate":"2020-02-01","summary":"Maintained clinical payment rules and developed new rules per regulatory guidelines and client requests. Created and managed SQL Server tables for EMR health data across EPIC and MedTech systems. Ran stored procedures and updated tables to maintain data quality across large-scale clinical datasets. Collaborated with clinical and engineering stakeholders to translate policy requirements into data-layer logic."},{"name":"UnitedHealth Group","position":"HCC Medical Coding Specialist","location":"London","url":"https://unitedhealthgroup.com","startDate":"2012-04-01","endDate":"2013-06-01","summary":"Performed Hierarchical Condition Category (HCC) medical coding to support risk adjustment and CMS reimbursement accuracy. Reviewed clinical documentation to assign accurate ICD-10 codes aligned with HCC model requirements. Supported quality audits and coding reconciliation processes to ensure compliance with CMS guidelines."}],"education":[{"institution":"Cambridge Spark","studyType":"Data Engineer Level 5","startDate":"2025-02-01","endDate":"2026-08-01"},{"institution":"Swansea University","studyType":"Msc Health data science in Data Science","startDate":"2021-09-01","endDate":"2022-01-01"},{"institution":"Rajiv Gandhi University of Health Sciences","studyType":"bachelor of ayurveda medicine and surgery in Ayurvedic Medicine/Ayurveda","startDate":"2004-01-01","endDate":"2009-01-01"}],"projects":[{"name":"NHS Automated Report Generation Pipeline","description":"Designed and deployed automated pipeline processing Empatica E4 wearable data (accelerometer, BVP, EDA, HR, temperature) from AWS S3. Applied signal cleaning and feature extraction using Python (pandas, scipy), orchestrated task workflows via Luigi, and generated patient-level PDF reports using R and RHRV for HRV analysis. Implemented PHI redaction layer using Presidio and NuExtract with AWS Secrets Manager for security."},{"name":"AWS S3 Data Engineering Pipeline","description":"Built scalable ingestion framework and data pipeline leveraging AWS S3 for storage and Python/Spark for processing. Implemented automated orchestration and validation workflows as part of Cambridge Spark apprenticeship."},{"name":"Time-Series Feature Engineering - Empatica Wearable Data","description":"Developed feature extraction pipeline for physiological time-series data from Empatica E4 wearables. Applied signal processing techniques to clean raw sensor data and generate clinical-grade features for downstream analytics and research applications."},{"name":"Local PHI Redaction Tool","description":"Built local PHI redaction tool combining Presidio, OCR, and NuExtract (via Ollama) to identify and mask sensitive information in clinical documents. Designed for on-device processing to maintain data privacy without external API calls."},{"name":"Automated Multi-File PowerPoint Table Extractor","description":"Developed Python utility to extract tables from multiple PowerPoint files, enabling automated data consolidation and transformation from presentation formats into structured datasets."}],"skills":[{"name":"Data Engineering"},{"name":"Data Pipelines"},{"name":"Extract, Transform, Load (ETL)"},{"name":"Data Governance"},{"name":"Data Integration"},{"name":"Ingest and transform data"},{"name":"Implement and manage an analytics solution"},{"name":"Monitor and optimize an analytics solution"},{"name":"R (Programming Language)"},{"name":"Transact-SQL (T-SQL)"},{"name":"SQL"},{"name":"Microsoft Power BI"},{"name":"Electronic Medical Record (EMR)"},{"name":"Microsoft Azure"},{"name":"Data Analysis"},{"name":"Python (Programming Language)"},{"name":"Healthcare Management"},{"name":"Healthcare Consulting"},{"name":"Medical Coding"},{"name":"Healthcare"},{"name":"Revenue Cycle"},{"name":"Healthcare Industry"},{"name":"ICD-9"},{"name":"Medical Billing"},{"name":"Medicaid"},{"name":"Working with Physicians"},{"name":"ICD-10"},{"name":"Data Analytics"},{"name":"Search Engine Technology"},{"name":"Generative AI"},{"name":"PySpark"},{"name":"Spark"},{"name":"AWS S3"},{"name":"Secrets Manager"},{"name":"Snowflake"},{"name":"ELT"},{"name":"Data Lakes"},{"name":"Luigi"},{"name":"Docker"},{"name":"Data Validation"},{"name":"Warehousing"},{"name":"Time-Series Analysis"},{"name":"Wearables"},{"name":"HRV Analysis"},{"name":"Signal Processing"},{"name":"Clinical Data"},{"name":"EPIC"},{"name":"MedTech"},{"name":"HCC Coding"},{"name":"CMS Policy"}],"certificates":[{"name":"Microsoft Certified: Fabric Data Engineer Associate","issuer":"Microsoft"},{"name":"AWS AI Practitioner Challenge","date":"2026-03-01","issuer":"Udacity"},{"name":"Associate Data Engineer in Snowflake","date":"2025-11-01","issuer":"DataCamp"},{"name":"Collaboration, Marketplace & Cost Estimation Workshop","date":"2025-10-01","issuer":"Snowflake"},{"name":"Hands-On Essentials: Data Engineering Workshop","date":"2025-10-01","issuer":"Snowflake"},{"name":"Hands-On Essentials: Data Warehousing Workshop","date":"2025-10-01","issuer":"Snowflake"},{"name":"Generative AI: The Evolution of Thoughtful Online Search","date":"2023-06-01","issuer":"LinkedIn"},{"name":"Microsoft Certified: Azure AI Fundamentals","date":"2021-06-01","issuer":"Microsoft"},{"name":"Microsoft Certified: Azure Data Fundamentals","date":"2021-06-01","issuer":"Microsoft"},{"name":"Microsoft Certified: Azure Fundamentals","date":"2021-06-01","issuer":"Microsoft"},{"name":"Microsoft Excel (Microsoft 365 Apps and Office 2019)","date":"2021-06-01","issuer":"Microsoft"},{"name":"SAS Programming 1: Essentials","date":"2021-06-01","issuer":"SAS"},{"name":"Data Fluency: Exploring and Describing Data","date":"2020-06-01","issuer":"LinkedIn"},{"name":"Learning Data Analytics","date":"2020-06-01","issuer":"LinkedIn"}]}