Medical Records Data Entry

DR. JAGADEESWARA PRASAD ADDAGALLA

Address: **** ******** ***, *******, *********, 38111 Phone: 713-***-**** Email: **********************@*****.*** LinkedIn: https://www.linkedin.com/in/dr-jagadeesh-addagalla-550832237 WORK EXPERIENCE

CIMS Medica India Pvt. Ltd., India — EMR Specialist & Scientific Content Editor April 2022 – July 2023 Led the CMS migration project as a team leader, managing clinical data with a strong focus on validation and regulatory compliance. Worked extensively with Electronic Medical Records (EMR) systems to ensure accurate data entry, maintenance, and integration for streamlined healthcare documentation. Oversaw diverse projects, including database management, medical write-ups, and drug profile development, while conducting data analysis using statistical tools to support research and decision-making. Developed and delivered high-quality scientific content across print and digital platforms, ensuring accuracy, clarity, and adherence to industry standards. Katuri Medical College and Hospital India — Clinical Pharmacist (INTERNSHIP) JUN 2020 – JUN 2021 During my internship, I ensured safe and effective medication by providing patient counseling, reviewing prescriptions, and managing drug therapies. I actively participated in clinical rounds, monitored adverse drug reactions, and supported antimicr obial stewardship efforts. Additionally, I managed drug inventories, contributed to chronic disease management and clinical trials, and utilized Electronic Medical Records (EMR) to document patient interactions, track medication histories, and enhance care coordination. My experience strengthened my ability to improve patient safety and healthcare outcomes through evidence-based pharmaceutical practices.

SKILLS

● Languages: Python, SQL, R, Linux, PHP

● Developer Tools: Jupyter Notebook, PyCharm, RStudio, Visual Studio, Excel, QGIS, ChatGPT Prompt Engineering, LangChain for LLM Application Development

● Frameworks: Scikit-learn, Pandas, Tensorflow, Numpy, Matplotlib, Seaborn, AutoML, OpenCV, CNN, NLP

● EHR: PCC, Sigmacare, Landa matrix, Visual, Campdoc, UltraCamp

● Regulations: HIPAA, GDPR, WHO Signal detection

EDUCATION

University Of Wisconsin Milwaukee, WI — Master’s in Health Informatics August 2023 - December 2024 GPA 3.933 Coursework: Applied Computing in Python Programming, Introduction to Health Informatics, Security and Privacy, Artificial Intelligence in Healthcare, Big Data Analytics, Population Health Informatics, Clinical Decision Support systems, Medical devices.

MAM College of Pharmacy, India — Doctor of Pharmacy October 2015 - October 2021 GPA 80.52% Coursework: Human Anatomy & Pathophysiology, Clinical, Hospital, Community Pharmacy, Pharmacology and Pharmacotherapeutics, Clinical research, Biopharmaceutics and Pharmacokinetics, Biostatistics and Research methodology. PROJECT

● Predictive Analytics in Healthcare: Developed predictive models to identify patient risk factors, reducing hospital readmissions by 15%.

● Healthcare Information System Design: Designed and implemented a hospital information system, improving workflow efficiency by 20%.

● Big Data Processing for Healthcare: Processed large-scale health data, enhancing scalability, reducing processing time by 30%.

● Electronic Prescription Management System (EPMS): Created a system to streamline prescription management, reducing administrative errors by 25%.

● Triple Negative Breast Cancer Study: Analyzed clinico-histopathological characteristics in women with breast cancer, contributing to improved treatment protocols.

CERTIFICATIONS

● SQL for Healthcare Professionals – Healthcare IT, data analysis, and SQL skills; Dec 2024.

● Hands-On Data Science using SQL, Tableau, Python, and Spark – Proficiency in Tableau, Python, and SQL; Dec 2024.

● SQL: Data Reporting and Analysis – Advanced SQL and data analysis skills; Dec 2024.

● Predictive Analytics for Healthcare – Expertise in predictive modeling and healthcare data; Dec 2024.

● From Excel to SQL – Transitioned data manipulation skills from Excel to SQL; Nov 2024.

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