Python SQL Tableau Power BI Electronic Health Record

Venkata Durga Sesha Sai Anu Sandeep Pamarthi

********@***.***• 331-***-**** • linkedin.com/in/venkata-sandeep-pamarthi Dedicated health informatics professional with experience in machine learning, big data analytics, and AI for healthcare solutions. Proficient in Python, SQL, Tableau, and Power BI, with strong research skills in mental health and medical imaging. Successfully developed predictive models and streamlined EHR systems to enhance patient care. Certified in AI in Healthcare and Public Health Informatics, seeking a full-time position focused on improving healthcare through innovative, data-driven solutions.

EDUCATION

Michigan Technological University, Houghton, Michigan Masters in health informatics GPA 4.0 April 2024

Acharya N.G.Ranga University, Lam, Guntur, Andhra Pradesh, India Bachelor of Science GPA 3.64 June 2021

SKILLS

Python SQL Tableau Power BI Electronic Health Record Clinical Decision Support Communication skills Project Management HIPAA HL7 MS office

Data Analytics: Scikit-Learn, Pandas, Numpy, Matplotlib, Regression, TensorFlow, Keras, NLP, Deep Learning PROFESSIONAL EXPERIENCE

College of Computing, Michigan Technological University (Graduate Research Assistant ) Oct 2022- May 2023

• Trained AI models using specialized real-world datasets (RWD) focused on mental health issues. Demonstrated expertise in applying NLP techniques to decipher complex language patterns.

• Collaborated closely with a diverse team of licensed mental health professionals.

• Researched and analyzed mental health literature, and real-world datasets to improve the development of new methodologies in identifying depression.

G Technologies Data Science Intern (EHR Application) Jan 2024 – April 2024

• Acquired comprehensive knowledge of EHR applications like Cerner, and Epic their functionality and operation.

• Streamlined patient data management, encompassing medical history, diagnoses, prescriptions, lab results, and treatment plans.

• Developed and implemented data models and algorithms for both the backend and frontend of EMR systems. PROJECT EXPERIENCE

G Technologies

Project: Development of an advanced EMR

Skills: NodeJS, React, SQL, DBeaver, Front-end development, Back-end, EHR Aim: The project aims to develop an advanced electronic medical record (EMR) system integrated with AI applications for healthcare facilities. The project's primary objective is to design and implement an intelligent EMR system that leverages AI algorithms and machine learning techniques to automate and streamline various aspects of medical record management. Role: I was actively involved in developing the EMR system, Database creation of nearly 100 tables, Installation of frontend tools& configuration, testing, and Data Validation.

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