Venkata Durga Sesha Sai Anusandeep Pamarthi

At G Technologies Pty Ltd, our team is enhancing electronic health record (EHR) systems by integrating advanced data models and algorithms, with my role focusing on optimizing patient data management. This experience builds upon my robust foundation in Python and SQL gained during my internship at VulcanTechs, where our efforts led to a significant improvement in patient readmission rate predictions.

As I approach the completion of my Master's in Health Information at Michigan Tech, my research assistantship has empowered me to contribute to mental health advancements through AI and NLP, underlining my commitment to leveraging technology for healthcare innovation. My education and hands-on experience have honed my competencies, aligning with my goal to excel in health informatics and clinical data analytics.

College of Computing, Michigan Technological University September 2022- April 2023 Graduate Research Assistant • 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. Vulcan Techs |Data Analyst Intern(Remote) May 2023- August 2023 • Gained hands-on experience in data cleaning and analysis of healthcare data using Python and SQL. • Efficiently processed and analyzed large datasets to extract meaningful insights and support data-driven decision-making. • Analyzed patient readmission data using predictive modeling techniques, resulting in a 15% improvement in readmission rate prediction accuracy. G Technologies | Data Science Intern (Remote, EHR Application) Jan 2024 – April 2024 • Acquired comprehensive knowledge of EHR application 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.

Activities and societies: Mindtrekkers :
• Delivered interactive workshops & demos across different tours.
• Engaged students & fostered their curiosity in various STEM fields.
• Developed strong communication and teamwork skills by engaging with fellow volunteers and staff in various tasks and activities.Activities and societies: Mindtrekkers : • Delivered interactive workshops & demos across different tours. • Engaged students & fostered their curiosity in various STEM fields. • Developed strong communication and teamwork skills by engaging with fellow volunteers and staff in various tasks and activities.

RELEVANT COURSEWORK: 
Machine learning | Big Data Analytics | Artificial Intelligence | Clinical Decision Support System | Healthcare Security and Privacy | Population Health Informatics | HIPAA | HL7 | GDPR | EHR.
CERTIFICATIONS
• Artificial Intelligence in Healthcare(Graduate Certificate)
• Public Health Informatics(Graduate Certificate)
Knowlwdge Acquired:
Acquired practical skills in EHR systems, focusing on data management, security, and interoperability.
• Gained expertise in analyzing large-scale health data to identify trends and inform policy.
• Conducted extensive projects using advanced techniques to support evidence-based healthcare decisions.
• Well-versed in HIPAA regulations ensuring healthcare data confidentiality, HL-7 standards, HITECH provisions for 
EHR adoption, and GDPR data privacy and security standards