Data Analyst

Megha M. Moncy Email : *******@**.***

https://www.linkedin.com/in/megha-m-moncy Mobile : +1-123-***-**** Education

•

Indiana University- Luddy School Of Informatics, Computing and Engineering Indianapolis, IN Master of Science in Health Informatics May 2024

•

People’s University Bhopal, India

Bachelor Of Dental Surgery (BDS) ; GPA: 3.8 November 2021 Relevant Coursework

• Python and Machine Learning

• R Programming and Applied Statistics

• EHR (Electronic Health Record) and Clinical Information Systems

• Clinical Research and Biomedical Analytics

• Project Management

Professional Experience

•

Indiana University: Purkayastha Lab of Health Innovation (PLHI) Indianapolis, IN Graduate Research Assistant January 2023 - Present

Human Activity Recognition: Led research projects for the analysis of Parkinson’s patients with Human Activity Recognition

OpenEMR: Assessment and upkeep of open source EHRs like- OpenEMR, and redesigning the EHR user-interface to enhance Accessibility for Blind users by integration of Screen Readers, to report all the findings at the AMIA 2023 Annual Conference.

VARK (Visual, Aural, Read, and Kinesthetic) Learning: Created VARK modules for training and development programs to engage learners with different learning preferences.

Published Research Papers: Co-author of ”Generalizability of Human Activity Recognition Machine Learning Models from non-Parkinson’s to Parkinson’s Disease Patients”

•

IU- Luddy School Of Informatics, Computing and Engineering Indianapolis, IN Graduate Teaching Assistant January 2023 - Present

INFO-501, Introduction to Informatics (Spring 2023): Mentored students with Python, SQL and Machine Learning Algorithms, while providing individualized feedback to improve their computational thinking and coding skills.

Machine Learning Projects: Assisted in developing relevant course material and designing Python and SQL programming assignments, along with handling the Machine Learning Projects.

•

People’s University Bhopal, India

Dental Intern November 2020- 2021

Specializations in Dentistry: Mandatory one-year Rotatory Internship Training, and gained experience in managing dental emergencies and providing patient care in a hospital setting.

Dental Hygiene Camps: Participated in Dental Awareness Camps for promoting preventive measures and good dental hygiene.

•

Pearl 32 Dental Clinic and Implant Centre Bhopal, India General Dentist January 2021 – June 2021

Dental Assistance: Facilitated the dental team with patient care and administrative tasks.

Preventive Care: Diagnosed and treated dental and oral health problems in patients of all ages, with a focus on preventative care and patient education.

Projects

• Prediction of Infant Mortality Rate in the USA States

Built and maintained data pipelines using Python and SQL to collect, process, and analyze data.

Worked with a team of analysts to perform data pre-processing analysis, data modeling, and data visualization.

Performed Linear Regression, Decision Tree, Random Forest, XGBoost and Support Vector Machine Models.

• Machine Learning Bootcamp

Built and maintained data pipelines using Python and SQL to collect, process, and analyze data on MIMIC dataset.

Conducted exploratory data analysis and data preprocessing using Python and R

Developed and maintained reports and dashboards using data visualization tools such as Tableau and Power BI.

• Generalizability of Human Activity Recognition (HAR) ML Models

Data from non-PD and PD subjects generated in real-world workout scenarios were gathered using BioStamp MC10 sensors.

Performed XGBoost, LSTM and BiLSTM Models to evaluate the impact of physical activities to slow the progression of Parkinson’s disease.

Conducted statistical analysis to validate models and gain insights into Human Activity Recognition in Parkinson’s Patients.

• Redesign of OpenEMR Interface for Blind Users

Assessed the usability and accessibility of EHRs, including the redesign of user interfaces to enhance accessibility for blind users by integrating screen readers.

Conducted data analysis and machine learning projects to improve the performance of open source Electronic Health Records (EHRs), including OpenEMR and OpenMRS.

Contributed to the development of research papers and presentations for national conferences, including the AMIA 2023 Annual Conference.

Certifications and Additional Courses

• Python For Everybody Course by Coursera- Advanced course on Python March 2022

• Data Science Certificate course by Top Mentor - SQL, R Programming, Machine Learning, Tableau, MS Excel and Power BI July 2022

Skills

• Programming Languages- Python, SQL, R

• Markup Languages- XML, HL7 and HTML

• Frameworks/Libraries- Tensorflow, PyTorch, Pandas, Scikit-Learn, Scipy, Matplotlib, Seaborn, Pyplot, ggplot, R programming packages, R shiny, data visualization tools- Tableau and Power BI

• Technologies- Machine Learning, Natural Language Processing (NLP), Clustering, Regression, Classification, Time Series Analysis, Database Management System (DBMS), GitHub

• Data Standards- SNOMED, ICD, LOINC, CPT, RxNorm, MeSH, MedDRA

Contact this candidate