Data Analyst Clinical Informatics

DIVYA HEMAL MANDALAYWALA

**********@*****.*** 564-***-**** New York City, NY

EDUCATION

New York University – NYU Grossman School of Medicine Jul 2022 - Aug 2023 Master’s Biomedical Informatics

Relevant courses – Python Programming, R Programming, Machine Learning, Health Informatics, Bioinformatics, Quantitative Biology, Biostatistics, Healthcare Consulting, Health Economics, Predictive Risk Modeling Government Dental College and Hospital Oct 2016 - Oct 2021 Bachelor’s of Dental Surgery

PROFESSIONAL EXPERIENCE

Research Analyst, McDevitt Research Lab Sept 2022 – Present

Performed data quality control and validation, creating new algorithms for cytology-on-a-chip assay aiding in the diagnosis of oral potentially malignant lesions

Analyzed cell-morphological data by using statistical tools and inter-correlation tests in python and R

Used biostatistics and bioinformatics algorithms to integrate multiple levels of biological information with functional genomic data, for hypothesis generation, target identification, and prioritization

Kept up to date on new computational methodologies and incorporate them into internal pipelines Data Analyst, Clear Insights Bio-Consulting Jan 2022 - Jun 2022

Worked proactively with biologists to define analysis questions, interpret results and prioritize the hypothesis

Built clinical informatics infrastructure for data management, data integration, and data visualization

Assisted senior consultants in developing a research plan and initiating a new translational biomarker study

Contributed to external collaborations relevant to drug discovery

Performed detailed analysis of key trends and findings, summarized and presented findings to managers

Categorized large datasets to organize data according to ongoing clinical trials Dentist, Govt. Dental College, and Hospital Nov 2020 - Oct 2021

Designed an algorithm using image detection techniques to identify different parameters in human dentition; distances and angles between anterior teeth to prove the uniqueness of human dentition using bitemarks

Created ad-hoc queries and reports for data analysis to support the analytic needs of the organization

Surveyed 300 dentists on their perception of dental anatomy and analyzed dental preference trends using SPSS

Achieved clinical organizational skills & developed experience in patient record maintenance PROJECTS

Analyzed single-cell RNA-sequencing data on ACE2 receptor expression on lungs, heart, bladder, and ileum vulnerable to 2019-nCoV infection using SCANPY

Predicted heart failure using clinical data by applying machine learning classification algorithms and testing inter-model accuracy

Predicted pulmonary fibrosis progression using a bayesian linear regression approach EXTRACURRICULAR

Published “Perception of dental anatomy among dental students, dental practitioners, and dental academicians: a questionnaire-based cross-sectional study” in Journal of Academy of Dental Education Jun 2022

Published “Variations in the palatal rugae patterns in Indian populations. A need for a multi-centric or multi- regional study under forensic context” in Academic Journal of Forensic sciences Apr 2022

Secured 3rd position in Best scientific e-Poster presentation” Geographical Variations in Palatal Rugae Patterns in Indian Population”, International Association of Scientists and Researchers May 2021 PROFESSIONAL SKILLS

Core Competencies : Data Visualization, Data Manipulation, Data Analysis, Statistics, Clinical Research

Programming Languages : R, Python, SPSS, SQL, MATLAB

Tools : MS Office, MS Excel, Adobe Acrobat, Tableau

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