Data Analyst Health

Mitali Sribhashyam

979-***-**** *****************@*****.***

https://www.linkedin.com/in/mitali- sribhashyam/

EDUCATION

Masters of Public Health (Epidemiology and Biostatistics), GPA:3.77 Texas A&M University, College Station, TX August 2020 Bachelor of Dental Surgery

Maharashtra University of Health Sciences, Nashik, India September 2015 SKILLS

• Microsoft Office, SAS, R, STATA,SPSS, ArcGIS, Data analysis and visualization, Scientific writing and Grant writing, linear and logistic regression, longitudinal & survival data analysis and survey statistics.

WORK EXPERIENCE

Texas Department of State health Services, Austin- Research Data Analyst Intern May 2020- August 2020

• Conducted literature review and led data cleaning, manipulation, analysis, and interpretation of results of birth defects data obtained from electronic hospital discharge records and vital records for Kommerell Diverticulum using SAS.

• Studied the prevalence of it from 1997-2019 and found out that the prevalence was higher among males.

• Independently designed and presented a report to the Birth Defects Registry team and prepared a manuscript.

Houston Health Department, Houston- Epidemiology Intern June 2019 - July 2019

• Led an oral hygiene awareness program and Project Saving Smiles.

• Analyzed data to test the efficacy of dental sealants among second grade children in Houston schools by using the follow up data using SAS.

• Produced a statistical report to find out that ~70% children had retention of sealants after 6 months. MDIndia Healthcare Services Pvt. Ltd, Pune, India- Healthcare Analyst April 2017 - May 2018

• Streamlined and analyzed the data of over 50 cases/ day of Medical health insurance claims and identified the fraud ones

• Prepared daily case reports to provide patients with immediate access to medical while ensuring compliance to established guidelines.

Ashwini Hospital, Solapur, India- Associate Dentist October 2016 - March 2017

• Managed and treated 10-20 critical clinical cases per day counselled patients to improve oral hygiene by educating them about hygienic practices. Trained & led a team of 4 dental assistants. Texas A&M School of Public Health- Research Assistant October 2018-August 2020

• Conducting survival analysis to study the survival of Triple negative breast cancer patients and developing cox proportional models.

• Elder Abuse Project- Assisted with IRB approval, screened cases and managed database RedCap.

• Designed analysis plan, maintained data quality assurance, merged datasets, wrote syntax and conducted statistical analysis to identify the trend of Elder Abuse from 2015-2019 in Texas.

• Study of Methicillin Resistant Staphylococcus Aureus- Performed epidemiologic data analysis of in- patient hospitalizations in Texas hospitals from 2006-2018 to identify trends and causalities resulting in higher number of MRSA cases during the study period using SAS.

• Designed a statistical report, data visualization tools which showed that Starr County, Dallas county, and Hillister county are the top 3 counties having the highest frequency of MRSA cases.

• Rose Academies- Designed a survey for sub Saharan African parents for children suffering from acquired deafness due to Meningitis to increase the awareness and assess incidence of stigma and related issues.

• Implemented citation search strategy for literature review and conducted a scoping review on Tuberculosis: A Public health emergency at the US- Mexico border. Abstract accepted at TPHA conference. ACADEMIC PROJECTS

• Biostatistics- Performed data cleaning, multivariate linear regression analysis using BRFSS dataset on how socio behavioral and chronic diseases affect the ratings of general health and tested the significance of each covariate with the outcome variable using STATA.

• Categorical data analysis- Developed a logistic regression model and conducted predictive analysis to predict the probability of death at hospital discharge of ICU patients using SAS.

• Epidemiology- Interpreted the association between the use of e-cigarettes and chronic obstructive pulmonary disease and performed data analysis using SAS and developed a logistic regression model by using NHANES data which showed a positive association.

• SAS programming- Evaluated the association between paternal age and low birth weight by analyzing the CDC low birth weight data and a developed a logistic regression model that showed a positive association between both of them.

• Spatial Epidemiology (ArcGis)- Designed a geospatial representation of the prevalence of obesity and asthma and its spatial relationship in the state of Colorado using ArcGIS. VOLUNTEERING EXPERIENCE:

• UNITED NATIONS- Analyzed data of Covid-19 cases from December to June 2020 and developed a report.

• Case investigation of Cancer patients near Creosote plant at Somerville, Texas.

Contact this candidate