احصائي
Ministry of Turkish Health
Total years of experience :2 years, 4 Months
· Data collection and organization.
· Preparing monthly and annual reports.
· Data visualization.
· Proposing solutions to some data-related problems.
· Providing suggestions to develop work.
.Welcoming and directing asylum seekers coming to the information desk and
ensuring that their entry and exit takes place in a controlled manner. .Welcoming
incoming visitors, keeping their records and directing them to the relevant units.
· Assisting by giving necessary guidance, answering incoming calls to the
Institution, performing fax and other related transactions. .
To inform the pre-registration unit so that the transactions of sensitive groups are
evaluated first
The goal of this study is to determine the possible risk factors affecting child
mortality under-5" in some lower middle-income countries such as Cameron,
Congo, Sudan, Vietnam, Pakistan (Punjab region), Pakistan (Sindh region),
Zimbabwe, Kyrgyzstan, El Salvador and Mongolia by using the Multiple Indicators
Cluster Survey 5 (MICS5) conducted by UNICEF in 2014, by using Poisson
regression model, negative binomial (NB2) regression model, zero-inflated
Poisson (ZIP) regression model and zero inflated negative binomial (ZINB)
regression model in the class of generalized linear models (GLMs). For this
purpose, education (as attended to a school or not attended to a school), wealth
index quintile (as poorest, second, middle, fourth and richest population wealth
quintiles), area of residence (as rural or urban), mother's age (as 1:15-19, 2:20-24,
3:25-29, 4:30-34, 5:35-39, 6:40-44, 7:45-49 years), breastfeeding status (as
received breast milk or not received breast milk) and pregnancy method (as used
any methods to avoid pregnancy or not) are taken as categorical independent
variables as possible risk factors affecting "child mortality under-5". Thus,
considering the socio-economic and demographic characteristics of the countries
discussed in this thesis study, Poisson, Negative Binomial, ZIP and ZINB
Regression Models, which are the special cases of GLMs class, are used to model
the statistical significant relationships between the "child mortality under-5" and
the possible risk factors for the lower-middle income countries. These GLMs are
compared by using AIC, BIC, AICC as IC and log-likelihood values. (This study is
master thesis)
Selcuk University, Science Faculty, Konya, Türkiye (2020- 2024) Ph.D. in statistics. Thesis: Modeling Count Data Using Some Distributions from Generalized Additive Models with Applications in R-Programming. Focus: Count Data, GAMLSS, Inflated Data, Truncate Data. Cumulative GPA : 93.75