Md. Ariful Islam Sanim Email & Phone Number
Who is Md. Ariful Islam Sanim? Overview
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Md. Ariful Islam Sanim is listed as Graduate Council Representative at University of South Carolina, based in Dhaka, Bangladesh. AeroLeads shows a matched LinkedIn profile for Md. Ariful Islam Sanim.
Md. Ariful Islam Sanim previously worked as Graduate Teaching Assistant at University Of South Carolina and Lecturer at Brac University. Md. Ariful Islam Sanim holds Master Of Science - Ms, Applied Statistics from University Of Dhaka.
Email format at University of South Carolina
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About Md. Ariful Islam Sanim
As a Statistician and data science enthusiast, my passion is finding research gaps and applying statistical knowledge to fill them. Following my passion for learning, I am doing my Ph.d. at the Department of Statistics, University of South Carolina.I have almost one year of teaching experience as a Lecturer in a reputed university in Bangladesh (BRAC University) and nearly two years of research experience in an international organization icddr,b. In addition, I worked as a research assistant at ISRT, University of Dhaka.I received both of my bachelor's and master's degrees in applied statistics from ISRT, University of Dhaka.I use R, Python, and SAS during data analysis and simulation study. My research interest includes high dimensional data analysis, machine learning, and causal inference.
Md. Ariful Islam Sanim's current company
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Md. Ariful Islam Sanim work experience
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Graduate Teaching Assistant
Current
Lecturer
Major duties of my job include teaching classes to Brac University students and performing statistical research.
Research Officer
Utilizing statistical expertise to address research difficulties, assisting in protocol development and designing methodological issues. Writing proposals for grants which are based on new statistical methodology and predicting preterm birth using machine learning algorithms. Developing sampling strategy for collecting data, supervising field team on data collection and planning for data analysis. Analyzing survey data, creating reports, giving presentations, and writing manuscripts based on research.
Research Assistant
Critical thinking about appropriate statistical models, designing research methodology and data collection methods for implementing the research objective accordingly. Reviewing literature, identifying gaps and recommending suitable course of action. Analysing laboratory and survey data, making reports based on findings.
Research Assistant
Reviewing literature, Conducting simulation-based studies and applications on real-life datasets using R programing.
Student Tutor
Instructed first-year and second-year undergraduate students in different statistical courses including Probability distributions, Elements of applied statistics, Calculus, Design of experiment, Sampling techniques, and Statistical inference.
Md. Ariful Islam Sanim education
Master Of Science - Ms, Applied Statistics
Bachelor Of Science - Bs, Applied Statistics
Hsc, Science
Ssc, Science
Doctor Of Philosophy - Phd, Statistics
Frequently asked questions about Md. Ariful Islam Sanim
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What company does Md. Ariful Islam Sanim work for?
Md. Ariful Islam Sanim works for University of South Carolina.
What is Md. Ariful Islam Sanim's role at University of South Carolina?
Md. Ariful Islam Sanim is listed as Graduate Council Representative at University of South Carolina.
Where is Md. Ariful Islam Sanim based?
Md. Ariful Islam Sanim is based in Dhaka, Bangladesh while working with University of South Carolina.
What companies has Md. Ariful Islam Sanim worked for?
Md. Ariful Islam Sanim has worked for University Of South Carolina, Brac University, Icddr,B, and University Of Dhaka.
How can I contact Md. Ariful Islam Sanim?
You can use AeroLeads to view verified contact signals for Md. Ariful Islam Sanim at University of South Carolina, including work email, phone, and LinkedIn data when available.
What schools did Md. Ariful Islam Sanim attend?
Md. Ariful Islam Sanim holds Master Of Science - Ms, Applied Statistics from University Of Dhaka.
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