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Hi, I am Shanto

Shanto Khandoker

B.Sc in Oceanography & Hydrography at BSMRMU

I’m just about to finish my graduation, majoring in Oceanography & Hydrography from Bangabandhu Sheikh Mujibur Rahman Maritime University, Bangladesh and excited to find a master’s degree in Physical Oceanography from any renowed University. I’m very passionate in research work, specially in Oceanographic research field. I have gathered some field research experience in the eastern Bay of Bengal coast during our field work in 2nd semester, 4th semester and 6th semester.

Leadership
Team Work
Hard Working
Problem Solving
Programing Skill
Punctual

Skills

Experiences

1
Treasurer
BSMRMU Sports Club.

Nov 2018 - Present, Dhaka,Bangladesh

BSMRMU Sports Club is engaged with all sports and physical activities in BSMRMU campus.

Responsibilities:
  • Arrange different indoor and outdoor sports tournament in the University Campus.
  • Active Participant in several sports like Cricket, Football, Badminton, Table tenis etc.
  • Manage budgets on game arrangement.

Education

B.Sc in Oceanography & Hydrography
CGPA: 3.2 out of 4
Higher Secondary School Certificate (HSC in Science)
GPA: 4.67 out of 5
Secondary School Certificate (SSC in Science)
GPA: 5 out of 5

Projects

Trends and Seasonal Cycle of Sea Surface Temperature (SST) in the Bay of Bengal
Chief Contributor March 2020 - Present

This project is under the supervision of Prof. Dr Mohammad Raknuzzaman, funded by Center for Climate Change Study & Resource Utilization (CCCSRU), University of Dhaka.

Recent Posts

Accomplishments

Introduction to R
datacamp November 2020 - November 2020

This course helps to master the basics of data analysis by manipulating common data structures such as vectors, matrices, and data frames. This course has six chapters including Intro to basics, Vectors, Matrices, Factors, Data frames and Lists.

Introduction to Importing Data in R
datacamp November 2020 - November 2020

In this course, I learnt to read CSV, XLS, and text files in R using tools like readxl and data.table. This course has four chapters including Importing data from flat files with utils, readr & data.table, Importing Excel data, Reproducible Excel work with XLConnect.

Introduction to Tidyverse
datacamp November 2020 - November 2020

This course helped to Get started on the path to exploring and visualizing data with the tidyverse, a powerful and popular collection of data science tools within R. This course has four chapters including Data wrangling, Data visualization, Grouping and summarizing, Types of visualization.

Introduction to Data Visualization with ggplot
datacamp Nov 2020 - November 2020

This course helps to learnt to produce meaningful and beautiful data visualizations with ggplot2 by understanding the grammar of graphics. This course has four chapters including Introduction, Aesthetics, Geometries, Themes.

Data Manipulation with dplyr
datacamp Nov 2020 - November 2020

This course helped to learn to transform and manipulate your data using dplyr. It also helped with basic transformations of data such as aggregate your data and add, remove, or change the variables. This course has four chapters including Transforming Data with dplyr, Aggregating Data, Selecting and Transforming Data, Case Study The babynames Dataset.

Intermediate R
datacamp Nov 2020 - November 2020

In this R training, I learnt about conditional statements, loops, and functions to power your my R scripts. This course has five chapters including Conditionals and Control Flow, Loops, Functions, The apply family, Utilities.

Correlation and Regression in R
datacamp Nov 2020 - November 2020

In this course, I learnt how to describe relationships between two numerical quantities and also characterize these relationships graphically, in the form of summary statistics, and through simple linear regression models. This course has five chapters including Visualizing two variables, Correlation, Simple linear regression, Interpreting regression models, Model Fit.

Linear Regression and Modeling
Coursera August 2020 - September 2020

In this course, I learnt the fundamental theory behind linear regression and, through data examples, learn to fit, examine, and utilize regression models to examine relationships between multiple variables, using the free statistical software R and RStudio. This course has four chapters including About Linear Regression and Modeling, Linear Regression, More about Linear Regression, Multiple Regression and also a Final Project submission.

Achievements

Best Presenter

Champion

Graduation

Award Winner