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S.M. Sayem

Full time

Administrative Work

Verified

Year of Experience

N/A

Number of Projects Done

60

Hourly Wages

1000 BDT

Location

Dhaka

Reviews

Contact


About S.M. Sayem

Hello. I'm S. M. Sayem. I have completed my Bachelor of Science in Software Engineering from Daffodil International University. I’m particularly enthusiastic and highly motivated in machine learning. Skilled in programming languages such as Python, SQL, and Tensor Flow, with a focus on practical application and hands-on experience in building predictive models and implementing machine learning solutions.

skilljobs

Target Job

Full time

Target Industry

Work Email

smsayem8623@gmail.com

Work Mobile

+8801930727991

Portfolio Site

Facebook

https://www.facebook.com/sayem2212

Twitter

Linkedin

https://www.linkedin.com/in/smsayem

Education Information:

1

Bachelor in Information communication Technology (ICT) | Daffodil International University

Passing Year: 2024

January, 2020 - February, 2024

CGPA: 3 out of 4.00

2

Secondary School Certificate (SSC) in Science | Kasba Govt High School

Passing Year: 2017

January, 2012 - February, 2017

GPA: 4.50 out of 5.00

3

Higher Secondary School Certificate (HSC) in Science | Shashidal AL-Haj Mohammad Abu Taher College

Passing Year: 2019

April, 2017 - March, 2019

GPA: 4.75 out of 5.00

Work Experience

1

Student Associate | Daffodil International University

July, 2022 - Nov, 2023

As a Student Associate of Daffodil University's Transport Department, I managed the transport team's daily operations and handled administrative tasks. My responsibilities included coordinating transportation schedules, ensuring vehicles were properly maintained, and facilitating communication between students and the transport department. I also worked closely with the administrative staff to address any logistical issues and helped improve the overall efficiency of the transport services.



Professional Certificate and Training

1

Thinking in Object Oriented Programming: Basic Concept | GO EDU

The foundation of object-oriented programming, or OOP, is the creation of objects from classes—which are collections of data and action. Three essential ideas are abstraction to conceal complexity, polymorphism for adaptable behavior, and inheritance for code reuse. Code that adheres to these principles is more modular, maintainable, and representative of actual entities.

May, 2022  -  May, 2022

2

Stress Management: Techniques for a Balanced Life | GO EDU

Regular exercise, mindfulness exercises like meditation, and time management to prevent overwhelm are all important components of effective stress management. Other important factors include keeping up a nutritious diet, obtaining enough sleep, and asking friends and family for assistance. Taking up calming hobbies enhances emotional health and helps counteract daily stress.

June, 2024  -  June, 2024

3

Positivity – How To Build Positive Mentality | GO EDU

Gratitude practice, surrounding oneself with positive influences, and upholding a healthy lifestyle are all important components of cultivating a positive mindset. It is imperative to confront pessimistic ideas and concentrate on remedies, and establishing attainable objectives fosters optimism and self-assurance. Behaving kindly to others also starts a positive feedback loop that makes one's outlook more positive.








June, 2024  -  June, 2024

4

Programming for Everybody (Getting Started with Python) | University of Michigan

Install Python, then start by writing a program. Explain the Python programming language's fundamentals. Employ fundamental programming constructs like loops and functions. Utilize variables for information storing, retrieval, and computation.

May, 2024  -  May, 2024

5

Preparing Data for Analysis with Microsoft Excel | Microsoft

In Microsoft Excel, data must be imported, cleaned up by addressing missing values, eliminating duplicates, and fixing errors before it can be analyzed. The data must then be transformed using functions, pivot tables, and formulas to prepare it for analysis. Ultimately, the dataset is prepared for analysis using Excel's built-in capabilities, such as pivot tables and charts, through data validation and formatting, which guarantee accuracy and readability.

September, 2024  -  September, 2024

1

Machine Learning Algorithm Linear Regression Logistic Regression KNN CNN | Beginner

1 Year(s) of experience

2

Database | Beginner

1 Year(s) of experience

3

MS Office(Word, Excel, Power Point) | Experienced

03 Year(s) of experience

4

Microsoft Power BI | Beginner

1 Year(s) of experience

5

MySQL | Mid Level

01 Year(s) of experience

6

Opera Mozilla chrome etc | Experienced

4 Year(s) of experience

7

Strong motivation and commitment for work | Mid Level

1 Year(s) of experience

Portfolio