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.
Target Job
Full time
Target Industry
Work Email
Work Mobile
+8801930727991
Portfolio Site
https://www.facebook.com/sayem2212
https://www.linkedin.com/in/smsayem
Education Information:
Bachelor in Information communication Technology (ICT) | Daffodil International University
Passing Year: 2024
January, 2020 - February, 2024
CGPA: 3 out of 4.00
Secondary School Certificate (SSC) in Science | Kasba Govt High School
Passing Year: 2017
January, 2012 - February, 2017
GPA: 4.50 out of 5.00
Higher Secondary 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
Customer Service Executive | IELTS School BD
Jan, 2025 - Present
Job responsibilities:
• Communicating with customers
• Managing customer concerns
• Gathering customer feedback
• Responding to customer reviews
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
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
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
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
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
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
Machine Learning Algorithm Linear Regression Logistic Regression KNN CNN | Beginner
1 Year(s) of experience
Database | Beginner
1 Year(s) of experience
MS Office(Word, Excel, Power Point) | Experienced
03 Year(s) of experience
Microsoft Power BI | Beginner
1 Year(s) of experience
MySQL | Mid Level
01 Year(s) of experience
Opera Mozilla chrome etc | Experienced
4 Year(s) of experience
Strong motivation and commitment for work | Mid Level
1 Year(s) of experience