Moshfiqur Rahman Ajmain is a highly skilled and motivated individual with a Bachelor's degree graduated in Computer Science and Engineering from Daffodil International University. He has a strong academic background with a CGPA of 3.68 out of 4. Along with his academic achievements, he has gained practical experience through various extracurricular activities and research projects.
Moshfiqur is proficient in various programming languages such as Python, C, HTML, CSS, SQL, and MySQL. He is also skilled in using software such as Microsoft Office, LaTex, and Google Basic Tools, as well as design software like Illustrator, Canva, and Lightroom. He has published several research papers in reputable international conferences and is currently involved in ongoing research projects related to deep learning models and educational chatbots.
Moshfiqur is an excellent communicator and possesses strong leadership and teamwork skills. He has held positions of responsibility and has experience teaching as a student prefect. In addition, he has served as a Campus Ambassador for various organizations and has been recognized for his achievements and contributions. Overall, Moshfiqur is a hardworking and dedicated individual with a passion for learning and making a positive impact in the field of Computer Science and Engineering.
"Life is a journey that must be traveled no matter how bad the roads and accommodations."
- Oliver Goldsmith
Data Analyst Skills
Data analysis tools: Proficient in using tools such as SQL, Excel, and other data analysis tools to manipulate, clean, and transform data.
Programming skills: Familiar with programming languages such as Python and SQL, as well as knowledge of data modeling and database design principles.
Data visualization: Data visualization is essential for communicating complex findings. Proficient in using tools such as Power BI.
Data cleaning and manipulation: Skilled in data cleaning, transformation, and manipulation.
Analytical and problem-solving skills: Have strong analytical and problem-solving skills, as well as the ability to work with large and complex data sets.
Business intelligence tools: Familiar with business intelligence tools such as Tableau and Power BI, as well as data warehousing and ETL processes.
Also have strong Communication skills, Teamwork and Problem-Solving Skills.
Research Assistant/Associate
Strong analytical and critical thinking skills: Ability to analyze complex data sets and identify patterns, trends, and correlations. Think critically and evaluate the validity of the findings.
Effective communication skills: Ability to communicate effectively to both technical and non-technical audiences. This includes writing research papers, creating presentations, and participating in conferences.
Knowledge of research methods and techniques: Have a strong understanding of research methods such as experimental design, surveys, and case studies, as well as qualitative research techniques such as interviews and focus groups.
Expertise in a specific subject area: Have in-depth knowledge of the subject area like Machine learning and image processing including relevant theories, concepts, and literature.
Ability to work independently and collaboratively: Working independently to design and execute research projects, as well as collaborating with other researchers and team members.
Time management skills: Always manage time effectively to meet deadlines, prioritize tasks, and balance multiple projects at once.
Ethical considerations: Always aware of ethical considerations in research, including confidentiality, informed consent, and avoiding conflicts of interest.
Continuous learning: Always committed to continuous learning and staying up-to-date on new research methods, tools, and technologies in my field.
Data Scientist Skills
Programming skills: Proficiency in programming languages such as Python and SQL. These languages are commonly used for data manipulation, cleaning, and analysis.
Data visualization: Data visualization is essential for communicating complex findings. Proficient in using tools such as Power BI.
Machine learning: Familiar with machine learning algorithms such as linear regression, decision trees, and neural networks.
Data wrangling: Skilled in data manipulation and cleaning. Cleaning, transforming, and merging data from various sources.
Also have strong Communication skills, Leadership, Public Speaking, Teamwork and Creativity.
Soft Skills
Communication Skills
Leadership
Teamwork & Collaboration
Volunteer
Stress Management
Emotional Intelligence
Web Design & Tools
HTML & CSS
Canva
Lightroom
Software & Project Management Skills
Microsoft Office
Google Basic Tools (Docs, Slides, Sheets, Form, Site)
Bitrix
Trello
Overleaf, Latex
Digital Marketing
Facebook Marketing
YouTube Marketing
Social Media Marketing/Management
Content Writing
Certificates for Volunteering Experience
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Certificates of Data Science including Machine Learning, Artificial Intelligent, SQL, Power Bi
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Certificates of Research Methodology
Certificates from Bohubrihi
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Certificates from GoEdu
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Certificates for Workshop/Seminar
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Certificates from 10 Minute School
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