Md. Feroj Ahmed Data analysis, statistics, math, and biology
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Hi, my name is Md. Feroj Ahmed, and I have just completed my Bachelor of Science degree in Statistics from the University of Rajshahi, one of the top universities in Bangladesh. With a solid foundation in statistics and nearly 2.5 years of experience in bioinformatics and data analysis, I specialize in extracting insights from complex datasets. My expertise includes data handling, analysis, interpretation, visualization, and reporting, using tools like Python, R, IBM SPSS, and MS Excel. With over three years of proficiency in Python and R programming, I effectively bring data-driven insights to the forefront. Currently, I am also a research assistant in a leading bioinformatics dry lab, where I contribute to advancing research through high-quality data analytics and bioinformatics solutions.

Pros: R statistical programming, Python, exploratory data analysis (EDA), machine learning model building, and problem solving.

Pros: Inferential statistics and conducting tests of hypothesis in IBM SPSS, R statistical programming, and Python

Pros: Visualizing and reporting the outcome of analysis with R and Python.

Pros: Handling office software like MS Excel, MS PowerPoint, and MS Word.

Pros: I also have 4 years of offline teaching experience in physics, math, statistics, biology, and English.

N-1: I have always wanted to teach a student in a way that he/she can learn from the basic core of the course so that he/she becomes capable of solving problems related to the course and also able to teach others what he/she learned.

Subjects

  • Statistical learning Beginner-Expert

  • Statistical Data Analysis Beginner-Expert

  • Statistical Methods Beginner-Expert

  • Biology (A level)

  • Statistical inference and Machine learning Beginner-Expert

Experience

No experience mentioned.

Education

  • Bachelor of Science (Jan, 2020–Nov, 2024) from University of Rajshahi,Rajshah, Bangladesh

Fee details

    ৳500–1,000/hour (US$4.19–8.38/hour)

    Tuition fees depend on the difficulty level and time of statistical and data analysis, like machine learning model building or explanatory data analysis.

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