Francio Inferential Analysis, Data Analyst
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Profile Description:
A highly motivated and skilled educator with a strong background in statistical analysis and research. Passionate about empowering students and clients to excel in academics and data-driven projects. Specialized in Semiparametric modeling, Structural Equation Modeling, Observational Epidemiology, Nutrition & Public Health, Air Pollution & adverse health effects, and Statistical Computation under R programming. Committed to making a positive impact in health research and data analysis.

Teaching Style and Methodology:
Adopts interactive and student-centred approach, fostering a collaborative learning environment. Tailor's teaching methodologies to accommodate diverse needs. Integrates real-world examples and data visualization to enhance understanding of complex statistical concepts. Encourages critical thinking and problem-solving skills through engaging exercises.

What Makes Me a Great Teacher:
Simplifies complex concepts for all learners. Patient, approachable, and dedicated to student growth. Provides individualized attention and constructive feedback. Illustrates practical application of statistical methods, instilling a lifelong love for learning and data-driven decision-making. Bridges theory and practice effectively.

Subjects

  • R programming Grade 12-Doctorate/PhD

  • Biostatistics Bachelors/Undergraduate-Doctorate/PhD

  • Statistical Analysis Grade 5-Doctorate/PhD

  • Descriptive Statistics Grade 12-Doctorate/PhD

  • Basic Inferential Statistics Grade 12-Doctorate/PhD

Experience

  • Statistician (Mar, 2018–Mar, 2019) at IQVIA, Cochin

Education

  • M.Sc Statistics (Jun, 2015–Jun, 2017) from Department of Statistics, St. Thomas College Pala
  • B.Sc Mathematics (Jun, 2012–Apr, 2015) from Deva Matha College Kuravilangad

Fee details

    ₹1,500–3,000/hour (US$17.69–35.37/hour)

    Fee Details (Statistical Analysis Services):
    1. The complexity of the Project: The fee may vary based on the complexity of the statistical analysis required. More complex projects that involve sophisticated data analysis or specialized techniques may be charged at the higher end of the range.

    2. Data Size and Quality: The amount of data to be analyzed and its quality can influence the fee. Larger datasets or datasets with incomplete or messy information may require more time and effort, affecting the overall cost.

    3. Turnaround Time: If there is a need for quick turnaround on a project, an expedited service might be charged at a premium rate compared to projects with more flexible timelines.

    4. Specific Analysis Techniques: Some statistical analysis methods may be more time-consuming or require specific expertise. If the project requires rare or advanced techniques, the fee may be higher.

    5. Additional Services: If the project requires additional services beyond statistical analysis, such as data cleaning, data visualization, or report writing, these extra services might be charged separately.

    Fee Details (Teaching Services):

    1. Subject and Level: The fee may vary depending on the subject you are teaching and the level of students you are working with. Teaching advanced or specialized subjects may command higher rates.

    2. Teaching Format: The fee can be influenced by the mode of teaching, such as one-on-one tutoring, group sessions, or online classes. One-on-one sessions may be charged at a higher rate compared to group sessions.

    3. Experience and Expertise: Your level of experience and expertise in the teaching field can also impact the fee. As you gain more experience or hold advanced degrees, you may adjust your rates accordingly.

    4. Preparatory Work: If there is a need for extensive lesson planning, creating teaching materials, or grading assignments, these additional efforts may be factored into the fee.

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