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Hey there, I'm Godwin!

Nice to have you here!  

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Table of Content

🖼️ About Me

  • Godwin is a versatile and experienced Data Scientist and a Business Analyst with a strong foundation in Mathematics and Statistics.
  • He has a demonstrable background in growing business revenue through proficient interpretation of market and financial data, and delivering data-driven solutions to business owners and executives.
  • Accustomed to high-performance work environments and has a history of taking the initiative in designing new methods for growth and efficiency through streamlined reporting and statistical analysis.
  • A proven team player with a passion for collaboration and integrated ways of working to achieve business goals.

🏫 Educational Qualification

  • Btech. Mathematics (Federal University of Technology Owerri, Imo State, Nigeria)

🧰 Programming Languages and Tools

      Python  Rstudio  Kaggle  Sqlite 
    Rstudio   SPSS  Jupyter  Latex  Firebase 
    Markdown  MySQL       

Relevant Certifications

  • Data Analytics Professional Certificate(Google)
  • Statistical Inference (Johns Hopkins University)
  • Getting and Cleaning Data Specialization (Johns Hopkins University)
  • Exploratory Data Analysis Specialization (Johns Hopkins University)
  • Reproducible Research (Johns Hopkins University)
  • SQL for Data Science Specialization (University of California, Davis)

Relevant Undergraduate Projects:

  1. Application of Mathematics in Telecommunication Industry
  2. Numerical Analysis Using Non-Linear Ordinary Differential Equation.

Undergraduate course works

  1. Operations Research,
  2. Numerical Analysis
  3. Real Analysis
  4. Partial Differentila Equation
  5. Statistics
  6. Computer Application
  7. Mathematic Methods

Relevant Professional course works

  1. Deep Learning in Business
  2. Data Mining for Business Analytics
  3. Machine Learning
  4. Exploratory Data Analytics
  5. Reproducible Research

Recent Projects

• Analysis on Customer Service Lead Data.
Link: https://bit.ly/40y9HIL

• Basic Inferential Data Analysis on the ToothGrowth data in R
Link: https://rpubs.com/sirgo1/946417

✍️ Blog Posts:

My Interview with Chipper Cash

March, 2023

Interviews are a crucial part of the job search process, and they can be both exciting and nerve-wracking.

I interviewed with Chipper Cash for the Pricing Analyst role around January this year. It was a nice experience because I learned a lot while preparing and from the interview. Although I couldn't go past the second phase of the interview which I believed should be the final phase, I can say that the interview was my best interview so far.

I have put together some tips based on my experience in the interview to help you prepare for your next interview.

In my case, I think not doing the last tip affected me. Imagine, when a hiring manager told you immediately after interviewing you, that you can reach out to him through his email regarding any confusion you might have and that he would be waiting for them. 😆

I am sure you would benefit from my tips. Happy reading!

  1. Research the Company: Before the interview, research the company to understand its mission, values, products, and services. This will help you tailor your responses during the interview to fit the company's culture and mission.

  2. Prepare Responses to Common Interview Questions: It's always good to prepare responses to common interview questions, such as "What are your strengths and weaknesses?" or "Why do you want to work for our company?" This will help you avoid being caught off guard during the interview.

  3. Be Confident: Confidence is key during an interview. Remember that the company invited you for an interview because they see potential in you. So, be confident in your abilities, and let your personality shine through.

  4. Dress Professionally: First impressions matter, so make sure to dress professionally for the interview. It's better to be overdressed than underdressed.

  5. Follow-Up: After the interview, follow up with a thank-you email or note. This will show the interviewer that you appreciate the opportunity to interview with the company and are interested in the position.

In conclusion, interviewing can be a nerve-wracking experience, but it doesn't have to be. With the right preparation and mindset, you can ace your next interview. Remember to research the company, prepare responses to common interview questions, be confident, dress professionally, and follow up. Good luck!

Godwin Osuji's Projects

30daysof icon 30daysof

30 Day of Learning Resources, Samples and Curricula

bookdown icon bookdown

Authoring Books and Technical Documents with R Markdown

code icon code

Compilation of R and Python programming codes on the Data Professor YouTube channel.

courses icon courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

covid-19-data icon covid-19-data

An ongoing repository of data on coronavirus cases and deaths in the U.S.

data icon data

Data Sets for Machine Learning Practice

datasciencecoursera-1 icon datasciencecoursera-1

Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.

dmba icon dmba

Utility functions for "Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python"

lean icon lean

Lean Algorithmic Trading Engine by QuantConnect (Python, C#)

learnr icon learnr

Interactive Tutorials with R Markdown

linkedin-skill-assessments-quizzes icon linkedin-skill-assessments-quizzes

Full reference of LinkedIn answers 2022 for skill assessments (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, Go, python, machine-learning, power-point) linkedin excel test lösungen, linkedin machine learning test LinkedIn test questions and answers

rticles icon rticles

LaTeX Journal Article Templates for R Markdown

sirgo1 icon sirgo1

Config files for my GitHub profile.

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