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  • ๐Ÿ‘‹ Hi, Iโ€™m @JeremyNjonge
  • ๐Ÿ‘€ Iโ€™m a | Data Analyst | Project Manager
  • ๐ŸŒฑ Iโ€™m a Statistics & Applied Mathematics Graduate from Kenyatta University.
  • ๐Ÿ’ž๏ธ Iโ€™m a fast learner, very strategic and a critical and creative thinker.
  • Portfolio: https://peaceful-eclair-5c5120.netlify.app/
  • ๐Ÿ“ซ How to reach me [email protected]

jeremynjonge's Projects

app-modernization-using-ibm-toolchain icon app-modernization-using-ibm-toolchain

Digital portfolio on IBM Cloud using IBM Toolchain. When you need to add new projects, skills and showcase other achievements don't need to scale down complete application, just do it in real time!

code icon code

Compilation of R and Python programming codes

credit_default_model icon credit_default_model

Bank wants to improve the prediction of defaults of their customers, as well as identify the patterns that determine the likelihood of default. Also, fix credit limit and risk type to the customer and avoid future defaults.

creditr icon creditr

A Credit Risk Scoring Modeling and Validation Package

data-science-portfolio icon data-science-portfolio

Repository containing portfolio of data science projects completed by me for academic, self learning, and hobby purposes. Presented in the form of iPython Notebooks, and Python files in corresponding modules .

expense-tracker icon expense-tracker

An expense tracker to keep a track of daily expenditures and income

fake_news_detector icon fake_news_detector

Machine learning-based fake news detection using LSTM implemented as a web application using streamlit and python.

footballanalytics icon footballanalytics

Scraping player level data from internet. This is followed by cleaning, wrangling, EDA and then modelling

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 lรถsungen, linkedin machine learning test LinkedIn test questions and answers

nlp-in-practice icon nlp-in-practice

Starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, pre-trained embeddings and more.

ptplot icon ptplot

Easily make interactive plots of player-tracking data

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