Jackline Jebet

Skills

Tools, and what I use them for

Grouped by the job they do rather than by vendor. Everything listed here has been used on a project or in paid work, not only in a course.

Data analysis

  • Data cleaning & preparation
  • Exploratory analysis
  • Descriptive & inferential statistics
  • Correlation & distribution analysis
  • Time-series analysis
  • Stationarity testing
  • Reporting & visualisation

Machine learning

  • Regression
  • Classification
  • Clustering
  • Model selection & validation
  • Out-of-sample testing
  • Hyperparameter tuning
  • MLP
  • LSTM
  • CNN
  • Hidden Markov models

Financial & quantitative

  • Asset allocation
  • Portfolio & risk analysis
  • Volatility analysis
  • Creditworthiness assessment
  • Financial statement analysis
  • Valuation fundamentals

Languages & libraries

  • Python
  • SQL
  • Pandas
  • NumPy
  • Scikit-learn
  • TensorFlow
  • Statsmodels
  • Matplotlib
  • Seaborn

Big data & cloud

  • Apache Spark
  • PySpark
  • Hadoop / HDFS
  • Apache Hive
  • AWS S3
  • AWS Lambda
  • CloudFormation

Reporting & tooling

  • Power BI
  • Excel
  • Git
  • GitHub
  • Jira
  • Figma

Software engineering

  • React.js
  • Node.js
  • Express.js
  • REST APIs
  • PostgreSQL
  • MongoDB
  • Ruby on Rails

Certifications

Foundations of Financial Engineering

WorldQuant University

AWS Cloud Practitioner

Azubi Africa

Python for Data Science

Introduction to Python Programming for Data Science

Software Engineering

Moringa School

Business Analysis

Hibreed Station Inc., Canada

Project Management Foundations

Agile and Scrum practice

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