Data and Market Research Specialist
My work includes:
Building regression analysis and time series methods in Python and R to generate business intelligence solutions for clients across a range of industries.
Covering the latest market developments across the consumer goods, hospitality, and telecommunications sectors. Analyse relevant financial metrics using PostgreSQL to deliver an enhanced understanding of a company’s performance in its industry.
Cloud: AWS, Azure
Languages: Python, R, SQL
Machine learning libraries: InterpretML, PyMC3, scikit-learn, statsmodels, TensorFlow
Platforms and relevant tools: PyCharm, Jupyter Notebook, pgAdmin4, RStudio, Git, Docker, Linux
Visualization libraries: ggplot2, matplotlib, seaborn
Time Series Forecasting with Bayesian Modeling. LiveProject series produced for Manning Publications.
- Devised liveProject series to illustrate modelling of time series shocks with Bayesian Dynamic Linear Modeling, modeling of posterior distributions with PyMC3, MCMC sampling with Prophet, and Structural Time Series Modeling with TensorFlow Probability.
TensorFlow 2.0 Essentials: What’s New. Video seminar produced for O’Reilly Media.
- Illustrated use of eager execution and AutoGraph, as well as use of tf.keras for neural network modelling across classification, regression, and time series datasets.
Business Analytics with R — Statistics and Machine Learning. Video series produced for O’Reilly Media.
- Illustrated use of data manipulation techniques, regression analysis and hypothesis testing, along with classification and regression-based machine learning techniques.