I can build a team and/or design all the tech necessary to get actionable insight out of data: be that for a completely fresh start-up, or a company wanting to better their use of data for customer retention, extending revenues, optimising marketing or any other competitive gain
Business Analysis: requirements gathering, statements of work, cost/benefit, white papers
Reporting and ROI: visualisation, statistical significance (t-tests, z-score, chi-sq)
Time Series Analysis: (S)ARIMA(X) models, stationarity tests, Granger causality, dynamic time warping
Geospatial Analysis: spatial-joins, mapping, projections, grids (point, square, hexagon and interpolated)
Customer Segmentation: usage, value, frequency, geo-demographic, behavioural, attitudinal
Classification Systems: k-means, hierarchical clustering, ImageNet
Propensity & Regression Modelling: linear, logistic, neural net MSE, decision trees/forests
Survival Analysis & Attribution Modelling: Kaplan-Meier, adstock distributions
Campaign Evaluation and Effectiveness: A/B & test vs. control matrices, optimisation engines
Pen Portraiture: profiling and indexing, use of 3rd Party data (Mosaic, Acorn, Personicx)
Recommendation Engines: single value decomposition – like Netflix prize
Decision Engines: Naïve-Bayes, NBA strategies
Text Mining, Sentiment Analysis and Topic Classification: fuzzy matching, bag-of-words, Latent Dirichlet Allocation
numpy | pandas | scikit-learn | statsmodels | matplotlib | geopandas | dask | surprise | keras/tensorflow | nltk
MySQL | MS SQL Server | Oracle | PostgreSQL & PostGIS | Teradata | Netezza | SAS (proc sql, base, stats, graph, ETS)
Google BigQuery | AWS (Redshift & S3) | Databricks | OpenStreetMap | Hive (Hadoop)
Tableau | Google Analytics | Microstrategy | QGIS
Deployment & Documentation:
Docker | Apache Airflow | APScheduler | Sphinx
M.A. (Commendation) Degree in Marketing, University of Hertfordshire
B.Sc. (2-1 Hons.) Degree in Geophysical Sciences, University of Leeds