Kaz Chichlowski Email & Phone Number

Cracow, Małopolskie, Poland

• Supported colleagues in the application of Machine Learning in various settings, including the use of CNNs, decision making models in general and time-series modelling.Developed a SARIMAX-based Statistical Process.
• Retrieved the results from applying search terms to Google Trends via a Python API and assisted with applying Facebook Prophet to forecast their future usage.
• Overlaid the ranking by geographic region of search terms as returned by Google Trends with a weighting derived from region populations.
• Incorporate exogenous data from the National Oceanic and Atmospheric Administration in the U.S. to help anticipate potential near-term demand.
• Used the Granger causality test to help identify themes using pairs of the terms received from the Web. Bid support:Engaged with CXOs and SVPs of global and national retailers/manufacturers, delivering presentations on.

London, United Kingdom

• Developed a Data Analytics Environment (DAE) for risk reporting and adhoc querying from multiple data sources:
• used for trade data processing, payments data processing, data extract valudation and high risk client identification;
• data wrangling via SQLite from sources including Oracle, MS SQL Server, MS Office, Lotus Notes and flat files;
• SQL-based API using registered functions developed in-house for content analysis, fuzzy text matching, data summarisation, time/event-line profiling, statistical analysis and scoring;
• reporting in Excel/HTML;
• written in PERL with optional interface to Python, R and Java.Assumed responsibility for e-comms data and hard disk drive imaging in support of investigations:

London, United Kingdom

• Implemented the Neural Network core of an eFalcon solution for the on-line retailer Shop Direct Solutions scoring credit card usage at the point of purchase.
• Developed custom solutions for those clients and helped establish a best practice / standard methodology for the work undertaken by our team.

• Was the point of reference / authority for modelling in our team whose prime objective is to provide data driven customer intelligence to the rest of ClarityBlue.
• Used SQL on Sybase, Excel VBA and SPSS Clementine for data analysis and to derive rulesets and scorecards from mixtures of internal, client and bureau data (mainly from Experian & Axciom) for response/accept models.
• Lead PoC Implementer for an embedded value-based campaigns optimisation process to run along-side Experian’s Marketswitch for a leading mobile provider.

• Contributed to specialist analysis for health checks targeting fraud for clients including BT, France Telecom and C&W
• Provided technical consultancy and support on Data Mining both for and on behalf of Azure Solutions, including a key role in a EURESCOM project [http://www.eurescom.de/public/projects/P1000-series/p1007/default.asp]..
• Developed a Naïve Bayes Machine (inspired by Paul Graham’s SPAM filter ) as a PoC to both detect fraud and to help in rules management.
• Developed the core of a ‘Call Fingerprinting’ module for Azure’s fraud product which became a new feature in a standard build. Also used by Lawful Intervention groups overseas.
• Have given presentations on applications of Data Mining to groups including the then Future Technologies Co-ordinating Group, GCHQ.

• Engaged in demonstrating the potential benefits of applying Artificial Neural Networks (ANNs) and other machine learning techniques to the problems of subscription and charge-card fraud, using both SAS and other third.
• Developed a prototype web-based application for monitoring the performance of IP Data Networks including VRML output to map network units such as routers and switches.
• Engaged in further research and development activities including the elicitation of rules from Artificial Neural Networks and the prototyping of Guided Knowledge Discovery – a Data Mining paradigm aimed at bridging the.

Phd, Artiticial Neural Networks

Activities and Societies: Captian and President of UEA volleyball team Won UEA sport achievement award, 1992 Thesis title: "Modelling and.

B.Eng (Hons), Electronic Engineering

Awarded 1st Class Honours In 1989 I received the Institution Prize from the Institution of Electrical Engineers for distinction in an.