Anzhela S.

Data Scientist

415 dollar
8 ans

Mon expérience

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GHDMay 2017 - Présent

    Developing National Rail Travel Statistics (NRTS) database for DfT, including cleaning, processing, and transforming data from surveys, station video cameras and mobile phone. Producing visualised dashboards. Python, SQL, Power BI

    Doing the research and developing the modelling suite for estimating the impact on National Rail demand and revenue (beyond any response to simple price change) from the introduction of PAYG and ABT for Passenger Demand Forecasting Council (PDFC). Python, Excel

    Producing analytical inside for using mobile and payments data for rail industry. Python, SQL, GitHub, Google Cloud, Microsoft Azure

    Developing National Rail Passenger Statistic (NRPS) database based on 20 years semi-annual wave datasets to analyse customer travel patterns. R, SQL and VBA

    Developing of the Demand/Revenue models for different franchise as well as for DfT and TfW. VBA, SQL and Statistical modelling with Python.

    TOC Advisory Services. Passenger behaviour analysis, SQL and VBA.

    Analysis of the exogenous/endogenous impacts on different rail segments. Economic research

    Modelling the main drivers profitability shortfall. Statistical analysis and Machine Learning with Python

    Producing case studies for different areas of the rail industry. Econometric and Mathematical analysis with Python.

    Developing of the visualisation tool, VBA

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S2DS for CraneOctober 2020 - November 2020

    Designed and Developed recommendation engine based on kNN and ALS Collaborative filtering. Machine Learning, Python, GisHub

    Identifying and developing algorithm for building cross selling opportunities for increasing companies market share based on contractor profiles. ML, including Clustering Analysis and Features Selections, Python, GisHub

    Developing tool for quantity and price recommendations, Machine Learning, Mathematical Modelling, Statistical Analysis, Python

    Real time model using SQL Server, SQL and Python, GisHub

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First GroupOctober 2016 - May 2017

    Developing and implementing business cases models to quantify the impact of the initiatives on project the cost/revenue. Statistical analysis with SSPS, Mathematical Modelling with Python and SQL

    Analysing the historical rail market data. Statistical analysis and VBA and SAB BI

    Assisting in developing revenue/market study based on industries datasets (SAP BI, LENON, RailSis, MOIRA, RIFF Lite)

    Analysis of the negative media impact on passenger behaviours. Statistical analyses, Machine Learning, Python

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First GroupSeptember 2015 - September 2016

    Developing and implementing models using Excel, VBA and Python

    Reviewing and auditing models – TSR, Crowding Model.

    Assist in the development of crowding forecasting models to quantify the impact of bid strategies on passenger demand. Economic Analysis and Mathematical Modelling, VBA

    Preparing the operating manuals and record of modelling assumptions. Technical writing

    Analysing the industries datasets (MOIRA, DFT Statistics) for identifications key trends. Statistical Analysis, Excel and VBA

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Brunel UniversityOctober 2011 - October 2013

    Planning, preparing and delivering lessons and seminars of Essential Skills in Math, monitoring and assessing students’ progress, supporting students and helping with problems. Assisting in train dynamics research.

Mes compétences


Data analysis, SVM, Research

IT Infrastructure

Microsoft Azure, Google Cloud Platform (GCP)

Business Intelligence

Power BI, Tableau Software


Microsoft SQL Server


Python, VBA


Pandas, Machine Learning, NumPy



Machine Learning

Scikit-Learn, Clustering

Mes études et formations

PhD in Applied Mathematics - Keele University2015

MSc in Applied Mathematics - Odessa State University1999