Experience

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  Saleslink Group

  • Analyst

    • Aug 2018 - Present

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  NSW TrainLink

  • Sydney, Australia

  • Work integrated learning

    • Feb 2018 - Jun 2018
    • Sydney, Australia

    Assessing the performance of current train services and how well they meet the needs of people in different geographical areas.By using tableau and power BI visually representing the quality of current services and how it is on time and where are services more often delayed.Visually representation of congested services within 50 km Sydney CBD and the type of facilities available ate each particular station by using R Studio and leaflet functions.Statistical analysis of how well the train services is performing in different areas, in different service lines and on different days and time.Prediction of speed reduction on some regions track due to weather, track conditions or maintenance and visualize on-time running.Forecasting how our services align with the population growth centres in NSW and Prediction of areas in the state are the best/worst served by our services.

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  Machine learning research project

  • Melbourne, Australia

  • Credit card fraud prediction

    • Feb 2018 - Jun 2018
    • Melbourne, Australia

    Detailed descriptive statistical analysis of data set by using charts, bars and interaction.Data pre-processing by applying tidy principles to deal with missing values, data transformation and data aggregation.Making machine learning models by apply classification machine learning techniques to the categorical variables and regression machine learning to numerical data.Using ML algorithms representing how does the probability of default payment vary by categories of different demographic variable.Using feature selection technique finding which set of features are strongest feature to predict the target features.OutcomePrediction of new credit card client by using ML similarity based, probability based and information based algorithms.

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  SQL research project

  • Melbourne, Australia

  • Database Management

    • Jul 2017 - Sep 2017
    • Melbourne, Australia

    Data analysis of IMDB data by using entity relational modelling, Advance relational modelling, Advanced ER modelling and advanced SQL programming.Extraction and validation of data set by using different validation techniques and by applying complex SQL quires.Database designing and planning by creating schema, tables and views.Managing database by using multiple inserts functions, testing the foreign keys and by applying updating and truncate tables function.

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  Statistics, SAS programming

  • Melbourne, Australia

  • Wood survey 2016

    • Jul 2016 - Oct 2016
    • Melbourne, Australia

    Statistical modelling:Research on survey information on Eucalyptus regnans from forests in Australia.Explore the growth characteristics of height and diameter for this species.Perform an analysis by using Statistical computing modelling, T-test procedure, and SAS.Outcome:Produce two lists of the top 5 trees by height and by diameter.Compare each of the growth characteristics of the trees in Victoria to Tasmania