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I’m Ashail Maharaj

Data Scientist Industrial Engineer Problem Solver
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ABOUT ME

My skills lie within helping businesses find value using data, analytics to inform strategy. I believe in spending the extra time to solve the root causes as opposed to just solving the symptoms. I found my passion in machine learning and data analysis during my Operation research course at campus. This kick-started my career and encouraged me to join Deloitte in data analytics. After my time at Deloitte, I moved to Discovery Bank. Since then I have been solving real business problems using analytics and starting up the analytics capability within Discovery Bank. . I love to play around with cool tech ideas and concepts between projects to kick off new intitiatives. In my spare time I’m a photographer and I make art. I am currently studying towards an MEng Industrial engineering which specialises in data science. Please bare with me on the functionality of the site for now. I just learnt to pull something together a few hours before this deployment.

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EXPERIENCE

  • Consultant - Data Analytics

    Deloitte Dec 2016 - July 2018

    I was part of a graduate program during this time. I upskilled in Python, R, SAS, SQL, Data modelling and visualisation during my time with Deloitte.

  • Data Scientist

    Discovery Bank - Customer insights Aug 2018- Jan 2019

    Joined Dicovery Bank to do some cool customer analystics on campaigns, marketing, cohorts, which clients to send campaigns out to, tracking account closures and new accounts over time. Build customer segmentation models, spend categorisation etc.

  • Data Scientist

    Discovery Bank - Research and Development Jan 2019-Current

    Moved into the research and development team. This team deals with the rewards program, Vitality money, budgeting, profitability, product and pricing. I am currently doing a lot of work around the Vitality money program, getting clients more engaged with it and ideation for future development.

SKILL

Development (Python, R, VBA, SQL, mongo db, Cypher, Spark) 95%
Data visualisation (Power bi , ggplot ,Plotly, Qlikview, Tableau, Neo4j ) 60%
Machine learning (there are always new techniques to learn) 85%
Database Management (comfortable with CRUD, testing, dev, pre-prod and prod 90%
Problem solving (applying design thinking, theory of constraints and root cause methodology) 90%
Data engineering (Beam, spark, map reduce, distributed processing, GCP) 60%

Let's chat about

Web Development
Web Development
Graphic Design
Graphic Design
Database Management
Database Management
Software Development
Software Development
Digital Marketing
Digital Marketing
Mobile App Development
Mobile App Development
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