Thushya Pillay
Data Analyst
Johannesburg
Summary
Detail-focused Data Analyst with 3 years experience in the healthcare sector with a demonstrated history in data mining, insights generation, data management and product development. Proven to understand customer requirements and translate into actionable project plans. Dedicated and hard-working with passion for Big Data.
Overview
6
6
years of professional experience
6
6
years of post-secondary education
Work History
Data Analyst/consultant
Quantium Health
Johannesburg
03.2019 - Current
- Built out the data and reporting infrastructure from the ground up using SQL and Tableau to provide report and insights for a 1st of its kind Medtech product in South Africa, contributing to 60% of revenue
- Responsible for data management and operation of monthly ingestion of Discovery Health claims data and ETL pipeline checks
- Delivered a compelling story using high quality analytics that allowed a medical device company to further increase revenue by 40% due to a new product entering into the market
- Created new IP for Quantium Health and Discovery Health by mapping products to a new medical categorizations
- Responsible and accountable for delivering high quality analytics and healthcare outcomes using statistical methods, from scoping, data quality assessment, data manipulation, method selection, insights generation and visualization, for various consulting projects
- Support Lead Consultants with solution design, identifying and creating further commercial opportunities
- Responsible for new client onboarding and training of Market intel dashboard Products
- Part of graduate advisory team responsible for setting goals, feedback and career mentoring
BCX Intern
Explore Data Science Academy
Cape town
01.2018 - 12.2018
- All projects required extensive use of Python and its libraries Pandas, Numpy, Matplotlib, Scikit-learn, Selenium, Beautiful Soup
- Jupyter Notebooks and data visualisation in Power Bi Dashboards
- Cape Town Water Crisis: Analyze the factors affecting water supply and demand. Skills applied: Database Design (PostgresQL), problem solving in Python, geolocation data
- South African Stock Market Price Prediction. Skills applied: machine learning, regression, and regularization: linear, lasso, ridge, polynomial
- Personality Profile Prediction Based on facebook text data. Skills required: Natural Language Processing, NLTK, logistic regression, classification models: KNN,SVM, Gaussian mixture, grid search
- FIFA World Cup Result Prediction. Skills applied: Probabilistic programming, Bayesian modelling, Conditional Probabilities, RandomForests, Decision Trees, feature engineering
- Cape Town Traffic Analysis. Skills applied: Unsupervised learning: clustering methods: K-means, agglomerative, cosine similarity, web scraping: Scrapy, Beautiful Soup, pipelines, API's, dimensionality reduction. Linear algebra
- Recruitment Analysis for Explore. Skills applied: NLP, classification modelling, feature engineering
- Internship ( 3months): CapaCiti programme aimed to bridge the skills gap in the ICT sector and prepare students for a new world of work. Skills applied: Java OOP, course content create, facilitating and teaching Java concepts
Junior Project Manager
Intelligent Debt Management Group
11.2016 - 01.2018
- Reconstructed the customer journey and communication process through User experience
- Set up Google Analytics tracking on customer portal "Smartcents" enabling detailed user
- Super user in pilot group in various projects
- Revamping the HR Department, including a cost benefit analysis of department versus
- Performed technical research and communicated findings in language understood by staff and customers.
Financial Consultant
Intelligent Debt Management Group
02.2016 - 01.2017
- The Intelligent Debt Management Group(IDM), has established itself as South Africa's leading and largest debt management company
- All roles at IDM required extensive use of Excel and CRM systems
- Conducted in-depth over-indebtedness assessments for clients and prospective clients
- Effective financial solutions were provided to consumers based on a number of calculated metrics
- Credit Life Cycle
- Assessing Client's affordability, risk coverage and budget and created
- DCRS (Debt Counselling Rule Set) based on their debt repayment plan
- Coordinate with their credit providers to ensure that all their accounts were ready accordingly for debt counselling on-boarding process
Education
NQF level 6 Diploma - Data Science
Explore Data Science Academy
Cape Town 01.2018 - 12.2018
Bachelor of Arts - International Relations And Economics
University of Cape Town, School
02.2012 - 11.2015
Collegiate Girls High School
01.2011 - 12.2011
Skills
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Timeline
Data Analyst/consultant
Quantium Health
03.2019 - Current
NQF level 6 Diploma - Data Science
Explore Data Science Academy
01.2018 - 12.2018
BCX Intern
Explore Data Science Academy
01.2018 - 12.2018
Junior Project Manager
Intelligent Debt Management Group
11.2016 - 01.2018
Financial Consultant
Intelligent Debt Management Group
02.2016 - 01.2017
Bachelor of Arts - International Relations And Economics
University of Cape Town, School
02.2012 - 11.2015
Collegiate Girls High School
01.2011 - 12.2011
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