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I have 5 years’ experience in data analytics, and my academic background is in economics and ecometrics. This has been a good stepping stone for me to launch my career in analytics. The majority of my experience has been working for startups.
Advanced analytics: Leveraged advanced analytics techniques to drive data-driven insights and optimize business strategies. Statistical analysis: Applied statistical methods and models to analyze data and extract meaningful insights. Data visualisation: Created visually appealing and informative data visualizations to effectively communicate complex information. SQL: Proficient in writing complex SQL queries to extract and manipulate data from databases. Python: Extensive experience in using Python for data analysis, machine learning, and statistical modeling. Machine learning: Utilised machine learning algorithms to develop predictive models and improve decision-making.
Key Responsibilities:
Led business intelligence initiatives in South Africa, driving data-driven decision-making.
Conducted driver ROI analysis, retention and churn analysis using machine learning models and A/B testing, resulting in a 10% reduction in driver churn rate.
Analyzed driver price elasticity of demand to optimize pricing strategies, leading to a 15% increase in revenue per ride through price segmentation.
Developed pricing mechanisms aligned with the South African pay cycle, to mimic monthly demand cycle
Skills: SQL, Python, machine learning, statistical analysis, business analytics, management, and data visualisation.
Provided technical advice to the Institute of Policy Studies of Sri Lanka and the Ministry of Finance of Sri Lanka on the tobacco taxation framework and data collection.
Conducted data analytics projects, including “Cigarette Pricing in Sub-Saharan Africa,” to support evidence-based policy-making.
Offered technical support to Zambia, Botswana, and Bangladesh Ministries of Finance on economic research projects.
Contributed to the WHO FCTC Knowledge Hub on Tobacco Taxation, facilitating training and knowledge dissemination on taxation and illicit trade.
Skills: SQL, Python, machine learning, statistical analysis, business analytics, data visualisation, STATA