evander nyoni

deep learning engineer

About

A dynamic Data Scientist with a demonstrated history of working in the management consulting industry. Skilled in Mathematical and Statistical Modeling. Strong information technology professional with a BSc Honours focused in Applied Mathematics from National University of Science and Technology (ZW).

Country

south africa

City

cape town

Industry

research

Skill

statistics, data analysis, mathematical modeling, research, scientific computing, statistical modeling, data mining, machine learning, analytical skills, microsoft office, public speaking, applied mathematics, r programming, microsoft powerpoint, strategic planning, management, python, analytics, mathematica, programming, numerical analysis, machine learnign, deep learning, sql, business analytics, data science, spss, project management, natural language processing, computer vision

Experience

deep learning engineer

dr cadx

2018-1 - Present · 8 yrs 9 mos

data analyst

pb supermarket & wholesale

2016-1 - 2016-8 · 8 mos

* Sales analytics * Predicted customers preference based on order history to maximize sales efficiency. * Inventory analytics.

machine learning consultant

grai labs

2019-1 - 2019-4 · 4 mos

data scientist

advisory-k

2016-9 - 2017-12 · 1 yr 4 mos

* Data munging using Excel, R, SQL and Python. * Developing appropriate methodologies for data collection, analysis and presentation. * Analyzing raw data, drawing conclusions & developing recommendations. * Credit Risk Mitigation, Forecasting market dynamics and Customer Analytics * Sentiment Analysis, Early detection analysis and Customer Segmentation) * Dashboard development, management and reporting. * Predicted customers preference based on order history to maximize sales efficiency.

statistical analyst

cotton research institute

2013-8 - 2014-8 · 1 yr 1 mo

* Apply math/statistical theories and methods to solve practical problems in the biological * sciences field. *  Decide what data are needed to answer specific questions or problems *  Determine methods for finding or collecting data *  Design surveys or experiments or opinion polls to collect data *  Collect data or train others to do so *  Analyze and interpret data *  Report conclusions from their analyses