Data scientist
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I am a young data scientist who is passionate about Data Science, Machine Learning, Deep Learning, Operations Research and building mathematical models that helps to handle industrial problems that arise in business sector, financial sector,Environmental Sector, mining, energy, health, flight, agriculture and shipping industry. I am now into the new field of air quality modeling with a current research focusing on calibration of low cost sensors using machine learning models and time series forecasting of air pollutants using both statistical and machine learning models (ARIMA, SARIMA, Pmdarima, fbprophet, LSTM, XGBoost). This is coupled with the latest time series forecasting framework, Sktime.
My technical skills range from Econometrics using gretl, Optimisation using Sagemath, statistical and data visualization in R and Tableau, Data science and Machine learning with python libraries i.e Numpy, Pandas, Sklearn, Matplotlib, Seaborn, Plotly and with working knolwledge of Keras, Pytorch and tensorflow.
Placed under Instrumentation and Nanlolab (INL) research group of the Cyprus Institute. We are currently working on developing machine learning algorithms for calibrating Alphasense low cost sensors and air quality prediction.
I hold a masters degreee from African Institute for Mathematical Sciences, AIMS South Africa.
