Data Scientist
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Recent postgraduate with a Master in Data Science relevant experiences working as a self-motivated data scientist, familiar with both qualitative and quantitative data. Along with statistical background, I possess knowledge and skills in data cleaning, preprocessing, visualization, feature engineering, modelling and predicting. With scripting languages such as python and SQL, I am capable of creating, analyzing and testing applications.
Further, I have worked in various organisations and acquired project management, coordination, collaboration, networking and leadership skills.
Worked more than 3 years in data analysis and 1 year as data scientist.
Data: Data Cleaning, Data Pre-processing and Data Visualization techniques for building the application and research purpose at Seclea.
Models: Various Machine Learning models, including Deep Learning models, were used for building applications at the Seclea platform.
Software: I have used SPSS, STATA, PowerBI and Microsoft Excel for analyzing and presenting research data.
Languages: Python, Scikit learn, and SQL to implement data analysis for the building application and research.
Libraries: Familiar with using NumPy, Pandas, and PyTorch, and uses PyCharm, google collab and Jupiter notebook for running python programs.
(Nominee for best students and innovation research) Recipient of OfS Scholarship
Core subjects: Python, Data Analysis, Business Analysis, Research Methodology, Machine Learning
Dissertation: A comparative study of image data analysis using various Machine Learning (ML)
Models: A case study of Covid-19 patient’s data.
