About me

An MSc Big data science masters graduate with a BEng degree in computer system and robotics and an international background in electronic and telecommunication with a self-learning passion Business Intelligence and Analytics. A forward-thinking individual, who is enthusiastic about performing to ambitious standards even in pressurised environments under strict deadlines whilst continuing to deliver outstanding service.

QuestionsProjectsExperienceTeam

Work history

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Q
Data analystQURED
Jan 2020 - Jul 2020London, United KingdomFreelance
• Data visualization using Tableau. • Process of big data using Map-reduce or Spark. • Successfully interpreted data in order to draw conclusions for managerial action and strategy. • Used statistical techniques for hypothesis testing to validate data and interpretations. • Presented data and conclusions to team in order to improve strategies and operations. • Proposed solutions to improve system efficiencies and reduce total expenses.

Skills

• Machine Learning
• Python
• Programming Python
• Tableau
• SQL
• Advanced Excel
• Microsoft Excel
• Excel

Education

MScQueen Mary University of London
Sep 2019 - Oct 2020London, United Kingdom
• Machine learning: Use of “Intelligent” techniques for analysis and processing of signals and big data. • Applied statistics: fundamentals of statistics such as: series analysis, hypothesis testing and more. (R- studio) • Big data processing: Analysis of techniques used to analyze big data. (Hadoop, Spark) • Data mining: Understanding algorithms and models used in data mining for decision making. (Python,Weka) • Bayesian decision and risk analysis: building decision support system tools for uncertain problems. (AgenaRisk) • Cloud Computing: cover the main characteristics of Cloud Computing, including the enabling technologies, main software and service paradigms underpinning it, as well as related aspects, namely security, privacy, ethical concerns. (AWS) • Deep learning and computer vision: this module cover emerging applications in the field of Computer Vision, and deep learning techniques.(Tensorflow) • Data analytics: This module will introduce you to a range of topics in data analysis and machine learning. (Python)
BEngUniversity of Westminster
Sep 2016 - Jul 2019London, United Kingdom
• TXT file analyser. Programming language used: C++, the program reports the different types of characters in the file, the number and the types of phrases and others features. • Optimised custom digital signal processor design implementation for a 16-tap linear-phase lowpass filter using VHDL and MATLAB; • Optimised design of a custom digital signal processor for a filter consisting of 4 second-order sections in cascade (DN TDL IIR Filter) using VHDL and MATLAB; • Design and implementation (software and hardware) of an autonomous robot able to solve the IEEE maze. Programming language: C/C++. • P/PI/PID Controller design for position and velocity control. • Final year project: Fluorescent image Analysis and segmentation for pathological application using MATLAB, HDL and FPGA. • Member of IEEE and IET. • Member of the engineering society as well as the programming society.