Summary
Overview
Work history
Education
Skills
Websites
Certification
Languages
Custom
Affiliations
References
Timeline
Sybil Meselebe

Sybil Meselebe

London,United Kingdom

Summary

Enthusiastic Data Analyst with a strong background in Computer Engineering armed with advanced skills in data mining/pre-processing, data modeling, machine and deep learning, and data visualization for both supervised and unsupervised learning. This is done with proficiency in Python, R, SQL, Tableau, Azure, Power BI, etc.

Adept in research, design, and analysis, defining research questions, designing experiments, identifying data requirements, and communicating insights and recommendations due to participation in various projects.

Focused Computer Engineer skilled in Artificial Intelligence and Data Analytics with a passion for finding insights from data and driving decision making. Versatile in leading multi-disciplinary teams as well as being a team member while creating insights and providing recommendations to support business. Proficient in learning new systems, tools, and industry best practices to analyze big data due to natural curiosity.

Overview

5
5
years of professional experience
1
1
Certification

Work history

Data analyst

Pay Up
London
01.2024 - Current
  • Collect, clean, and analyze financial data from various sources to derive actionable insights and support decision-making processes.
  • Develop and maintain dashboards, reports, and visualizations to track key performance indicators (KPIs) and monitor business performance.
  • Collaborate with cross-functional teams to understand business requirements and translate them into data analysis solutions.
  • Conduct ad-hoc analysis to support strategic initiatives, product development, and business growth.
  • Stay updated on industry trends, best practices, and emerging technologies in data analytics and fintech.

Manager

Kora Beauty Spa
Accra, Ghana
11.2021 - 09.2022
  • As a manager, I contributed to a successful major rebranding and renovation of the spa and café.
  • Incrementally increased revenue with GH per month between December 2021 and July 2022.
  • Achieved 89% employee satisfaction in the survey in August 2022 and a successful staffroom project.
  • Achieved 95% customer satisfaction scores and improved Google Review ranking from 3.9 to 4.5.
  • Carried out a review of existing procurement and spending infrastructure using analytical expertise; created an asset inventory and provided options for cheaper yet quality service provision.
  • Oversaw website management and content revamp which increased site visits by 32% .
  • Developed new strategy for marketing campaigns for a period of 12 months which helped reduce client acquisition marketing spend by 60% .
  • Launched new products to increase customer engagement in massage therapy and nail departments.
  • Reduced percentage of unexplained staff absences and create a leave and off-day management system to ensure the smooth operation of business every day.

IT Intern

Zeepay Ghana Limited
Accra, Ghana
05.2019 - 07.2019
  • Tasked with managing website content and database management using PHP and SQL.
  • Performed data analysis on financial transactions using MS Excel and Python and provided weekly reports.
  • Assisted in maintaining and updating databases, ensuring data integrity and security.
  • Learnt to write basic SQL queries to extract and manipulate data from relational databases.
  • Provide technical support to end-users by troubleshooting hardware and software issues, escalating more complex problems to senior IT staff when necessary.
  • Assisted in installing, configuring, and updating software applications and operating systems.
  • Prepared weekly reports and presentations for internal stakeholders.
  • Communicated and collaborated with team members across departments to understand business needs and requirements.
  • Sought guidance and mentorship from experienced professionals within the organization.

Education

Master of Science - Artificial Intelligence

Brunel University London, Uxbridge, Middlesex
09/2022 - 09/2023

Graduated with Distinction

Dissertation: “Deep Learning-based Recommender system for analyzing customer spending habits.”

Key Modules:

  • Data Pre-processing, Data Cleaning, Quantitative Data Analysis, Critical Analysis of Modern Data, Data Visualization, Deep learning, and Machine Learning for unsupervised(PCA, Clustering) and supervised learning,
  • Predictive Data Analysis, Research Project Management, Computer Vision, Image Processing, Natural Language Processing, Neural Networks, Bayesian Networks, Probabilistic Inference, Search and Genetic Algorithms.


Bachelor of Science - Computer Engineering

Ashesi University, Ghana
09/2016 - 06/2020

Graduated with Second Class Upper

Capstone Project: “Bio-Fermented Fertiliser System—a smart recycling bin that makes fertilizer that employs IoT in waste management and recycling.”

Key Modules:

  • Design & Entrepreneurship, Programming for Engineering(Python, C), Robotics, Computer Organisation & Architecture, Data Structures&Algorithms, Operating Systems, Project Management.

Skills

  • Python
  • R
  • Tableau
  • Power BI
  • SQL
  • Dashboards
  • Sales
  • Microsoft Office
  • Cloud Computing
  • Data Visualisation
  • Data modelling
  • Data entry
  • Data analysis
  • Data collection and analysis

Websites

Certification

  • Vice President of Women in Digital Spaces - Azubi Africa, 09/2020
  • Azure Data Scientist Associate Certificate - Microsoft, 07/2020
  • Dean's List - Ashesi University, 06/2020

Languages

English
Native
Twi
Native
French
Beginner (A1)
German
Beginner

Custom

World Happiness Report, Tableau, Power BI, Interactive Data Visualization using Tableau and Power BI to derive insights from data, 03/2023 - 04/2023, Intensive data cleaning and preprocessing of happiness data set (2015-2019) in R., Built an interactive dashboard in both Tableau and Power BI that showed the happiest region in the world to be New Zealand and Australia using visual encoding, presentation, and good design principles (HCI/UCD/UX), Report on critical reflection of data and discussion on both visualization platforms' limitations and usability. Hotel Reservations Regression Project, R-Studio, Python, Predicting room price using machine and deep learning methods based on features, 03/2023 - 04/2023, Intensive data cleaning, exploratory data analysis and Principal Component Analysis to prepare data (R)., Built machine learning models (python) for Decision Tree Regressor, neural network, Random Forest, KNN, and SVM which performed well with low RMSE values after hyperparameter tuning for room price prediction., Built deep learning models for Deep Artificial Neural Network, Convolutional Neural network, and ANN which performed well with low RMSE values after hyperparameter tuning. Models were compared for best-fit Maze Solver, Python, Coursework - Implementing Search Algorithms, 11/2022 - 12/2022, Performed an experimental analysis of variants of search algorithms with the objective of determining the most efficient in finding a path through a maze., The experiment entailed the use of the graph traversal algorithms: Depth First Search, Breadth First Search, A , Greedy Best First and Uniform Cost Search., In conclusion, Uniform Cost Search executed faster provided the most optimal methods due to the least path always being followed in a weighted search space. Housing Properties Project, R-Studio, Analyzing Factors Influencing Property Prices in the UK, 12/2022, Built data models to determine influencing price factors within the UK property market., Quantitative data was used in developing linear & logistic regression models which helped analyze the price behavior across multiple factors such as the number of rooms, floor types and availability of terraces.

Affiliations

  • Cooking, Swimming, Horse riding, Music, Movies and Spa treatments.

References

References available upon request.

Timeline

Data analyst - Pay Up
01.2024 - Current
Manager - Kora Beauty Spa
11.2021 - 09.2022
IT Intern - Zeepay Ghana Limited
05.2019 - 07.2019
Brunel University London - Master of Science, Artificial Intelligence
09/2022 - 09/2023
Ashesi University - Bachelor of Science, Computer Engineering
09/2016 - 06/2020

Similar Profiles

Create profile
Sybil Meselebe