Summary
Overview
Work History
Skills
Education
Accomplishments
Education and Training
Certification
Work Availability
Work Preference
Quote
Websites
Timeline
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OLUWATOBILOBA  VAUGHAN

OLUWATOBILOBA VAUGHAN

Data Scientist
31 HILSIDE CRESENT WHITTLE-LE-WOODS,United Kingdom

Summary

Results-driven Data Science Consultant at AMDARI with expertise in Python and machine learning. Successfully developed predictive models that enhanced strategic decision-making and increased project efficiency. Adept at visualizing complex data insights and fostering a data-driven culture, while demonstrating strong communication skills to engage stakeholders effectively.

Overview

2
2
years of professional experience

Work History

Data Science Consultant

AMDARI
04.2025 - Current
  • Work closely with different teams to turn data into actionable insights that support business decision-making.
  • Develop predictive models using machine learning to help forecast trends and inform strategies.
  • Analyze and visualize data to clearly communicate complex findings to stakeholders.
  • Automate data collection and cleaning processes to improve efficiency and accuracy.
  • Provide advice on data architecture and best practices in data analysis.
  • Support the organization in interpreting data insights, fostering a more data-driven culture.

SUPPORT WORKER

Brothers Of Charity
08.2024 - Current
  • Provide compassionate support to individuals and families, helping them access essential products and services through community outreach and charity programs.
  • Assist in identifying client needs, offering tailored guidance, and ensuring a positive, respectful experience.
  • Maintain accurate records of client interactions, inventory, and distribution activities in compliance with data protection regulations.
  • Support the planning and execution of charity events, workshops, and awareness campaigns to enhance community engagement.
  • Demonstrate strong communication, problem-solving, and organizational skills to meet the diverse needs of the community.

Data Science Intern

SPARK Foundations
11.2023 - 04.2025
  • Supported the data science team by preparing and analyzing over 50 datasets monthly to identify key trends and patterns.
  • Contributed to the development of three predictive models that increased project efficiency by 20%.
  • Assisted in creating 10 or more interactive data visualizations and reports, helping stakeholders make informed decisions faster.
  • Participated in weekly team meetings, providing insights that improved data collection processes, reducing data errors by 15%.
  • Gained hands-on experience working with machine learning algorithms on projects that served over 10,000 beneficiaries.
  • Helped automate data pipelines, increasing data processing speed by 30%, and ensuring timely report generation.

Support Worker

Connect Care Consultancy
03.2023 - 07.2024
  • Monitored client wellbeing and reported any changes or concerns to relevant staff members.
  • Attended regular reviews of service user's care plans to ensure the best outcomes for each individual.
  • Actively encouraged service users to make decisions about their own lives where appropriate.
  • Maintained accurate records of client progress using computer systems or paper files in line with data protection regulations.
  • Delivered one-to-one sessions focused on developing communication skills, problem solving techniques, self-confidence building.

Skills

  • Python, including libraries like Pandas, NumPy, Scikit-learn, TensorFlow, Matplotlib, and Seaborn
  • sql (for database querying and data extraction)
  • R (for statistical analysis and data visualization)
  • Tableau and Power BI are used for creating interactive dashboards and visual reports
  • Git (version control and collaborative development)
  • AWS is a cloud platform for data storage and processing
  • Excel (advanced functions for data analysis)
  • Jupyter Notebooks (interactive coding and documentation)
  • Data cleaning and preprocessing: techniques for preparing data for analysis
  • Machine learning algorithms (classification, regression, clustering)
  • Data visualization (visual storytelling to communicate findings)
  • Big data technologies (optional, such as Hadoop or Spark, for larger datasets)
  • APIs (for data integration and automation)
  • Data pipelines and automation using Python scripts or tools like Apache Airflow

Education

Master of Science - Data Science

University of Salford
01-2024

Bachelor of Science - Computer Science

National Open University
01-2019

Accomplishments

  • Successfully identified and corrected data entry errors, ensuring the accuracy and completeness of records in Excel, while managing and updating internal databases
  • Developed a decision tree model for financial risk management, predicting credit card defaulters through classification modeling
  • Conducted statistical analysis, including linear regression, correlation, and time series analysis, on the World Health Organization Mortality Dataset
  • Designed a library membership database with advanced reporting features
  • Performed sentiment analysis on movie reviews using various machine learning techniques
  • Carried out in-depth analysis of clinical trial datasets, uncovering key trends and insights, and integrated this information with a dataset of pharmaceutical companies

Education and Training

other,other

Certification

  • Area of certification [CompTIA Data+ (DA0-001) Cert Prep: Domain 2.0 Data Mining], Company Name [LinkedIn ]- Timeframe [July 2023]

Skills: Data Mining

  • Area of certification [Machine Learning with Python: Foundations] Company Name [LinkedIn] - Timeframe [May 2023]

Skills: Python (Programming Language), Machine Learning.

Work Availability

monday
tuesday
wednesday
thursday
friday
saturday
sunday
morning
afternoon
evening
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Work Preference

Work Type

InternshipFull TimePart TimeContract Work

Work Location

Remote

Important To Me

Work from home optionCareer advancement401k matchPaid sick leavePersonal development programsTeam Building / Company RetreatsStock Options / Equity / Profit SharingHealthcare benefitsWork-life balanceFlexible work hoursCompany Culture4-day work week

Quote

* Analyzing data is like solving a puzzle — The pieces only fit when you understand the entire picture. * Data science is not just about numbers, but about understanding the story they tell.

Timeline

Data Science Consultant

AMDARI
04.2025 - Current

SUPPORT WORKER

Brothers Of Charity
08.2024 - Current

Data Science Intern

SPARK Foundations
11.2023 - 04.2025

Support Worker

Connect Care Consultancy
03.2023 - 07.2024

Master of Science - Data Science

University of Salford

Bachelor of Science - Computer Science

National Open University
OLUWATOBILOBA VAUGHANData Scientist