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Tomisin Falode

SQL and Python Instructor/Mentor at Canada Learning Code
Intro Book
Seasoned data scientist and instructor with expertise in SQL, Python, and data analysis.
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Location
St John’s, Newfoundland and Labrador, Canada, CA
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Bio

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Tomisin Falode is a seasoned data scientist and instructor with expertise in SQL, Python, and data analysis. With a postgraduate degree in Electrical, Electronics and Communications Engineering and a Master of Science in Industrial and Production Engineering, she has honed her skills in data collection, cleaning, and analysis, as well as data visualization and reporting. She has worked as a data scientist, business intelligence analyst, and maintenance planner, and has taught various courses in SQL, Python, and data science.

Credentials

  • Scrum
    ScrumPrep.com
    Jun, 2023
    - Apr, 2026
  • Introduction to Data Science
    Cisco
    Apr, 2023
    - Apr, 2026
  • Introduction to Data Literacy
    DataCamp
    Mar, 2023
    - Apr, 2026
  • Introduction to Power BI
    DataCamp
    Mar, 2023
    - Apr, 2026
  • Building a Career in Cyber Security
    Cyber Security Challenge Nigeria (CYSEC NG)
    Sep, 2022
    - Apr, 2026
  • Introduction to Technology
    Cyber Security Challenge Nigeria (CYSEC NG)
    Sep, 2022
    - Apr, 2026
  • SQL FOR JOINING DATA
    DataCamp
    Sep, 2022
    - Apr, 2026
  • Data Analytics
    Welup Digital
    Aug, 2022
    - Apr, 2026
  • Intermediate SQL Queries
    DataCamp
    Aug, 2022
    - Apr, 2026
  • Introduction to Python
    DataCamp
    Aug, 2022
    - Apr, 2026
  • Introduction to SQL
    DataCamp
    Aug, 2022
    - Apr, 2026
  • Microsoft Excel 2019
    Earn and Excel
    Apr, 2022
    - Apr, 2026
  • Data Analytics
    Scenario Academy
    Mar, 2022
    - Apr, 2026

Experience

  • Canada Learning Code
    • Canada
    • SQL and Python Instructor/Mentor
      • Sep 2023 - Present
      • Canada

      SQL INSTRUCTOR AND PYTHON MENTOR - CANADA LEARNING CODE Sep. 2023 till dateCurriculum Development, Instruction, and Delivery:- Create and update instructional materials, including course outlines, lesson plans, and learning resources.- Develop real-world, practical examples to illustrate SQL concepts and their applications.- Lead classroom or online sessions, delivering SQL lectures, tutorials, and hands-on exercises.- Foster an engaging and interactive learning environment, encouraging questions and discussions.Skill Assessment and Individualized Learning:- Evaluate student performance through assignments, quizzes, and exams to gauge their understanding of SQL or Python concepts.- Adapt teaching methods to accommodate various learning styles and skill levels- Review and provide feedback on students' code, offering suggestions for code optimization, best practices, and style guidelines. - Offer hands-on assistance with Python programming, helping students write, test, and debug Python code. Mentoring:-Act as a mentor and guide for learners at various skill levels, from beginners to advanced SQL and Python developers, and give career advice to students interested in pursuing SQL or Python-related careers.- Provide ongoing support and constructive feedback to help students improve their Python and SQL skills.Learning Resources:- Recommending learning materials, online tutorials, books, and courses to help students self-learn Python and SQL effectively.

  • INGRYD
    • Data Scientist
      • Jul 2023 - Oct 2023

  • INFRAVISION LIMITED
    • Data Analyst
      • Oct 2019 - Jul 2023

      Data Collection, Cleaning and Analysis: - Collect and consolidate data from various sources, ensuring data accuracy and consistency. - Clean and preprocess data to eliminate errors, missing values, and outliers. - Use SQL to query databases and extract relevant data for analysis. - Utilize Excel for data manipulation, creating pivot tables, and performing statistical analysis. - Apply Python for data analysis, scripting, and automation.Data Visualization, Reporting and Insights: - Create interactive and informative data visualizations using Power BI. - Develop dashboards and reports to convey insights to non-technical stakeholders. - Prepare and deliver regular reports, highlighting key findings and trends. - Provide actionable insights and recommendations based on data analysis.Data Mining, Predictive Modeling, and Statistical Analysis: - Conduct statistical tests and analyses to identify patterns, correlations, and trends in the data. - Use Python for data mining and predictive modeling to support business forecasting and decision-making.Data Quality Assurance, Collaboration, and Continuous Learning: - Monitor and ensure data quality and consistency, recommending data quality improvements. - Collaborate with cross-functional teams and departments to understand their data needs and provide analytical support while staying updated with industry trends, best practices, and emerging tools related to data analysis.

    • BUSINESS INTELLIGENCE ANALYST (Maintenance Planner)
      • Mar 2018 - Sep 2019

      Data Collection and Analysis: - Collect and consolidate data from various sources, such as databases, spreadsheets, and external data providers.- Analyze data to identify trends, patterns, and correlations, providing actionable insights.Report and Dashboard Creation:- Develop reports, dashboards, and data visualizations using BI tools (Tableau or Power BI) to present insights to stakeholders.- Customize reports to meet the specific needs of different departments or business units.Data Interpretation and Quality Assurance:- Translate complex data into clear, understandable information for non-technical stakeholders.- Collaborate with business teams to define key performance indicators (KPIs) and metrics.- Monitor and maintain data quality, identifying and addressing discrepancies and errors.- Implement data validation processes and data cleansing as needed.Performance Monitoring, Data Forecasting, and Competitive Analysis: - Track and monitor business performance against established KPIs. - Generate alerts and notifications when performance deviates from expected levels.- Use historical data and statistical analysis to create forecasts and predictive models. - Assist in budgeting and long-term planning based on data-driven predictions.- Research and analyze market and industry trends, comparing the organization's performance to competitors.- Provide recommendations for improving competitiveness.Data Governance and Compliance:- Ensure data compliance with relevant regulations (e.g., GDPR) and maintain data governance policies.- Develop and maintain data dictionaries and metadata for effective data management.Stakeholder Communication:- Collaborate with various departments and teams to understand their data needs.- Present findings and insights to executives and stakeholders, communicating the impact on business strategy.

  • MPINFRASTRUCTURE
    • Nigeria
    • Telecommunications
    • 300 - 400 Employee
    • Maintenance Analyst
      • Apr 2017 - Feb 2018

    • Field Coordinator (Data Capturing and Data Entry)
      • Apr 2017 - Feb 2018

      Data CapturingData EntryData ManagementData Analysis

  • Honeyland
    • Tutor
      • Jan 2014 - May 2017

    • Further mathematics and Technical Drawing Tutor
      • Jan 2014 - May 2017

  • portharcourt refining company (NNPC)
    • Nigeria
    • Trainee
      • May 2010 - Dec 2010
      • Nigeria

Education

  • 2023 - 2024
    Memorial University of Newfoundland
    Postgraduate Degree, Electrical, Electronics and Communications Engineering
  • 2013 - 2015
    University of Ibadan
    Masters of science, Industrial and Production Engineering
  • 2006 - 2011
    Ladoke Akintola University of Technology
    Bachelor of Technology (B.Tech.), Mechanical Engineering
  • 2023 - 2024
    Memorial University of Newfoundland
    Postgraduate Degree, Electrical, Electronics and Communications Engineering

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