Gabriel AI, ML, DL, Data Engr, Big Data, Python, Java etc.
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I equip students, workers, job-seekers and professionals with needed skills, experience with projects and tutoring services that are unique to their specific needs, in Artificial Intelligence, Machine Learning, Deep Learning, Data Engineering, Big Data, Software Engineering, App Development and Cloud computing/Engineering.

I understand in depth what the student needs are, and then go beyond solving the need. Making sure the student is better in knowing the subject-matter in depth, employing the right tools to help facilitate memory-sticking kn0wledge on the subject matter.

My aim is to always understand and solve what the major aim of the student/client is defined as from the get-go.

I take and break concepts into understandable pills/dozes of knowledge, that the student can take-in with hands-on real life examples that'll make the learnt-concept stick for a life-time,

Subjects

  • Big Data analytics Beginner-Expert

  • Artificial intelligence Beginner-Expert

  • Deep Learning, Python, PyCharm Beginner-Expert

  • Machine learning Python Beginner-Expert

  • Data engineering Beginner-Expert

Experience

  • Tableau Big Data Analytics Trainer/Tutor (Oct, 2018–Nov, 2018) at USAID
    Trained and tutored staff members that use data to analyze large sets of data to help with data forensics & assurance for work and for sourcing UN goals loan grants from Bill & Melinda Gates Foundation.
  • Senior Data Engineer (Feb, 2018–Present) at Silicon Tech Analytics
    1. Collaborated & Lead the Data team during Design & Development of Real-time enterprise analytics solutions for “MyTaxi” (Now called FREE NOW): Created dedicated SQL pools and spark pools in Azure Synapse Analytics; ingested and transformed data Serverless SQL Pool and Spark Pool; served data to Power BI from Serverless SQL Pool and Dedicated SQL Pool, doing operational reporting from the data stored in Cosmos DB using Azure Synapse Analytics. (2 years Remote Project)

    2. Smart Vehicles Project: Created Architect Diagram for Vehicles Data engineering Solution; Also created End to end Pipelines with triggers enabled. Added other pipelines for moving data from Staging to SQL DB; with End to end testing. (6 months Project)

    3. Supervised, designed & deployed Machine Learning Model for Customer Churn Prediction to AWS using Terraform monitoring a Data team of 4. (3 months Project)

    4. Developed an AWS Glue Serverless Data Integration ETL Stream for Cost Optimization: Streaming orders to a data-lake for analytics and machine learning; And simultaneously flagging specific orders or prices for reviews for further analysis by the data team. . . And multiple projects
  • Data Scientist / ML Engr (Jan, 2017–Feb, 2018) at Silicon Tech Analytics
    1. Loan Defaulter Prediction Model for Bank of Agriculture: This led to 57% rate of Loan being paid because we were able to profile certain features that was common to loan defaulters with 10 years historical dataset. It also assisted/increased the effectiveness of the “KYC/DueDiligence”team

    2. Customer Segmentation: FinTech campaigns using RFM; by segmenting subscribers into “Buckets” for target product marketing, sales & Ads.

    3. Developed new metrics & Reports for improving quality & accuracy of forecast. Predicted product sales to within 8% by applying L.R Model.
  • Head, S.M Data Analytics (Feb, 2015–Jan, 2017) at Megamillions via Mlotto
    1.Social Media & App Analytics via Google Analytics; Analyzed social media data metrics and strategically advised on KPIs; increasing brand exposure by 19% within 2 months

    2. Using Google Analytics backend Data interface to increase online engagement & reduce or mitigate website and mobile app bounce rate;

    3. Led a team of 4 for digital engagement data extraction and compilation into Excel from all online platforms for ROI analysis; to determine best-performing platforms in total outreach; which was used to determine an effective online campaign budget spend/share. etc
  • Developer & Data Analyst (Oct, 2011–Jan, 2015) at Coral Oil & Gas
    1.Performed Data Analysis of Asset & Liability analysis. Web Developer.

    2.Investment Analysis: Determined value of 5 different S.A Oil Companies to know which one(s) were worth investing in; with key insights presented & explained to stakeholders.

    3.Data Analysis
  • Retail Market Analytics, Relationship Officer (Sep, 2008–Oct, 2011) at Intercontinental Bank
    1. Daily market prospect data collection, Data Analysis of new data for corresponding actions for defined results

    2. Marketing Analytics: Compiled/prepared data & reports daily for monthly performance reviews; Recommended over 100 actionable steps within the 1st yr that improved balance sheet & profits for the branch.

    September 2008 - October 2011
  • Data Analyst (Sep, 2007–Aug, 2008) at Freelance Data Analyst
    i. Data Collection and Cleaning: Gather data from various sources such as databases, APIs, spreadsheets, and websites. Clean, preprocess, and organize the collected data to ensure its accuracy and consistency.
    ii. Data Analysis: Apply statistical techniques and methods to analyze the data and identify patterns, trends, and relationships. Conducting exploratory data analysis (EDA) to gain a deeper understanding of the dataset.
    iii. Data Visualization: Create visualizations (charts, graphs, dashboards) to communicate insights and findings effectively to stakeholders.
    iv. Data Interpretation and Reporting: Interpret the analysis results and draw meaningful conclusions and actionable recommendations. Prepare detailed reports summarizing the analysis, findings, and recommendations in a clear and understandable format.
  • Mathematics Teacher/Tutor (Oct, 2006–Aug, 2007) at National Youth Service Corps(NYSC)
    1. Curriculum Development and Implementation: Design and develop engaging and effective mathematics curriculum in alignment with educational standards and school guidelines.
    Plan and execute lessons, ensuring appropriate coverage of topics and concepts at various grade levels.
    Classroom Instruction:
    2. Conducting interactive and stimulating classroom sessions to teach mathematical principles, theories, and methods; Utilizing a variety of teaching methods and resources to cater to diverse learning styles and abilities within the classroom.
    3. Student Assessment and Progress Monitoring: Administer assessments, quizzes, and examinations to evaluate students' understanding and progress in mathematics. Provide constructive feedback and guidance to students to enhance their learning outcomes.
    4. Individualized Instruction and Support: Offer personalized assistance to students who require additional help or have specific learning needs, ensuring their understanding and mastery of mathematical concepts. Conduct extra tutoring sessions and consultations to aid struggling students and reinforce learning.
    5. Classroom Management: Maintain a well-organized and conducive learning environment that fosters a positive classroom atmosphere and encourages active student participation. Enforce discipline and appropriate behavior among students, promoting respect and consideration.
    6. Parent and Stakeholder Communication: Communicate with parents or guardians regarding students' academic progress, behavior, and areas for improvement in mathematics. Attend parent-teacher conferences and provide insight into students' performance and strategies for improvement.
    7. Professional Development: Stay updated on advancements and developments in mathematics education, integrating innovative teaching techniques and technologies into the curriculum.
    Participate in workshops, seminars, and training to enhance teaching skills and knowledge.

Education

  • Mathematics (Sep, 1999–Feb, 2005) from University of Ibadan, Ibadan, Oyo, Nigeria

Fee details

    ₦25,000–50,000/hour (US$16.15–32.30/hour)

    If student is outside Africa, I charge between $25-$30 an hour

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