Michael Ifiegbu

Experience

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  NNPC Limited

  May 2016 - Nov 2016

  Process Engineering Intern

  Optimized crude distillation and LPG recovery through process flow and thermodynamic modeling, and provided operational support for control systems and instrumentation in downstream oil and gas refining processes

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  GARNET FOUNDATION

  Mar 2018 - Jan 2022

  Operations Analyst

  - Streamlined operational workflows for enhanced process efficiency and utilized SQL for customer data extraction, subsequently developing dashboards in Tableau to highlight KPIs and pinpoint areas of improvement.

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  Sheffield Hallam University

  Jan 2022 - Apr 2024

  Big Data Analytics Candidate

  - Developed a fraud detection system to analyze financial customer transactions and identify suspicious activity. Constructed ML models and fine-tuned hyperparameters to optimize accuracy, precision, recall and reduce false positives based on use case requirements. - Designed and implemented ETL pipeline and data marts for the organization's data warehouse, significantly improving data quality and enabling faster insights by reducing query and visualization times through data modelling, normalization, and integration of departmental data.- Performed statistical analysis using SAS to identify strategies that improved employee productivity by 25%.- Developed a model on possible insurance claims by age group.- Analysed the effects of a proposed staff training on cosmetic sales. Show less

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  Pendo.io

  Jul 2023 - May 2024

  - Implemented user feedback tracking for feature requests using guides, leading to the validation and ranking of top 10 impactful features for boosting user engagement and acquisition.- Applied guide polls strategically to capture user feedback, enhancing Pendo Discover product usage and adoption by 161% during its beta phase.- Reviewed and optimized user workflows within the product, addressing key pain points and achieving a 33% conversion rate improvement for user activities.- Generated detailed engagement metrics based on product usage, enabling the sales team to target and enhance sales-led trials and conversions effectively. Show less - Collaborated with the design and engineering teams on the "saved view" feature to categorize user feedback, achieving a 117% adoption rate, which streamlined the process for gaining holistic insights from diverse user feedback.- Designed and optimized user flows, leveraging Pendos’ analytics and conducting A/B tests, to drive feature adoption and streamline onboarding experiences for feature launch.- Leveraged Pendo.io's platform to track key product metrics and conducted in-depth analysis of customer behaviour, enhancing product improvements and feature adoption strategies.- Fostered effective communication with diverse stakeholder groups, presenting actionable data insights and strategic proposals to drive product discussions and decisions.- Collaborated with cross-functional teams to align strategies and utilized qualitative customer feedback and usage data to address user pain points, presenting solutions to enhance product engagement and customer retention. Show less

  • Product Analytics Intern (Operations | Adoption)

    Oct 2023 - May 2024

  • Product Management Intern

    Jul 2023 - Oct 2023
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  Bravand

  Jun 2024 - now

  Analytics Engineer

  Worked on various data projects to deliver comprehensive, tailored data solutions suited to client's needs. My key responsibilities included:- Insight Generation: Analyzed data to provide actionable insights on key metrics such as spending patterns, customer behaviour, and financial gains, aiding clients in strategic decision-making.- ETL Pipeline Design: Designed and implemented efficient ETL pipelines to automate the process from data extraction to dashboard insights, ensuring accurate and streamlined data flow.- KPI Dashboard Development: Created sample KPI dashboards to illustrate potential insights, guiding further development and progress monitoring through implemented metrics.- Project Scoping and Data Validation: Led initial scoping phases to understand business requirements and validate large datasets. Identified missing and undefined attributes to ensure data completeness and accuracy.- Automated Data Extraction: Developed automation scripts to extract data from various sources, including web applications, for validation analysis and reporting. Show less