Taiwo Emmanuel Oderinde

Key Responsibilities & Achievements

• Designed and implemented RESTful APIs using Django REST Framework powering core Lumi business modules — Inventory, Payments, Expenses, Loyalty, Perfomance and Analytics.
• Built scalable backend logic for multi-store inventory control, variant management, stock transfers, and bulk product and customer uploads, ensuring high data integrity across stores.
• Developed backend services for product batching, reconciliations, returns, debtors, and storefront supporting white-label customization for enterprise clients.
• Implemented role based access control (RBAC) for internal finance workflows, enhancing platform security and permissions management.
• Integrated checkout and payment APIs for both online and in-store transactions, synchronizing real-time order data across storefronts.
• Actively participated in backend performance optimization, reducing API latency by 35% through query tuning, indexing, and caching strategies.
• Deployed and containerized services using Docker, managed background jobs with Celery & Redis, and contributed to continuous deployment pipelines.
• Collaborated cross-functionally with frontend, data, and product teams to deliver reliable, analytics-driven business tools.

Tech Stack: Python, Django REST Framework, PostgreSQL, Celery, Redis, Docker, Git, Pandas, Metabase

• Sole backend developer responsible for architecting and implementing the entire backend system for an all-in-one sports discovery and development platform connecting African athletes, coaches, scouts, and academies.
• Designed and built RESTful APIs using Django and Django REST Framework, powering user authentication, profile management, matchmaking, and talent discovery.
• Engineered role-based access control (RBAC) for distinct user types (talents, scouts, coaches, academies) to ensure secure data flow and personalized platform experiences.
• Developed a robust media management system for uploading and streaming videos showcasing athlete skills.
• Implemented search and filtering functionalities allowing scouts and academies to efficiently identify top talent across metrics like age, sport type, and skill level.
• Built an automated verification workflow, integrating email and ID validation for authenticity of profiles.
• Deployed scalable microservice architecture using Docker and Celery for background tasks such as verification checks, notifications, and analytics updates.
• Integrated PostgreSQL for structured relational data and optimized queries for performance across large datasets.
• Collaborated closely with frontend engineers to align API endpoints with UI/UX designs, ensuring seamless user interactions.

Tech Stack: Django, Django REST Framework, PostgreSQL, Celery, Redis, Docker, GitHub Actions, AWS S3 (Media Storage)

Key Impact: Built TASA’s backend infrastructure from the ground up, supporting thousands of users across Africa and enabling real-time talent discovery, recruitment, and communication.

Key Responsibilities & Achievements

• Spearheaded data analytics initiatives for Lumi Business and Lumi Rewards, a lifestyle rewards platform integrating bill payments, airtime, and partner brand offers — analyzing user behavior, transaction trends, and engagement drivers to inform product growth.
• Conducted customer segmentation and engagement analysis to identify high-value user cohorts and optimize cashback reward campaigns, directly improving user retention and activation rates.
• Collaborated with marketing and product teams to design data-informed engagement strategies, including reward timing optimization and user activity triggers.
• Built automated reporting pipelines with Python (Pandas) and SQL, delivering daily and weekly insights on user activity, campaign performance, and transaction patterns.
• Transitioned to the Lumi Business project as both a Backend Engineer and Lead Analyst, anchoring all analytics-related backend systems and business intelligence development.
• Designed and implemented sales, P&L, expense, and customer performance reports using Django ORM and PostgreSQL, integrating with Metabase and internal dashboards for merchants and management teams.
• Developed APIs and data views to support business reporting, performance tracking, and merchant analytics across stores and product lines.
• Partnered with engineering and business teams to integrate analytics directly into operational workflows, enabling real-time visibility into business health and store performance.
• Provided ongoing analytical support to guide feature prioritization for product and engineering team, customer engagement strategies, sale and marketing decision-making.
• Worked closely with product, engineering, sales, marketing, and customer support to identify bottlenecks in customer journeys and improve engagement touchpoints through analytics-backed recommendations.
• Helped the organization shift from intuition-based to data-driven decision-making, streamlining reporting workflows and reducing analysis turnaround time by over 40%.

Tech Stack: Python, Pandas, NumPy, PostgreSQL (SQL), Django ORM, Metabase, Chart.js, Excel, Git, Jupyter Notebook, REST APIs

Key Responsibilities & Achievements

• Applied Python and R to develop predictive models and perform exploratory data analysis, supporting data-driven decisions across multiple projects.
• Designed and implemented machine learning algorithms to uncover patterns in complex datasets, translating insights into actionable business recommendations.
• Collaborated with cross-functional teams to deliver end-to-end data solutions — from data cleaning and feature engineering to model evaluation and deployment.
• Conducted data visualization and storytelling using Matplotlib, Seaborn, and Power BI to communicate analytical findings to non-technical stakeholders.
• Supported real-world analytics and AI initiatives for partner organizations, including:
  Terragon Group – Improved targeted advertising performance by developing data models that increased click-through rates (CTR) on digital campaigns.
  COVID-19 Live Update Web App – Built and maintained an interactive dashboard (https://covid19.idaf.ng) providing real-time updates and analytics.
  Nylah Ltd – Developed demand forecasting and sales projection models to optimize inventory planning and supply decisions.
  Delta State Government – Conducted exploratory data analysis on the 2017–2019 civil service screening dataset, identifying key workforce and demographic trends.

Tech Stack: Python, R, Scikit-learn, Pandas, NumPy, Power BI, Matplotlib, Seaborn, SQL

Key Responsibilities & Achievements

• Participated in DataHack4FI, an African innovation competition promoting the use of data and analytics to drive financial inclusion.
• Contributed to “DePOSit”, a data-driven deposit solution designed to improve access to financial services for underserved populations.
• Collaborated with the software development team to integrate target market analytics dashboards, enhancing product insight and stakeholder decision-making.
• Designed interactive data visualizations and assisted in developing a business model with defined milestones to guide project implementation.
• Worked with cross-functional project teams throughout the project lifecycle to ensure a data-driven approach to problem-solving and solution delivery.

Tech Stack: Python, Pandas, Power BI, Excel, SQL, Tableau

• Improving Nigeria’s Caesarean section services: Data Science Role
• Exploratory and advance data analysis on the Nigeria Demographic and Health Survey, 2018 -Datasets
• Early detection of breast cancer in women: Built a Machine learning model for predicting the stage of breast cancer in women.
• Empowering Tech Talents to Build Excellent. Products and Reinvent work
• Gained significant experience and skills in predictive analytics using Python Programming Language. also gained
• Collate, query, and clean data coming in from field and lab projects, including flagging out errors arising from data obtained from the field as part of routine data checks.
• Presenting data from analysis using visualizations and report dashboards
• Develop and deploy predictive models & algorithms in analytics

• I plan and execute an efficient production flow of goods, data, or information.
• I ensure that proper quality assurance is provided for any product or data produced by the company.
• I identify and correct any equipment failures, hardware problems, or data storage difficulties that may result in product defects or useless data.
• Fast-growing paint manufacturing and chemicals & allied products company.

• Managed and coordinated daily manufacturing plans for improved product quality and marketability.
• Organized quality workshops that positively re-oriented the students.
• Responsible for note preparation, lesson delivery, and continuous assessment.

• Work assiduously to improve performance, reduce management risk, and accord special consideration for aesthetics and comfort of our clients.
• Actively involved in Assessment calculation of commercial and Industrial building plans.
• A dominant player in Nigeria’s emerging property market.