Daniel Orji is a versatile Data Scientist and Product Manager with a proven track record in developing and deploying data-driven solutions and leading product initiatives. He excels at leveraging advanced machine learning models, data engineering pipelines, and strategic product roadmaps to drive significant business impact, including increasing average order value by 15% and reducing pricing errors by 10%. With expertise in Python, SQL, Azure ML, and product lifecycle management, Daniel is adept at translating complex data into actionable insights and delivering scalable, user-centric products.
Operations officer
Port Harcourt, Rivers State, Nigeria
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Summary
As an Operations Officer, Daniel Orji spearheaded the development of a real-time cost calculation tool to enhance operational efficiency and profitability.
Highlights
Developed a real-time cost calculation web application using HTML, CSS, and JavaScript, specifically addressing volatile material prices in the Nigerian market.
Significantly improved pricing accuracy, leading to a 15% increase in average order value within the first quarter of implementation.
Reduced pricing errors by 10% within the first three months, enhancing client trust and operational efficiency.
Head Designer
Port Harcourt, Rivers State, Nigeria
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Summary
As Head Designer, Daniel Orji innovated a real-time cost calculation web application to optimize pricing accuracy and boost revenue for digital print services.
Highlights
Designed and implemented a real-time cost calculation web application with HTML, CSS, and JavaScript to mitigate challenges of volatile material pricing.
Elevated average order value by 15% through improved pricing accuracy, directly impacting sales performance within the first quarter.
Decreased pricing errors by 10% within the initial quarter of deployment, enhancing customer satisfaction and operational efficiency.
Product Manager
Nigeria, Nigeria
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Summary
As a founding team Product Manager at Shodrex, Daniel Orji led the strategic development and successful launch of an e-commerce MVP, driving significant user acquisition and engagement.
Highlights
Developed and executed the initial product roadmap, guiding the successful launch of the MVP within 7 months.
Achieved over 1000+ registered users in the first month and a 15% week-over-week increase in user engagement post-launch.
Collaborated closely with the CEO and development team to manage product backlog, prioritize features, and ensure efficient development cycles for platform scalability.
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B.Tech
Chemistry
Issued By
DeepTech, Nigeria
Issued By
3MTT, Nigeria
Issued By
ALx Africa
Python-Driven Data Engineering, Python, data validation, feature preparation, benchmarking, ML workflows, Deep Learning, Neural networks (CNNs, RNNs, Transformers), TensorFlow, PyTorch, pattern recognition, Advanced SQL for Data Analysis, SQL, complex queries, joins, window functions, relational databases, performance optimization, ETL processes, Microsoft Azure (Data cleaning, model training and deployment), Azure Machine Learning services, automated pipelines, dataset management, scalable model deployment, web services, Time series and Forecasting, Statistical models, ML models, ARIMA, Exponential Smoothing, Prophet, seasonal trends, future metrics prediction.
Software Development Methodologies, Agile, Scrum, Waterfall, APIs, technical architectures, Data Analysis Tools, Excel, data visualization platforms, Wireframing/Prototyping Tools, Figma, wireframes, prototypes, Product Management Software, Jira, Aha!, product backlogs, roadmaps, sprints.
Business Acumen, business models, financial metrics, market dynamics, Strategic Thinking, product opportunities, product challenges, Problem-Solving & Decision-Making, problem identification, data analysis, option evaluation, informed decisions, Prioritization & Time Management, task prioritization, deadline management, goal achievement.
Communication (Written & Verbal), idea communication, requirement communication, feedback, Collaboration & Teamwork, cross-functional teams, engineering, design, marketing, sales, Leadership & Influence, team motivation, goal achievement, indirect authority, Presentation Skills, product plans, roadmaps, stakeholder updates, Negotiation & Conflict Resolution, conflict resolution, negotiation, Empathy & User Focus, user needs, user perspectives.
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Summary
Implemented a Machine Learning solution to identify fraudulent credit card transactions. Due to the nature of fraud, the dataset was highly imbalanced, with fraudulent transactions representing only 0.167% of the total data. The system involved a Random Forest model trained on SMOTE-Balanced data to prioritize the fraud detection (Recall) while maintaining high overall accuracy.
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Summary
Analysed the Superstore's Sales Dataset (9,800 records, 18 Variables) to extract actionable insights that improved operational efficiency by tackling bottlenecks in shipping durations in certain regions, Identified peak sales season that reduced stockouts and drove decisions on advertising seasons.
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Summary
Developed a web application to dynamically calculate print costs based on fluctuating material prices, addressing a key challenge in the Nigerian market.
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Summary
Led the product strategy and execution for the Minimum Viable Product (MVP) launch of an e-commerce startup, focusing on rapid iteration and user feedback.