Samuel Ozechi

AI/ML Engineer

Interswitch Group

Mar 2023 - Current (3 years 6 months)

• Developed a RAG-based chat application using OpenAI’s GPT-4.1 language model and Qdrant vector database to embed internal business knowledge and streamline knowledge retrieval for Business Development teams, enhancing the accuracy of customer-facing value propositions. • Developed an Agentic AI system using LangGraph and GPT-4.1 to automate energy fraud detection, by integrating custom built Isolation Forest models and health-intelligence modules as tool, enabling the LLM to autonomously cross reference anomaly scores with hardware logs for high-fidelity fraud identification. • Developed an edge-native Computer Vision system for automated access control, utilizing YOLOv8n and LPRNet on a Raspberry Pi 5 with a 26 TOPS Hailo-8 AI accelerato

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Data Analyst

Sharesafe Services Ltd.

Nov 2021 - Sep 2022 (11 months)

• Utilized data visualization to track maintenance, and inspection and expiration periods for fire extinguishing systems of offshore oil facilities. • Developed interactive dashboards that provided real-time insights into system performance, maintenance activities, and risk assessments. • Developed real time dashboards to maintain optimal inventory management. • Used historical data to forecast demand for fire extinguishing systems and plan deliveries accordingly.

Data Scientist

ISmile Technologies

Apr 2021 - Nov 2021 (8 months)

• Built an efficient stock price forecasting pipeline using Long Short-Term Memory (LSTM) neural networks. • Utilize CNN to develop an object segmentation model to identify and localize early-stage COVID-19 abnormalities on chest radiographs. • Utilized K-Means clustering algorithm to developed and interpret a B2B customer segmentation model using financial, technographic and firmographic data of startups in the US. • Identified businesses that share most similarity with current customers and provided recommendations based on the segmentation to create tailored marketing strategies for each cluster.

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Content Developer (Data Science)

Draft.dev

Sep 2020 - Mar 2021 (7 months)

• Designed and developed a movie recommender system that served as hands-on learning experiences for ML engineers on using Collaborative filtering to build recommender systems. • Wrote an in-depth article on the techniques, technologies and applications of real time data processing and analytics. • Authored an article on the practical applications of generative models for enhancing customer segmentation, personalization, and recommendation systems. • Demonstrated how AI-driven customer analytics can drive business growth and improve customer satisfaction.

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Data Scientist (Intern)

Havilah and Hills Innovations Ltd.

Feb 2020 - Aug 2020 (7 months)

• Implemented statistical hypothesis testing (A/B testing) to compare ad creatives (emotional storytelling against direct product features) using key metrics including click-through rates (CTR), conversion rates, cost-per-click (CPC), and return on ad spend (ROAS). • Analysed data from various ad campaigns CTR, conversion rates, CPC, and ROAS to identify patterns and correlations. • Utilized analysis to identify the most efficient channels for client sourcing and provided recommendations that resulted in increased client engagements. • Predicted key performance indicators (KPIs) for upcoming ad campaigns, including expected CTR, conversion rates, CPC, and overall ROI for setting business expectations for upcoming campaigns.

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