Machine Learning Engineer & Data Scientist with 3+ years of experience across social, healthcare, energy, and mining. I build data products end-to-end: ingestion and pipelines, ML modeling, evaluation, and deployment. Recently: short-form video recommendation systems, virality prediction, graph-based friend discovery, and content moderation at Pingtop/Tezda. Helped drive the app to 100k users in two months with scalable ML architecture and analytics. :contentReference[oaicite:0]{index=0}

Languages & Core

• Python, SQL, R • Pandas, NumPy • FastAPI, Flask • Git/Docker • Airflow

ML / AI

• scikit-learn, XGBoost • TensorFlow/Keras, PyTorch • NLP (spaCy) • Recommenders • LLMs/GenAI

Data & Cloud

• PostgreSQL, MongoDB, Neo4j • AWS (EKS, CI/CD) • Terraform, Kubernetes (EKS)

Analytics & Viz

• Power BI, Tableau, Plotly, Matplotlib, Seaborn

• Short-Form Video Recommender + Virality Prediction
  Built multi-engine feed (New/Trending/Random/Following/User/Item), A/B tested slotting, and trained an XGBoost classifier using early content signals and late engagement labels. Added monitoring dashboards for source/uptime. (Pingtop/Tezda)

• Graph-Based Mutual Friend Discovery & Influencer Fallback
  Neo4j-backed relationship modeling for better social discovery; deployed activity-log and profile-view endpoints for engagement telemetry. (Pingtop/Tezda)

• Video & Comment Moderation Platform
  Multi-model moderation (NSFW/hate/gore, Whisper for ASR), deployed on AWS EKS with CI/CD and queues for scale.

• HIV Program Dashboards (Power BI)
  Cross-platform KPI tracking that improved data concurrence by 12% and module alignment by 45% across facilities.

• Production-Ready APIs (Personal)

  • Image Classification API: FastAPI + Keras/InceptionV3, tokens/quotas, Prometheus metrics, Dockerized.
  • Text Similarity API: Flask + spaCy embeddings with token-based usage, MongoDB persistence.

• Senior ML Engineer — Pingtop/Tezda (Jun 2025 – Present)
  Recommenders, moderation, graph discovery, observability; drove rapid adoption past 100k users within 2 months with scalable ML systems.

• Data Scientist — Prime Frontier Group (Jun 2025 – Sep 2025; Sep 2025 – Present as Technical Ops Manager)
  Commodity price modeling (XGBoost + ESG signals), renewables prospectivity mapping, platform architecture leadership, and external technical delivery.

• ML Engineer — Pingtop/Tezda (Mar 2025 – Jun 2025)
  Virality prediction pipeline; cross-platform social video ingestion and normalization.

• Health Informatics — Heartland Alliance (Jan 2024 – Feb 2025)
  EMR/DB admin across facilities, Power BI dashboards (+12% concurrence, +45% module alignment), trainings and data QA.

• Database Admin & Network (Intern) — DOTMAC Technologies (Jun 2020 – Feb 2021)
  Network monitoring (UNMS), inventory/profile management (Splynx), surveys and fiber installs.

• Built and productionized recommender systems, moderation, and graph analytics that scale.
• Comfortable with E2E ownership: data collection → modeling → deployment → monitoring.
• Clear communicator who turns data into actionable decisions and dashboards.

• Google Data Analytics (2025) • Power BI (Maven) • SQL Masterclass • Flask/Docker/MongoDB on AWS • LLM Engineering

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🔥 Streak

• 📧 sedungbola@gmail.com
• 🧑‍💻 GitHub: Sedungbola