Summary
Overview
Work History
Education
Skills
Project Experience
Languages
Timeline
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Daniel Adesoji

Daniel Adesoji

Hays,Kansas

Summary

Practical database engineer possessing in-depth knowledge of data manipulation techniques and computer programming paired with expertise in integrating and implementing new software packages and new products into system. Offering several-year background managing various aspects of development, design and delivery of database solutions. Tech-savvy and independent professional bringing outstanding communication and organizational abilities.

Overview

5
5
years of professional experience

Work History

Data Engineer Intern

Mtn Nigeria, Mobile Telecommunication Network
Lagos, Nigeria
02.2023 - 05.2025
  • Designed and maintained data pipelines to optimize network performance analytics, leveraging tools like Apache Spark and Kafka.
  • Collaborated with cross-functional teams to integrate machine learning models into network optimization workflows, resulting in a 15% improvement in system reliability.
  • Built scalable data storage solutions to manage high-velocity, large-scale datasets across multiple departments.
  • Conducted data cleansing and transformation to ensure data quality for analytics and reporting.
  • Monitored and optimized existing systems to improve data processing speed and efficiency by 20%.

Key Achievements:

  • Automated network performance reporting, reducing manual workload by 30%.
  • Contributed to the successful rollout of 5G network analytics

AI Data Analyst Intern

Interswitch Group
Lagos , Nigeria
08.2021 - 11.2021
  • Developed high-performance data models and algorithms for predictive transaction analysis, improving fraud detection accuracy by 25%.
  • Streamlined ETL pipelines to enhance data accessibility and reduce processing time by 40%.
  • Integrated new data management tools into existing payment processing systems to enhance real-time analytics capabilities.
  • Worked with the AI research team to implement machine learning solutions in customer segmentation and credit scoring.

Key Achievements:

  • Successfully deployed an AI-driven credit scoring tool for fintech partners, improving loan approval rates by 18%.

Data Systems Associate Intern

Andela Nigeria
Lagos, Nigeria
03.2020 - 07.2021
  • Designed and implemented data warehouses to centralize team performance metrics for international projects.
  • Optimized workflows by automating data integration across CRM and project management platforms.
  • Created dashboards in Power BI and Tableau to track project progress, improving decision-making processes.
  • Provided technical support for data systems to over 50 team members across Africa and the U.S

Key Achievements:

  • Reduced data retrieval time by 40% through database optimization techniques.
  • Implemented real-time project tracking, increasing productivity metrics by 10%

Education

Master of Science - Computer And Information Sciences

Fort Hays State University
Hays, KS
05-2026

Bachelor of Science - Computer Science

Adekunle Ajasin University
Akungba Akoko Ondo State
09-2023

Skills

  • Azure platform
  • Data pipeline design
  • Docker containers
  • Machine learning
  • Python programming
  • Kubernetes management
  • Advanced Excel
  • Data modeling
  • SQL expertise
  • Tableau software
  • Google cloud
  • Data security

Project Experience

1. Scalable Data Pipeline for Real-Time Analytics

  • Designed and implemented a data pipeline using Apache Spark and Kafka to process and analyze high-velocity transaction data for a financial application.
  • Reduced data processing time by 35% through optimized ETL workflows and cloud-based infrastructure on AWS.
  • Built a dashboard using Tableau to provide real-time insights into user behavior and system performance.
  • Technologies: Python, Spark, Kafka, AWS, Tableau, PostgreSQL.

2. Predictive Modeling for Fraud Detection

  • Developed machine learning models using Scikit-learn to detect fraudulent transactions with an accuracy of 94%.
  • Integrated the model into an existing data pipeline, enabling real-time predictions for high-volume datasets.
  • Improved data ingestion and transformation processes by 40% using Apache Airflow for task orchestration.
  • Technologies: Python, Airflow, SQL, Scikit-learn, MongoDB.

3. Cloud-Based Data Warehousing for E-Commerce

  • Designed a scalable data warehouse on Google Cloud BigQuery to store and manage terabytes of e-commerce sales data.
  • Implemented ETL pipelines to automate data ingestion and processing from multiple sources, reducing manual intervention by 50%.
  • Used Power BI to visualize customer purchasing trends and generate actionable insights for marketing strategies.
  • Technologies: SQL, Google Cloud BigQuery, Python, Power BI.

4. AI-Powered Recommendation System

  • Created a recommendation engine using collaborative filtering and deep learning models to personalize user experiences on a retail platform.
  • Processed large-scale customer data with Hadoop and PySpark, achieving 20% higher recommendation accuracy.
  • Deployed the system on Azure Machine Learning Studio to integrate with existing infrastructure.
  • Technologies: Python, PySpark, Hadoop, TensorFlow, Azure.

5. Real-Time Data Monitoring for Network Optimization

  • Built a real-time monitoring system for network performance using Apache Kafka and ElasticSearch.
  • Implemented a pipeline to process streaming data from IoT devices, identifying anomalies and optimizing network operations.
  • Reduced downtime by 15% through actionable insights derived from processed data.
  • Technologies: Kafka, Python, ElasticSearch

Languages

English
Proficient (C2)
C2

Timeline

Data Engineer Intern

Mtn Nigeria, Mobile Telecommunication Network
02.2023 - 05.2025

AI Data Analyst Intern

Interswitch Group
08.2021 - 11.2021

Data Systems Associate Intern

Andela Nigeria
03.2020 - 07.2021

Master of Science - Computer And Information Sciences

Fort Hays State University

Bachelor of Science - Computer Science

Adekunle Ajasin University
Daniel Adesoji