Daniel Imonikhe
Chelmsford
Summary
Highly motivated Data Scientist with a strong foundation in Computer Science and Engineering. Demonstrated expertise in data analysis, machine learning, and predictive modelling. Passionate about driving data-informed decision-making and contributing to cutting-edge energy trading solutions. Proven track record in developing and implementing data models, optimizing strategies, and generating actionable insights. Eager to leverage technical skills and analytical mindset to excel in a dynamic environment.
Overview
5
5
years of professional experience
Work History
Data scientist
Liquisto Technologies
Berlin
05.2023 - Current
- Developing dynamic pricing algorithm to optimize pricing strategies
- Conducted extensive market research and data analysis to gain insights into pricing trends and competitive landscape
- Utilized web scraping techniques to gather real-time pricing data from competitor websites and relevant sources
- Implemented dynamic pricing algorithm using advanced machine learning techniques to optimize pricing strategies based on market demand, competition, and historical sales data
- Fine-tuned algorithm through hyper-parameter optimization and A/B testing, which will result in significant increase in revenue and profitability
Data Scientist
Personal Project
Chelmsford
01.2022 - Current
- Developed and implemented data models, enhancing existing models and generating impactful solutions through proficient analysis skills
- Constructed predictive models and machine-learning algorithms to extract valuable insights from extensive datasets, minimizing analysis errors
- Devised strategic solutions to address business challenges, ensuring competitiveness in market
- Leveraged analytics to segment markets and customer base, optimizing marketing campaigns and overcoming business obstacles
- Utilized advanced data filtering and assessment techniques to identify patterns, uncover potential issues or opportunities, and deliver results to drive business growth and facilitate decision-making processes
- Examples of Projects:
- Streamlined visa approval process by conducting comprehensive analysis of visa applicant data
- Developed predictive model, identified influential factors for visa status, and provided actionable recommendations for certification or denial of visa applications
- Analyzed company's dataset related to wind energy machinery and production processes
- Utilized multiple classification models, fine-tuned them, and identified most effective model to enhance production efficiency
- Investigated influence of layer height, extrusion rate, and line width on 3D-printed ABS material
- Built machine learning model to predict influence of these various parameters
- Explored impact of silver nanoparticles as corrosion inhibitors for mild steel in microbial environments
- Developed machine-learning model to predict corrosion rate.
Materials Engineer
Chenotech Nigeria Limited, Port
Harcourt
05.2018 - 11.2018
- Collaborated with production teams to ensure seamless transition from design and testing to full-scale manufacturing
- Conducted thorough investigations into design failures in field, identifying necessary corrections for future iterations
- Coordinated and assessed manufacturing processes to enhance efficiency and profitability
- Applied core engineering principles to optimize manufacturing processes and materials choices, including gathering and organizing material samples for testing and conducting failure analysis on pipes
- Achieved 25% increase in production efficiency through successful implementation of Lean Manufacturing principles
- Saved $250,000 in materials costs through meticulous selection and procurement strategies
- Decreased product failure rate by 30% through data-driven investigations and proactive process optimization initiatives.
Education
Masters - Computer Science With Artificial Intelligence
University Of York
York, England01.2025
Masters - Mechanical Engineering
Anglia Ruskin University
Chelmsford, England09.2022
Associate of Science - Data Science And Business Analysis
University of Texas At Austin
Austin,Texas08.2022
Bachelors - Metallurgical and Materials Engineering
Federal University of Technology Akure
Akure, Nigeria12.2019
Skills
- Data Analysis
- Machine Learning
- Mathematical and Statistical Fundamentals
- Python (NumPy, Pandas)
- SQL
- Data Visualization (Matplotlib, Seaborn)
- Data Science
- Artificial Intelligence
- Machine Learning
- Python programming language
- Supervised and Unsupervised Machine Learning Models (eg, XGBoost, KNN)
- Multi-objective Optimization Algorithms
- Deep Learning Models (Neural Networks)
- AI Algorithms Implementation
- Research and Analysis
- Predictive Modeling
- Web Scraping
- Attention to Detail
- Communication
- Technology Enthusiasm
Work Availability
monday
tuesday
wednesday
thursday
friday
saturday
sunday
morning
afternoon
evening
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Quote
Every problem is a gift—without problems we would not grow.
Tony Robbins
Timeline
Data scientist
Liquisto Technologies
05.2023 - Current
Data Scientist
Personal Project
01.2022 - Current
Materials Engineer
Chenotech Nigeria Limited, Port
05.2018 - 11.2018
Masters - Computer Science With Artificial Intelligence
University Of York
Masters - Mechanical Engineering
Anglia Ruskin University
Associate of Science - Data Science And Business Analysis
University of Texas At Austin
Bachelors - Metallurgical and Materials Engineering
Federal University of Technology Akure
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