Yusuf Adeoye

Experience

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  LafargeHolcim

  Jan 2014 - Jan 2015

  Junior Process Engineer

  Limestone blasting Belt cut/Weigh off test Grinding Aide MeasurementKiln Chain Survey & Inventory of the Process Equipment

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  LafargeHolcim

  Jan 2016 - Jan 2016

  Junior Process Engineer

  Cement Plant Process activites

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  National Youth Service Corps

  Jan 2017 - Jan 2017

  Community Development Volunteer

  - A one- year mandatory para-military training and national acculturation programme

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  Synto Global Resources Limited - Flour Mills of Nigeria Vendor(SGR)

  Jan 2018 - Jan 2020

  Logistics Operations Manager

  - Driver Management: Led a team of 56 drivers, preaching safety through regular meetings and ensuring clear communication.- Managed the daily distribution of logistics resources, including fuel and road expenses, while accurately recording trip data such as distance covered and revenue generated by drivers.- Data and Reporting: Maintained accurate records of fleet activity through bi-monthly reports, including details on deliveries and truck performance.- Assisted in obtaining the best price quotes for truck parts and maintenance services, ensuring best value procurement in line with budgetary constraints.- Fleet Maintenance: Ensured all trucks were in top condition for smooth and timely deliveries.- Logistics Coordination: Achieved consistent delivery targets (1,440 tons of sugar monthly), generating significant revenue (£45,000).- Real-Time Tracking: Utilized VNS system for live tracking of trucks, enhancing security and delivery efficiency.- Inventory Management: Secured the inventory of spare parts, minimizing theft and ensuring parts availability for repairs.- Delivered consistent and timely logistics services by coordinating daily distribution of fuel and road expenses, tracking trip data for over 6000 miles per month.- Cost Reduction: Implemented fuel-efficient practices, leading to a 4% reduction in per-truck fuel expenses. Näytä vähemmän

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  LafargeHolcim

  Jan 2020 - Jan 2022

  Logistics & Supply Chain Analyst

  - Optimized logistics operations by developing and leveraging logistics tools, such as On-Time Delivery, SAP, Holcim Dispatch Manager, Log-on, and mix-Telematics, for tracking daily cement dispatches, monitoring safety issues, and ensuring accurate data collection and reporting, contributing to a 25% improvement in delivery monitoring efficiency.- Dashboard Creation and Key Performance Indicators: Enhanced decision-making by creating a monthly dashboard using Google Data Studio an Excel to provide real-time insights into plant and depot KPIs.- Provided administrative support by managing driver records, tracking activities, responding to emails, and training colleagues on business continuity processes.- Data Analysis and performance optimization: Reduced waste and improved resource utilization by analysing customer data using Python, Power BI, and Excel, achieving a 23% increase in customer engagement through A/B and hypothesis testing of a mobile order placement app.- Conducted root-cause analysis on driver efficiency and on-time delivery performance, producing actionable insights that improved service reliability and reduced delays.- Improved depot performance through the creation of a two-year performance report, which earned a "Best Compliance Award" for adherence to regulatory and operational standards.- Supported cross-functional collaboration by facilitating daily planning team discussions to meet dispatch goals, resulting in improved consignment dispatch rates.- Supported the sales and supply chain teams in engaging customers during annual meetings, fostering trust and improving product engagement- Safety Compliance and Accident-Free Operations: Ensured compliance with safety regulations amongst my team and maintained accident-free operations by enforcing safety compliance and training teams in best practices.- Customer Relations and Conflict Management: Maintained positive customer relationships through conflict and dispute management Näytä vähemmän

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  Freelance

  Jan 2023 - now

  Data Scientist

  • Improved Machine Learning Algorithm for Heart Disease Prediction from an average accuracy of 80% (computed by 11 classification models) to 89-90% using an Accuracy-based Weighted Average Ensemble.Dataset: Utilized a Comprehensive Dataset comprising Cleveland, Hungarian, SwitzerlandLong Beach, and Stalog (Heart).Activities included: Data Cleaning, Data Visualization, Hyperparameter Tuning, Exploratory Data Analysis, Statistical Analysis, Feature Selection, Data Communication, Storytelling, Modeling, and Feature Engineering.Skills/Tools employed: Proficient in Python, Plotly, Seaborn, Pandas, NumPy, SciPy, various classification models, Scikit-Learn, Interquartile Range, Confusion Matrix, Excel, ANOVA-Filter test, and Ensemble models.• Executed End-to-End Real Estate Price Prediction for Taipei using Linear Regression, followed by Deployment with Dash.• Developed and deployed End-to-End Chatbots utilizing Logistic Regression and Natural Language Processing tools (TFIDF, NLTK Vader), integrated with Streamlit.• Constructed a Music Recommendation System using the Spotify API, incorporating ETL pipeline, cosine similarity, and stored data in a Microsoft SQL Server Database.• Created an extended and robust Music Recommendation System leveraging the Kaggle Million Song Dataset. Employed tools such as TextBlob, sentiment analysis, Feature Engineering, and Term Frequency Inverse Document Frequency (TFIDF) with cosine similarity.• Conducted A/B and Hypothesis Testing utilizing statistical tests like T-test, 2-sample T Test, and Chi Squared T test to optimize website design for increased sales, customer impressions, and conversion rates.• Continuously advance my skills and share knowledge through an active online presence on GitHub (https://github.com/yoadeoye), Medium (https://yusufadigun17968.medium) Näytä vähemmän