Baliqees Oladunjoye

OLADUNJOYE BALIQEES JOLADE Data Analyst- https://github.com/Baliqees-Oladunjoye:​ - https- https://www.linkedin.com/in/baliqees-oladunjoye-986260bb/ Lagos, Nigeria Summary Data Analyst skilled in Excel, Power BI, and SQL, with experience in data cleaning, visualization, and reporting. Adept at transforming complex datasets into actionable business intelligence to support strategic decisions. Strong in remote collaboration and delivering accurate, stakeholder-focused insights. ​ Technical Skills Programming Languages Python, SQL​ Data Analysis Tools/Libraries Pandas, Numpy, Matplotlib, Data Visualization Tools Power-Bi, MS-Excel​ ​ ML Libraries/Techniques: Scikit-Learn (experience with ​ association rule algorithms) Other Tools MS Office (Power Point, Word, Outlook)​ Soft Skills Critical thinking, communication, problem-solving, Power Query​ ​ ​ ​ ​ collaboration. Core Competencies: Data extraction and cleaning, data wrangling, exploratory data analysis, data visualization, reporting, and storytelling FEATURED PROJECTS ​ Project 1 Hotel Reservation Analysis (SQL, Power Bi) Objective: Identify booking trends, revenue growth, and operational needs to support hotel business decisions. ● Conducted Hotel Reservation Analysis, employing SQL to clean and analyze the dataset. ● Utilized Power BI for visualization ● Explored busiest months, tracked yearly revenue growth, assessed parking space needs, and identified top-performing agents. ● Presented insights through visualizations and a comprehensive written report. Project 2 Market Basket Analysis for Customer Segmentation (Python) Objective: Generate insights into customer purchasing behavior to drive marketing strategy ●​ ●​ ●​ ●​ Tools: Python (Pandas, Matplotlib), Apriori Algorithm Cleaned dataset and visualized best-selling items and top customer demographics Created monthly sales visualizations to identify seasonal trends and high-sales periods Implemented the Apriori Algorithm to identify frequently purchased items together, guiding strategic cross-promotion and upsell campaigns Project 3 Amazon Product Sentiment Analysis (Python) Objective: Analyze Amazon product reviews to uncover customer sentiment and key themes for improved decision-making. ● ​ Conducted sentiment analysis on Amazon product reviews, utilizing Jupyter Notebook for data cleaning and analysis. ● ​ Leveraged Matplotlib and Seaborn for comprehensive visualizations. ● ​ Employed WordCloud to visually represent the significance of various words across different sentiments. ● ​ Developed a model using Logistic Regression with Scikit-learn, achieving an impressive accuracy of 91%. Professional Experience Data Analyst (Excel/Power Bi, Power Point)​ Insearch Decisions and Strategies Limited​ September 2024 – Present ●​ Collect, process, and analyze data to generate insights supporting strategic decision-making ●​ Extract and clean data from multiple sources, ensuring quality for effective analysis ●​ Develop visualizations and dashboards in Power BI and Excel to communicate insights Data Analyst Fellow (SQL, Power Bi, Python, Excel)​ Tech4dev​ August 2022 – January 2023 ●​ Utilized Excel, Python, and Power BI for data analysis and predictive modeling to forecast trends ●​ Delivered insights from marketing and customer behavior data, supporting data-driven decisions Education & Certifications 2024 Microsoft Certified Power BI Data Analyst Associate, Microsoft - Bachelor of Technology, Industrial Chemistry, Federal University of Technology, Akure - Introduction to Data Science and AI, Tech4dev Excel Fundamentals for Data Analysis Foundation, Coursera Data Science and AI Fellowship, Tech4dev