

π Data Analyst & Data-Driven Strategist π
With a passion for turning data into actionable insights, Iβm an aspiring Data Analyst transitioning into the IT field. My journey has equipped me with a strong foundation in Python, SQL, and machine learning, including hands-on experience with large language models (LLMs).
I excel at extracting meaningful insights that drive strategic decisions, utilizing my skills in data analysis, visualization, and wrangling.
Feel free to explore my projects below to see how I apply my skills to solve real-world problems and drive data-driven insights.
Current Tech Stack:
π Programming Languages: Python, SQL
ποΈ Databases: MySQL
π Data Visualization: Matplotlib, Seaborn
π€ Machine Learning: Scikit-learn, LLMs
π¦ Data Manipulation: Pandas
π Tools: Jupyter, Tableau, Power BI
π Cloud Platforms: AWS, Google Cloud
π§ Version Control: Git, GitHub
Iβm eager to contribute to innovative projects and collaborate with professionals to foster data-driven decision-making. Letβs connect and explore how we can leverage data to achieve impactful results together!
β’ Analyzed inspection data to predict health inspection outcomes.
β’ Implemented data wrangling techniques to clean and prepare the dataset.
β’ Built models using bagging and boosting predictors, achieving high predictive accuracy.
β’ Created visualizations such as ROC curves and PDP interaction plots to enhance interpretability.
β’ Utilized data-driven strategies to monitor customer preferences and optimize bar operations, resulting in a 15% increase in revenue and a 20% improvement in customer satisfaction scores.
β’ Implemented a data-driven approach to monitor customer preferences and bar traffic, leading to optimized staffing schedules and reduced labor costs by 10%.
β’ Analyzed sales data to inform menu redesigns and promotional strategies, leading to a 25% increase in customer engagement and repeat business.
β’ Managed recruitment, training, and performance evaluation for a team of 10+ staff, leveraging data insights to improve efficiency and reduce turnover by 15%.