Welcome to my GitHub profile! I'm Mia Volka, a passionate data analyst with a knack for turning complex data into actionable insights. I thrive on solving problems and enjoy exploring new techniques to extract meaningful information from data.

I graduated with a degree in Statistics and have been working in the field of data analysis for over 5 years. My journey started with basic Excel spreadsheets, but over time, I've honed my skills in Python, SQL, and various data visualization tools. I love delving into datasets, uncovering patterns, and telling stories through data.

• Data Analysis
• Python
• SQL
• Data Visualization (Matplotlib, Seaborn, Tableau)
• Statistical Modeling
• Machine Learning (Scikit-learn, TensorFlow)
• Data Cleaning and Preprocessing
• Exploratory Data Analysis (EDA)
• Big Data Technologies (Hadoop, Spark)

Here are some of the projects I've worked on recently:

• Customer Segmentation using K-Means Clustering: Analyzed customer data to identify distinct segments for targeted marketing campaigns.
• Predictive Maintenance with Machine Learning: Developed a model to predict equipment failures in a manufacturing plant, reducing downtime and maintenance costs.
• Sentiment Analysis of Customer Reviews: Analyzed text data from online reviews to understand customer sentiment and improve product offerings.
• Sales Forecasting using Time Series Analysis: Built a forecasting model to predict future sales based on historical data, aiding in inventory management.

• LinkedIn: Mia Volka
• Email: [email protected]