I’m a detail-oriented data analyst with a Master’s in Data Science, passionate about turning raw data into actionable insights. With a strong foundation in data visualization, statistics, and programming, I excel at uncovering hidden trends that fuel business growth and strategic decisions.
👩💻 Throughout my studies, I’ve worked on hands-on projects involving:
- Cohort Analysis: Understanding customer retention and behavior trends over time.
- RFM Analysis: Identifying key customer segments for targeted marketing strategies.
- Natural Language Processing (NLP): Performing sentiment analysis to gain insights from customer feedback.
- Machine Learning (ML): Building predictive models for business forecasting and strategy.
- Association Rule Analysis: Discovering patterns in consumer purchasing behavior.
- Sales Trend Analysis: Identifying patterns in sales data to drive forecasting and strategy.
- Data Preprocessing and Wrangling: Cleaning and preparing data for analysis to ensure accurate and actionable insights.
- Supply Chain Optimization: Using data to improve operational efficiency and decision-making.
🌱 I’m highly adaptable and excited to bring my analytical skills to new challenges, whether in retail, university environments, mining, supply chain or other industries. I’m always eager to learn and grow within any business analysis role.
📫 Let’s Connect – Feel free to reach out if you’re looking for a motivated business analyst with a passion for data-driven decision-making!