
A highly motivated Data Analyst with 2 years of experience in transforming complex data into actionable insights. Proven expertise in statistical analysis, data visualization, and predictive modeling. Adept at utilizing tools like Python, SQL, and Tableau to support data-driven decision-making. Strong analytical thinker with a track record of improving operational efficiency and driving business growth through data insights.
Strengths:
Project proposal to predict credit card approval,
BANKING AND FINANCE,
Data Science, Odin School - Mar 2023 – Present
Data Collection and Preparation:
· Learn to gather and organize large volumes of data from various sources.
· Clean and preprocess data to ensure accuracy and consistency.
Exploratory Data Analysis (EDA):
· Perform basic exploratory data analysis to understand patterns and trends within the data.
· Gain familiarity with statistical techniques for data summarization.
Machine Learning Fundamentals:
· Receive training in basic machine learning algorithms and models.
· Understand the principles of supervised and unsupervised learning.
Data Visualization:
· Learn to create clear and meaningful visualizations to communicate findings.
Utilize tools like Matplotlib or Seaborn for data visualization.