Jigyasu Dubey

Data Analyst with a solid foundation in data analytics, skilled in Python, SQL, Excel, and Power BI, along with a basic understanding of Artificial Intelligence and Machine Learning. Proven track record of transforming raw data into actionable insights through academic projects, focusing on data cleaning, exploratory data analysis, and predictive analytics. Experienced in creating interactive dashboards and visualizations, effectively communicating complex findings to non-technical stakeholders. Aiming to contribute analytical expertise and foundational AI knowledge in an entry-level role to enhance data-driven decision-making and support organizational growth.

• NETFLIX SALES ANALYSIS

Analyzed Netflix sales and subscription data using Python, SQL, and Excel to identify revenue and user trends. Performed data cleaning, EDA, and Power BI dashboarding to generate actionable insights.

• WALMART SALES ANALYSIS

Analyzed Walmart sales data using Python, SQL, and Excel to assess store performance and customer behavior. Conducted EDA and built Power BI dashboards to visualize KPIs and support decisions.

• Iris Flower Classification

Developed an Iris Flower Classification model using Python and scikit-learn to predict flower species. Applied data preprocessing, train-test split, supervised learning, and accuracy evaluation.