NIDHI PANDEY

Entry-level Data Analyst with a strong foundation in statistics, SQL, Python, and data visualization. Career transitioner with hands-on project experience from Scaler Academy, working on real-world business datasets including Netflix, Aerofit, and Target. Skilled in exploratory data analysis, extracting insights, and providing actionable business recommendations. Seeking a fresher Data Analyst role to support data-driven decision-making.

Project 1:Netflix – Data Exploration and Visualization, Tools: Python, Pandas, Matplotlib, Seaborn, Performed exploratory data analysis on Netflix content dataset, Analyzed Movies vs TV Shows distribution, genres, release trends, and ratings, Conducted country-wise analysis to identify regional content preferences, Generated insights to support decisions on content production and global business growth, Created visualizations to clearly communicate trends and findings, 

Project 2: Aerofit – Descriptive Statistics and Probability Analysis, Tools: Python, Statistics, Analyzed customer demographic and fitness behavior data, Applied descriptive statistics to identify key customer segments, Used probability concepts to analyze product preference patterns, Provided data-driven insights to support marketing and product strategy, Target – Retail Data Analysis using SQL, Tools: SQL, Analyzed large retail and transactional datasets using SQL, Wrote complex queries using joins, subqueries, aggregations, and window functions, Identified sales trends, customer behavior, and order patterns, Delivered actionable recommendations to improve business performance, 

Project 3 : Target – Advanced SQL Business Insights, Tools: SQL, Performed end-to-end data analysis on retail datasets, Evaluated customer purchasing behavior and operational metrics, Translated analytical results into clear business insights for decision-makers