I am Priyanka Kumari Chaurasia, a Data Analyst with a strong business acumen and proficiency in statistics and analytics. I have a proven track record of delivering data-driven insights through metrics in various projects. I am proficient in Python, MySQL, Machine Learning, and Power BI, and have successfully conducted comprehensive data collection, cleaning, and analysis using various tools and techniques.
One of my notable projects is the Noida-Vegetable Market Analysis, where I utilized Python, Selenium, Beautiful Soup, Excel, NumPy, Pandas, Power BI, and SQL to collect and analyze data, identify growth opportunities, and optimize decision-making through dynamic data visualizations. I have also developed a machine learning model for precise car price predictions in the Hyundai Car Price Prediction project, leveraging Python, Beautiful Soup, Selenium, and Machine Learning techniques.
I hold a Bachelor of Arts in English Literature and an MBA in HR & Marketing. I have applied my data analytics skills in various domains, including the Airlines Business Optimization project, where I used Google Collab, SQLite with Python, pandas, and Seaborn to analyze data and devise effective strategies to increase occupancy and revenue.
