Riya Sharma

Seeking a position in the dedicated organization to utilize my skills and abilities that offers professional growth while being resourceful, innovative, and flexible. Experienced and successful at adapting to changing conditions and efficiently learning new processes. Aggressive and determined to find the organization's culture's strengths and weaknesses to improve the company's productivity and profitability. I want to perform and move up the ladder in the organization

AlmaBetter, 01/2023, 12/2023, Certificate in Data Science

Dashboard for In-Depth Sales and Profit Analysis | Power BI, Excel link/dashboard
• Conducted comprehensive analysis of total sales and profit trends.
• Explored data dimensions such as region, product category, and customer segment.
• Identified key patterns, growth opportunities, and areas for improvement.
• Utilized Microsoft Excel and Power BI for data visualization.
Diwali Sales Analysis using Python | Python link/diwalisale
• Implemented data cleaning and processing using Python, leveraging Jupyter Notebook.
• Utilized popular Python libraries such as numpy, pandas, matplotlib, and seaborn.
• Conducted exploratory data analysis to derive actionable insights.
• Analyzed gender vs. total amount, total amount vs. age group, and total orders from top 10 states.
• Identified top 10 most sold products and provided insights into buyer demographics.
• Demonstrated proficiency in Python for data analytics and visualization.
Analysis of Mobile Data 2023 | SQL, Power BI link/Mobile2023
• Conducted an in-depth analysis of mobile data using SQL and Power BI.
• Identified and analyzed total mobile brands, totaling 600.
• Explored the operating systems of mobile devices.
• Analyzed mobile brands, internal storage capacities, and selfie camera specifications.
• Examined mobile battery capacities and performed an analysis of 5G adoption.
Car Dekho Project | SQL, Power BI link/cardekho
• Read and processed data using SQL for the Car Dekho project.
• Obtained the total count of cars to understand the dataset’s scope.
• Answered specific queries regarding car availability in 2023, 2020, 2021, and 2022.
• Addressed requests, including printing total cars by year and counting diesel cars in 2020.
• Examined the complete list of all cars between 2015 and 2023, for detailed count information.