Monika Yadav

• Building reports based on the requirements raised by the requestor.
• Building QS dashboards for analytics for better visualization.
• Extracting JSON and complex data from the company database.
• Preparing scripts using Python libraries and HTML.
• Led training sessions for internal staff members, boosting their technical knowledge and skills in key areas of expertise.
• Delivered exceptional customer service by addressing user inquiries promptly and professionally.
• Collaborated with cross-functional teams to ensure data integrity and accuracy, resulting in better-informed decisions.
• Used statistical methods to analyze data and generate useful business reports.
• Improved decision-making processes with accurate data analysis and visualization techniques.

• Project Overview:
• Querying SQL queries from the company database to get the desired output.
• Find a different data set using server APIs and AWS credentials on S3.
• Taking care of all queries that are running in the backend.
• Making new queries for stakeholders within given timelines.
• Handling all database sets that are being used within the team.
• Project: Reporting Tool (Amazon AWS).
• Duration: Jan 2017 – Oct 2019
• Role in Project: Senior Data Quality Analyst.
• Tools and Technologies Used: AWS reporting tool, AWS S3, SQL.
• Project 2: Python Scripts.
• Duration: Jan 2017 – Oct 2019
• Role in Project: Senior Data Quality Analyst.
• Technologies Used: Python, Pandas, and Matplotlib.
• Project Details: Project Overview:
• Use the Python Pandas library to make complex reports and scripts.
• Schedule reports as per requirements by extracting data from different data sources using SQL.
• Geocoded data (capturing of latitude/longitude) using the Google Maps API.
• Project Responsibilities:
• Automate and improve a few data-related processes by writing scripts.
• Interpret address data, analyze results using statistical techniques, and build ongoing reports.
• Maintaining and updating database results by set.
• Testing of scripts and tools, interpreting data, analyzing results using statistical techniques, testing and enforcing standards and controls, and providing ongoing reports.
• Develop and implement a data collection system and other strategies that optimize statistical efficiency and data quality.

GPA: 68%

GPA: 69%

GPA: 80%