Pavan Kalyan Kondra

• Addressed customer inquiries efficiently through chat and email.
• Provide accurate and helpful responses to customers, ensuring a high level of customer satisfaction.
• Utilize Amazon's systems and tools to investigate and resolve customer issues.
• Collaborate with internal teams, such as shipping and inventory, to resolve customer issues.
• Participate in process improvements and contribute to the development of new processes and procedures.

• Designed, developed, and tested software applications using Python programming language.
• Collaborated with cross-functional teams to identify and prioritize project requirements.
• Implemented automated testing and deployment scripts to improve code quality and efficiency.
• Participated in code reviews and ensured adherence to coding standards and best practices.
• Troubleshooted and resolved technical issues, improving overall system reliability and performance.
• Worked with agile methodologies, participating in daily stand-ups, sprint planning, and retrospectives.

• Strengthened internal data governance practices by helping to develop and implement policies related to data storage, access, and retention.
• Conducted thorough competitor analysis, enabling the company to stay apprised of industry trends and informing strategic decision-making processes.
• Enhanced data accuracy by meticulously cleaning and organizing datasets for analysis.
• Continually updated professional knowledge through participation in relevant training programs, workshops, and conferences, ensuring adherence to best practices within the field of data analytics.
• Reduced manual processing time with automation scripts, allowing more focus on strategic initiatives within the department.
• Supported company-wide initiatives through data mining efforts, uncovering new opportunities for growth or process improvement based on empirical evidence.
• Bridged communication gaps between technical and non-technical stakeholders by presenting analytical findings in clear, concise language accessible to all audiences.
• Participated in project planning meetings, ensuring that data requirements were clearly defined and understood by all team members involved.
• Increased efficiency in data extraction by utilizing SQL queries for retrieving relevant information from databases.
• Identified trends and patterns in complex datasets, translating findings into easily understandable visualizations and reports.
• Mitigated potential risks by proactively identifying inconsistencies or errors within datasets, addressing issues before they impacted project outcomes or timelines.
• Analyzed data to identify root causes of problems and recommend corrective actions.
• Created dashboards to monitor and track key performance indicators.
• Updated and developed scripts and queries to extract and analyze data from multiple sources.
• Created data models to support decision-making processes.

Percentage: 68%

Percentage: 78%

Percentage: 87%