Nithishreddy Ryala

Data Analyst with 2+ years of experience in data analysis, data cleaning, data validation, customer experience analytics, dashboard development, reporting, and data visualization. Proficient in SQL, Python, Power BI, DAX, Tableau, and Advanced Excel, with hands-on experience in ETL, data transformation, statistical analysis, KPI reporting, survey analytics, Voice of Customer (VoC), and sentiment analysis. Experienced in developing interactive dashboards, automating reporting processes, analyzing large datasets, identifying trends and business drivers, and delivering actionable insights to stakeholders.

Strong understanding of data quality, exploratory data analysis, business intelligence, and data-driven decision-making.

Data Analyst - Fortty Global Services UK (Client) - UK (London)

(2024-06)

• Collected, consolidated, cleansed, and validated survey, customer feedback, and operational data from multiple source systems to ensure data accuracy, consistency, and reliability.
• Used SQL and Python to extract, transform, clean, and analyze datasets, supporting reporting and business analysis.
• Developed and maintained interactive Power BI, Tableau, and Excel dashboards to monitor business performance, operational metrics, customer experience, and KPIs Created DAX measures, calculated columns, and KPI calculations in Power BI to support business reporting, performance tracking, and interactive dashboard analysis.
• Applied Power Query, data modelling, and data transformation techniques to prepare data for Power BI reporting and analytics.
• Analyzed Voice of Customer (VoC), customer feedback, and survey data to identify key themes, satisfaction drivers, trends, and customer pain points.
• Performed descriptive and inferential statistical analysis to identify customer trends, performance drivers, patterns, and improvement opportunities.
• Defined and monitored KPIs and operational metrics, translating business requirements into meaningful reports and actionable insights.
• Used Python and SQL to automate data preparation and reporting workflows, improving efficiency and reducing manual reporting activities.
• Performed data quality checks, validation, and QA across datasets, dashboards, data pipelines, and reporting processes to maintain analytical accuracy.
• Worked closely with cross-functional teams and stakeholders to gather requirements, understand business problems, and deliver data-driven analytical solutions.
• Communicated analytical findings and recommendations to senior stakeholders and non-technical teams using clear dashboards, reports, and data visualizations.

Master of Science - Data Science - University of Wolverhampton (2022-03 - 2024-08)

B. Tech - Electronics & Communication Engineering - JNTUH College of Engg. Sultanpur (2017-08 - 2021-08)