NANDYALA VARSHITHA

Proficient in programming and data analysis using Python and SAS, with strong capabilities in writing scripts, automating tasks, and performing statistical analysis. Skilled in SQL for querying and managing relational databases. Experienced in building interactive dashboards and visual analytics using Tableau and Power BI. Familiar with SAP for enterprise resource planning, including reporting and system integration tasks. Advanced user of Microsoft Office Suite, particularly Excel (including Pivot Tables, VLOOKUP, and Macros), PowerPoint, and Word for professional documentation and presentations. Exposure to engineering and utility-specific tools such as GDT, Small world, and DDS. Competent in working within Windows environments, with basic familiarity in Linux. Strong in critical thinking, problem-solving, teamwork, adaptability, and communication. Energetic and detail-oriented Data Analyst with a strong foundation in Electronics and Communication Engineering and a Master’s degree in Management Information Systems. Proficient in Python and SAS for data analysis, statistical modelling, scripting, and task automation across diverse datasets and environments. Skilled in SQL for querying, joining, and managing large-scale relational databases to extract meaningful insights. Experienced in developing dynamic and interactive dashboards using Tableau and Power BI, enabling clear visualization of trends, KPIs, and actionable data points. Advanced user of Microsoft Excel (including PivotTables, VLOOKUP, advanced formulas, and Macros) for analysis, automation, and reporting. Strong grasp of Microsoft PowerPoint and Word for developing executive-level reports, technical documentation, and data-driven presentations. Familiar with SAP for enterprise resource planning, reporting, and system integration tasks to support business operations. Exposure to engineering and utility-specific tools such as GDT, Small world, and DDS through involvement in utility-based projects (staking, pole relocation, and analysis). Competent in navigating Windows operating systems with basic familiarity in Linux environments for scripting and data processing tasks. Strong communication skills with the ability to translate technical findings into business insights for both technical and non-technical stakeholders. Demonstrated critical thinking and problem-solving capabilities with a proactive attitude and strong attention to detail. Excellent team collaboration skills, with proven adaptability and initiative in fast-paced, cross-functional project environments. Passionate about leveraging data to support strategic decision-making and committed to continuous learning in the evolving field of data analytics.

• Linear Regression with Python - Coursera
• Create Your First Python Program From UST - Coursera
• Google Data Analytics Professional Certificate - Coursera
• Tableau Fundamentals - Coursera
• Excel for Data Analytics - edX
• Power BI - Microsoft Learning