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Vyshnavi - Data Analyst

[email protected]

Location: Jersey City, New Jersey, USA

Relocation: Yes

Visa: OPT EAD

Resume file: Vyshnavi Movva Resume_1761046288521.docx Please check the file(s) for viruses. Files are checked manually and then made available for download.

Detail-oriented and analytical Senior Data Analyst with over 5 years of progressive experience, specializing in data-driven decision-making, business intelligence, and advanced analytics. Proven track record of translating complex datasets into strategic insights, supporting critical business functions such as network optimization, customer retention, marketing effectiveness, and capacity planning. Strong command of SQL, Python, and R to extract, clean, and manipulate large-scale datasets from both relational and non-relational data sources. Adept at leveraging descriptive, predictive, and prescriptive analytics to support both tactical and strategic decision-making. Extensive experience working with MySQL and SQL Server, designing complex queries and stored procedures to drive performance metrics. Expertise in data visualization tools like Tableau, Power BI, and Google Data Studio to communicate insights to both technical and non-technical stakeholders. Skilled in creating intuitive dashboards and automated reporting systems that enhance visibility into operational and customer KPIs. Advanced knowledge of statistical modeling techniques, including regression analysis, hypothesis testing, clustering, and time series forecasting, applied across various business use cases like churn prediction, network optimization, and ARPU (Average Revenue Per User) tracking. Strong background in data modeling and data governance, ensuring data integrity and standardization across projects. Proficient in Excel for quick analyses and scenario modeling, often used in collaboration with finance and operations teams. Demonstrated ability to work in cross-functional teams, communicating findings to senior executives, product managers, marketing leads, and engineering stakeholders. Known for balancing deep analytical rigor with business acumen to guide high-impact projects and influence C-level decision-making. Collaborative, proactive, and continually curious, with a growth mindset toward learning new tools, methodologies, and industry trends. Keywords: cprogramm business intelligence rlang