Shivani B

Data Analyst with 3.5+ years of experience delivering SQL-driven reporting, interactive dashboards, and cross-functional data solutions that reduce errors, accelerate decisions, and directly impact business outcomes. At Eversoft IT, consistently delivered client projects on time while cutting data retrieval times by 15% and reducing reporting errors by 15%. Combines deep technical fluency — SQL, Power BI, Tableau, Python — with strong stakeholder communication and Agile project experience.

Holds a U.S. Master's degree in Computer Information Systems and is known for precision, proactive problem-solving, and turning complex data into clear action.

Data Analyst - Eversoft IT - Charlotte, NC

(2022-09 - 2025-08)

• Delivered client-facing business reports using SQL and Excel, improving data accuracy and reliability for 5+ recurring reporting workflows
• Designed and deployed Power BI dashboards and executive presentations that increased stakeholder reporting clarity by 35%, adopted across 3 client accounts
• Accelerated data retrieval speeds by 15% by rewriting and optimizing complex SQL queries and restructuring database indexes
• Reduced data pipeline errors by 15% by implementing structured data validation and cleansing protocols across ETL workflows
• Collaborated with cross-functional teams — product, finance, and operations — to gather requirements and deliver analytical solutions on schedule
• Performed exploratory data analysis (EDA) using Python (Pandas, NumPy, Matplotlib), surfacing trends that informed strategic client recommendations
• Maintained and monitored daily database script execution, proactively identifying and resolving failures to ensure zero disruption to reporting cycles

Data Analyst - Gaman IT - Hyderabad, India

(2019-03 - 2021-04)

• Improved data integrity by 25% through a systematic data cleansing initiative, directly increasing reliability of downstream analytics and reporting
• Built custom Power BI and Tableau dashboards that boosted team user engagement by 20% and reduced manual reporting time by standardizing visual outputs
• Boosted analytical reliability by 35% by pioneering data accuracy protocols and standardizing data collection methods across 3 business units
• Transformed complex multi-source datasets into executive-ready Tableau visualizations, accelerating leadership decision-making cycles
• Refined data collection frameworks and documented processes to create reusable templates, reducing onboarding time for new analysts

Master of Science - Computer Information Systems - Christian Brothers University (2021-03 - 2022-06)