Anushree Kashyap
About Candidate
Detail-oriented Data Analyst with 2+ years of experience at Cognizant supporting US-based enterprise clients. Skilled in SQL, Python (Pandas, NumPy), Power BI, and Advanced Excel for data cleaning, transformation, dashboard development, and KPI reporting. Experienced in building interactive BI solutions, automating reports, and delivering actionable insights to improve business performance and decision-making. Strong ability to collaborate with stakeholders and translate requirements into impactful analytics.
Location
Education
Specialization: Information Technology and Marketing
Work & Experience
SEO Trainee – Multinational Tours | Internship (1 Year) Tracked and analyzed website performance metrics (traffic, engagement, keyword rankings) using Google Analytics and Search Console. Created structured Excel-based reports to monitor SEO KPIs and campaign progress over time. Assisted in collecting, cleaning, and organizing marketing and web performance data for analysis and reporting. Supported keyword and competitor research to identify content opportunities and improve search visibility. Contributed to performance measurement of SEO initiatives by comparing trends across pages, regions, and user behavior. Collaborated with marketing team members to implement data-driven improvements in on-page optimization. Helped streamline recurring reporting tasks by maintaining updated dashboards and tracking sheets in Excel.
Analyze large datasets to identify trends, patterns, and actionable insights for business stakeholders. • Develop and maintain interactive Power BI dashboards to track KPIs, operational metrics, and business performance. • Write complex SQL queries to extract, transform, and validate data from multiple source systems. • Perform data cleaning and preprocessing using Python to ensure high data accuracy and consistency. • Collaborate with onshore and offshore teams to understand reporting requirements and deliver timely insights. • Support monthly, weekly, and ad-hoc reporting for US-based clients. • Conduct data quality checks and resolve data discrepancies to improve reporting reliability. • Prepare documentation and knowledge transfer materials for reports and dashboards.

