Vaibhav

Logical Data Analyst skilled in requirement analysis, software development and database management. Selfdirected and proactive professional with 3 years of vast experience collecting, cleaning and interpreting data sets.
Natural problem-solver possessing strong cross-functional understanding of information technology and business
processes. Qualified Business Intelligence Analyst versed in data mapping and user acceptance testing to solve
complex problems in high-pressure environments. Activates strong analytical skills to investigate trends in large
amounts of data and formulate conclusions based on findings. Excels at cultivating, managing and leveraging
client relationships to foster extended engagements and business opportunities. Business Data Analyst offering
experience delivering cost-effective, high-performance technology solutions to meet shifting organizational
demands. Astute technology-business professional translates operational needs into technical solutions. Equipped
with analytics and reporting expertise to provide insights in Analysis using data-driven philosophy

Handled complex data and gave insight to help plan strategic ways to improve.
Used various Google software to help in analyzing data.
Searched and resolved issues regarding integrity of data into databases.
Upheld security and confidentiality of documents and data within area of responsibility.
Collaborated with business-unit leaders to identify and prioritize problems.
Designed and implemented tools to support strategic value chain optimization initiatives.
Created various Excel documents to assist with pulling metrics data and presenting information to stakeholders for concise explanations of best placement for needed resources.
Used statistical methods to analyze data and generate useful business reports.
Identified, analyzed and interpreted trends or patterns in complex data sets.

Worked onsite on a Google project related to Google Play, Chrome, apps, movies, and books.
Coordinated with team members and respective leads for quality data analysis.
Helped improve quality and search time for search results.
Improved search experience.
Analyzed and maintained the links in the data pipelines and made sure that only relevant links were passed into the knowledge graph database.
Provided quality assurance of data.
Worked with quality assurance analyst.
Kept management team updated about new development in the process.
Interacted with clients.
Developed new ideas for process and implemented them.
Improved technical parts of the process.
Participated in requirements meetings and data mapping sessions to understand business needs.
Mined information from complex datasets with the help of SQL and Excel.
Coordinated statistical data analysis, design, and information.
Troubleshot the reporting database environment and report.
Identified and analyzed project risks and developed mitigation strategies.
Helped Google's search algorithms to show only relevant data to the customers.
Performed quality assurance to assess data and validate results.