Mayuresh Mukund Nigade

Acted as a bridge between Data Ops team and Analytics Team., Proficient in analytics, creating reports with intuitive UI metrics from diverse sources, and assessing large datasets for accuracy and quality., Proficient in extracting and analyzing data from SQL and Tableau dashboards to ensure data integrity., Managed account access and normalization in SQL, updating client lists and reports., Implemented advanced SQL queries for solution development and reporting, ensuring data consistency across platforms., Resolved data accuracy issues and managed multiple projects concurrently, including international clients such as Merck and LEGO., Skilled in extracting data from various social platforms like FB Ads, Pinterest, Twitter, and Snapchat., Generated SSTs (VOD and OTT) as per client specifications, converting them to required formats and conducting QA to ensure accuracy., Utilized Tableau for effective communication of business insights., Identified trends and patterns in complex datasets, using Python and SQL for evaluation., Automated queries for BMW client using Python, delivering outputs to client emails on specified schedules., Possess intermediate proficiency in Snowflakes and Dbeaver.

Acted as a bridge between Data Ops team and Analytics Team.
Created reports with intuitive UI metrics from diverse sources.
Assessed large datasets for accuracy and quality.
Extracted and analyzed data from SQL and Tableau dashboards to ensure data integrity.
Managed account access and normalization in SQL, updating client lists and reports.
Implemented advanced SQL queries for solution development and reporting, ensuring data consistency across platforms.
Resolved data accuracy issues and managed multiple projects concurrently, including international clients such as Merck and LEGO.
Extracted data from social platforms like FB Ads, Pinterest, Twitter, and Snapchat.
Generated SSTs (VOD and OTT) as per client specifications, converting them to required formats and conducting QA to ensure accuracy.
Utilized Tableau for effective communication of business insights.
Identified trends and patterns in complex datasets using Python and SQL for evaluation.
Automated queries for BMW client using Python, delivering outputs to client emails on specified schedules.
Possess intermediate proficiency in Snowflakes and Dbeaver.

Learned about Python basics (like Data types, loops, and OOP concepts).
Gained knowledge about SQL and Excel basics.
Worked closely with the CEO on the movie recommendation system project.
Successfully handled data cleaning and preprocessing using Python on Jupyter Notebook.

Learned about Python basics (like Data types, loops, and OOP concepts), Gained knowledge about SQL and Excel basics., Worked closely with the CEO on the movie recommendation system project., Successfully handled Data cleaning and Preprocessing using Python on Jupyter Notebook.