Harsh Munjal

Experienced Account Manager in Restaurant, Food and Beverage and Hospitality Industry with 3+ years of expertise. Skilled in client oversight, issue resolution, and relationship-building. Proficient in SQL for data exploration and improved reporting and adept at creating intuitive Tableau and Power BI dashboards. Leaning enthusiastic with the ability to change and work with fast paced work environment.

● Conducted data extraction and transformation on survey data from working professionals, enhancing its usability for visualization and optimizing representation of satisfaction, happiness, and sentiments related to co-workers, management, and salary.

● Leveraged Power BI to create visually compelling representations of satisfaction rates and sentiments across diverse aspects, including co-workers, management, and salary. Categorized findings by job titles and countries for comprehensive insights.

● Analyzed Airbnb data to gain in-depth insights into real estate investment potential, examining property trends, pricing dynamics, and key factors influencing opportunities.

Developed a visually intuitive Tableau dashboard to highlight lucrative investment prospects by assessing property types, locations, and market trends.

● Performed EDA and text analysis to successfully identified the major issues in the data.

● Implemented data cleansing procedures to enhance the quality and structure of the housing dataset.

Executed SQL operations, including updating, modifying, and altering tables, to ensure the integrity and efficiency of the MySQL database.

● Utilized SQL to extract data from 3 different related tables from COVID-19 databases using JOIN and VIEW.

● Transformed and filtered data by using aggregating and filtering function to improve reporting process.

● Employed Python and SQLfor end-to-end marketing project, including data cleaning, perform screening, transformation, and integration with MySQL.

● Created visually compelling dashboards using Power BI, leveraging Python for data import and implementing necessary groupings and views within MySQL.

Established seamless connections between data realms, databases, and dynamic visualization in Power BI, revealing actionable marketing insights throughout the comprehensive campaign project.