Divanshi Sharma is a dedicated Data Analyst with proven experience in data extraction, data assurance, and advanced data analysis. She is skilled in developing interactive dashboards using Tableau and building scalable data pipelines with Python and Apache Spark. Her expertise includes leveraging SQL and Python for analyzing sales performance, customer behavior, and market trends to drive data-driven business insights.
Experience
Analyst
Dotto Business Solution
Created interactive dashboards and visualizations using Tableau, providing stakeholders with real-time insights into sales performance and operational metrics. Designed and developed scalable data pipelines using Python and Apache Spark, ensuring efficient data extraction, transformation, and loading from various sources. Conducted extensive data analysis on sales performance, customer behavior, and market trends using SQL, Python, and Excel, leading to data-driven insights that increased sales revenue by 12%. Collaborated with the marketing department to analyze campaign data, resulting in a 15% improvement in customer acquisition and a 10% increase in customer retention. Investigated and resolved data discrepancies in CRM systems, ensuring data accuracy and integrity for informed decision-making. Extracted and transformed data from various sources (e.g., databases, APIs, spreadsheets) using SQL and Python to support analytical projects. Actively participated in data training sessions, upskilling team members on data analysis tools and techniques.
Education
DAV INSTITUTE OF MANAGEMENT
Bachelor Of Computer Application
Computer Application
Licenses & Certifications
SQL
Simplileaen
Master In Data Science
Board Infinity
Python
Simplilearn