Dnyaneshwari Ekhe

Experienced Tableau Developer with a demonstrated history of working in data analytics and visualization. Skilled in developing interactive dashboards, reports, and data visualizations to drive business decisions. Proficient in SQL, data manipulation, and analysis. Strong communication and problem-solving skills. Committed to delivering high-quality solutions that empower organizations to harness the power of their data.

1. Sales and Operations Dashboard (JioMart Digital and Reliance Digital)

-Need: Creating daily Excel reports manually was both time-consuming and resource-intensive, requiring significant manpower. By utilizing  Tableau reports, we streamlined the process further by implementing subscription emails. This automation eliminated the need for manual email sending, enhancing efficiency and ensuring timely dissemination of information.

-Skills Used: Tableau Desktop, Apache Superset, SQL, Excel, Dashboard Design, Data Analysis

-Outcome: Because of these dashboards, upper management gained valuable insights into the patterns of target versus achievement. This visibility empowered them to identify any discrepancies and take proactive measures to ensure targets were met. In instances where targets were not being fulfilled, they could promptly intervene by motivating and guiding retailers to meet their goals.

2. Sales Summary Dashboard (Tata Motors)

-Need: We created a sales dashboard that acted like a funnel. It tracked each step of the vehicle buying process—from visiting the showroom to making a purchase. This helped us identify where we were falling behind in the process so we could improve our sales strategy.

-Skills Used: Tableau Desktop, Tableau Server, SQL, Excel

-Outcome: By identifying bottlenecks in the sales process through the funnel dashboard, the sales team can streamline their efforts, leading to increased efficiency and smoother customer journeys. Also by analyzing geographical sales data can help in better targeting of marketing and sales efforts. Understanding which regions or areas perform well or lag behind can guide resource allocation and strategy development.

3. Risk and Regularity Reporting (Capgemini)

-Need: While working with a banking domain organization, our responsibility involves analyzing various types of risks and assessing their severity levels.

-Skills Used: Tableau Desktop, SQL, Excel

-Outcome: We are engaged with a banking domain organization to identify, analyze, and monitor various types of risks such as credit, operational, and market risks. Using Tableau, we build interactive dashboards that visualize risk exposure, severity levels, and mitigation progress. Key KPIs like Risk Severity Index, High-Risk Counts, and Time to Resolution help prioritize critical threats. This data-driven approach enhances decision-making and supports compliance with regulatory requirements. It also enables stakeholders to act quickly on emerging risks and improve overall risk governance.

1. SQL-MYSQL for Data Analytics and Business Intelligence

2. Tableau 2020 A-Z : Hands-on Tableau training for Data science