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Archana Biradar

Archana Biradar

Data Analyst

Talent
HyderabadMember since July 28, 2026
TableauData VisualizationStatistical AnalysisSql DeveloperPython ProgrammingExcel
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TableauData VisualizationStatistical AnalysisSql DeveloperPython Programming

About

Detail-oriented Data Analyst and SQL Developer with a strong background in data manipulation, analysis, and visualization. Proficient in SQL, Python, and data visualization tools, I excel at transforming complex data into actionable insights. My analytical mindset and problem-solving skills enable me to drive data-driven decision-making. Eager to contribute to a dynamic team and leverage my expertise to enhance business performance and support strategic initiatives.

Experience

Data Analyst at Wipro Limited (2023-01 – 2026-05)

Heart Disease Analysis using Python & Tableau

  • Cleaned and analyzed healthcare data using Python (Pandas and NumPy).
  • Performed Exploratory Data Analysis (EDA) to identify factors associated with heart disease.
  • Created interactive Tableau dashboards to visualize patient demographics, risk factors, and disease patterns.
  • Used statistical analysis and visualizations to communicate key business insights.
  • Tools: Python, Pandas, NumPy, Matplotlib, Tableau.

Data Analyst at Genpact (2020-12 – 2022-01)

Sales Comparison Dashboard | Tableau | Sample Superstore Dataset

  • Designed and developed an interactive Tableau dashboard to compare sales performance across two user-selected regions using the Sample Superstore dataset.
  • Created dynamic visualizations, including KPI cards, bar charts, line charts, scatter plots, and stacked bar charts to analyze sales, profit, and regional performance.
  • Implemented parameters, calculated fields, and interactive filters to enable real-time comparison between selected regions.
  • Analyzed sales trends by category, sub-category, customer segment, and time to identify high-performing products and regional growth opportunities.
  • Developed key performance indicators (KPIs) to measure total sales, sales differences, and percentage variance between regions.
  • Improved dashboard usability through interactive drill-downs, filter actions, and a clean, business-focused layout for effective decision-making.
  • Applied data visualization best practices to transform raw sales data into actionable business insights for stakeholders.
  • Utilized Tableau features including calculated fields, parameters, dashboard actions, sorting, formatting, and interactive filters to create a dynamic analytical solution.

SQL Developer at [24]7.ai (2016-12 – 2018-04)

Air Cargo Analysis using SQL

  • Wrote SQL queries using Joins, Aggregate Functions, GROUP BY, HAVING, Subqueries, and Window Functions.
  • Analyzed cargo movement and customer data to generate operational insights.
  • Built reports to answer business questions related to shipments, customers, and revenue.
  • Tools: SQL.

Education

B. Tech in Electronics & Communication – Aurobindo College of Engineering and Technology (2012-01 – 2016-01)

Skills

Data Analyst

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