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Senior Data Analysis with 8+ years in SQL, Tableau & Business Intelligence
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Assessing your cultural and operational fit
Results-driven Data Analyst with 8+ years of experience in application support, reporting, and data-driven decision making. Skilled in SQL querying, Excel dashboard development, Tableau visualizations, and business intelligence reporting. Proven ability to consolidate multi-team metrics, perform root cause analysis, and deliver actionable insights to leadership. Strong analytical and problem-solving skills focused on translating complex data into clear business recommendations.
CMR Institute of Technology
Bachelor of Engineering
August 1, 2012 – June 30, 2016
Microland Limited
Application Lead
December 1, 2023 – April 1, 2025
Bengaluru, Karnataka, India
Virtusa Consulting Services
Associate Consultant
May 1, 2021 – November 1, 2023
India
Tata Consultancy Services
System Engineer / Software Engineer
January 1, 2017 – April 1, 2021
India
Customer Churn Analysis
February 1, 2026 – Present
Performed exploratory data analysis using Python (Pandas, Matplotlib, Seaborn) on telecom customer churn data. Identified an overall churn rate of 26% and highlighted high-risk customer segments using statistical analysis and segmentation techniques. Analyzed revenue contribution and customer usage behavior to identify churn drivers. Segmented customers by tenure and contract type to identify retention opportunities and support targeted business strategies.
Swiggy Sales Data Analysis & KPI Modeling
January 1, 2026 – Present
Performed exploratory data analysis on more than 1,97,000 order records using SQL to identify ordering patterns and business trends. Designed a star schema dimensional model to support scalable KPI reporting and analytics Calculated core business metrics including revenue contribution, order volume, and category-level performance indicators. Conducted time-series analysis to identify monthly revenue trends and peak demand periods across regions.
Superstore Sales Data Cleaning & Dashboard Analysis
November 1, 2025 – Present
Cleaned and validated more than 13,000 sales records, resolving missing values and improving dataset accuracy for analysis. Standardized categorical fields and removed duplicate transactions to improve data reliability and consistency. Calculated key business KPIs including revenue, profit margin, and product performance metrics. Developed an interactive Excel dashboard to analyze regional sales trends and category performance, enabling faster reporting and improved decision-making.
Deloitte Australia Data Analytics Job Simulation on Forage
Deloitte Australia
April 10, 2026 – Present
Google Data Analytics Professional Certificate
Coursera
August 1, 2025 – Present
Cultural Fit Analysis
The candidate's project diversity, including sales data analysis, customer churn, and operational reporting, indicates a broad interest in data applications. The career progression from System Engineer to Application Lead, coupled with certifications, shows a commitment to continuous learning and adapting to new challenges. The experience in production support roles suggests resilience and a service-oriented mindset, which aligns well with collaborative team environments.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through root cause analysis and incident resolution. Experience in Agile environments and stakeholder collaboration indicates good team collaboration and communication. The focus on automating reporting and improving data accuracy suggests a proactive and detail-oriented approach to operational efficiency.