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Data Analyst with 1+ years in SQL, Python, Power BI, and ETL within the automotive domain
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven Data Analyst with 2 years of experience in SQL, Python, and Power BI within the automotive domain. Proven ability to build ETL pipelines, interactive dashboards, and data models that transform raw data into actionable business intelligence. Skilled in DAX, data modeling, KPI development, and stakeholder collaboration. Delivered measurable impact: 50% reduction in manual reporting effort, 30% improvement in issue resolution efficiency, and 60% boost in regression testing efficiency.
Acropolis Institute of Technology and Research
Bachelor of Technology · Electronics and Communication Engineering
August 1, 2018 – June 30, 2022
Wipro Limited
Data Analyst
September 1, 2024 – Present
Bengaluru, Karnataka, India
Music Store Case Study
August 1, 2024 – August 31, 2024
Cleaned and structured 40,000+ records using SQL (joins, filtering, aggregation) to prepare accurate, analysis-ready datasets for business reporting. Wrote optimized queries using GROUP BY, ORDER BY, subqueries, and window functions to surface top customers, top-grossing artists, high-revenue cities, and popular genres. Delivered summarized reports and actionable insights to support targeted marketing campaigns, promotional planning, and event management strategies.
Cultural Fit Analysis
The candidate's experience in a consulting environment (Wipro) and collaboration with cross-functional teams suggests adaptability and a client-focused mindset. The diversity of projects, from academic case studies to real-world automotive data analysis, indicates a broad interest in applying data skills to different domains. The focus on measurable impact aligns with a results-oriented culture.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through Root Cause Analysis and process automation. Their experience in collaborating with cross-functional stakeholders indicates good teamwork and communication for operational fit. The project descriptions suggest an ability to translate business requirements into technical solutions.