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Data Analyst with less than a year in SQL, Power BI, and Excel
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Entry-level Data Analyst with hands-on experience in SQL, Power BI, Excel specializing in translating raw data into actionable KPIs and dashboards for churn, retail sales, and supply chain use cases. Adept at business metrics design, performance tracking, and insight-driven decision support with a growing focus on customer and retail analytics.
SKSVMA College of Engineering and Technology
Bachelor of Engineering · Information Science
August 1, 2020 – June 30, 2024
J.T. PU College
Higher Secondary
June 1, 2018 – May 31, 2020
Loyola High School
Secondary School
June 1, 2016 – May 31, 2018
Retail Sales & Customer Analysis
June 1, 2026 – June 1, 2026
Analyzed sales and profit across regions, identifying top regions contributing ~60% of total sales and flagging underperforming zones. Identified top-10 products driving ~45% of revenue and uncovered seasonal trends — insights used to inform inventory and promotions planning.
Supply Chain Analysis
June 1, 2026 – June 1, 2026
Analyzed inventory levels and SKU availability, identifying ~20% of SKUs with frequent stock-outs posing fulfillment risk. Built in-stock vs. out-of-stock KPI dashboards in Power BI to enable real-time inventory performance monitoring.
Customer Churn Analysis
June 1, 2026 – June 1, 2026
Analyzed customer churn by tenure and monthly charges, surfacing ~2× higher churn in early-tenure segments, enabling targeted retention interventions. Built an end-to-end Power BI dashboard with churn %, retention rate, and revenue-at-risk KPIs to support business decision-making.
Power BI - Skill Course
Unknown
June 1, 2026 – Present
SQL - Skill Course
Unknown
June 1, 2026 – Present
Excel - Skill Course
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to learning and applying data analysis skills to diverse business scenarios (retail, supply chain, customer churn). This indicates a willingness to tackle varied challenges and a problem-solving mindset. The focus on practical application and delivering tangible results (KPIs, dashboards) aligns with a results-oriented culture. However, the lack of professional experience or team-based projects makes it difficult to fully assess collaboration and adaptability in a professional setting.
Soft Skills & Operational Fit
The candidate highlights soft skills such as Data Storytelling, Attention to Detail, Problem-Solving, and Effective Communication & Team Collaboration. These are crucial for a Data Analyst role, indicating an understanding of the need to communicate technical insights to non-technical stakeholders and ensure data accuracy. The project descriptions reflect an operational fit by focusing on business problems and delivering actionable insights and monitoring tools.