Data Analyst with 1+ years in data analysis, SQL, and Power BI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst with 1+ year of experience in data analysis, SQL querying, Power BI dashboard development and Excel reporting. Proven ability to clean and transform large-scale datasets, build KPI dashboards and deliver actionable business insights. Background in security operations strengthens expertise in data accuracy, anomaly detection and operational metrics monitoring.
Graphic Era Hill University
Master of Computer Application · Computer Application
August 1, 2021 – June 30, 2023
Kumaun University
Bachelor of Science
August 1, 2018 – June 30, 2021
Coforge Ltd
Network Operator cum Field Engineer
July 1, 2024 – September 1, 2025
Noida, Uttar Pradesh, India
Superstore Sales Dashboard
March 1, 2026 – April 1, 2026
Built a 3-page interactive sales dashboard using Kaggle Superstore dataset (9,800 rows) with star schema data model (6 tables, 5 relationships). Wrote 24 DAX measures including YTD, MoM growth, RANKX, running totals and dynamic conditional formatting. Implemented drill-down hierarchies across Date, Category and Location dimensions enabling three-level drill analysis. Applied User Experience (UX) design principles to develop intuitive navigation, including synced slicers and interactive KPI cards.
View ProjectCustomer Segmentation Analysis RFM Model
February 1, 2026 – March 1, 2026
Segmented 163 customers into 3 revenue tiers using SQL NTILE window functions, uncovering that Low Value customers drove 56% of total revenue Rs.38K). Identified revenue concentration patterns across 3 customer segments, directly informing targeted retention campaigns. Built an Excel dashboard with dynamic charts tracking Rs.68,371 in revenue, enabling stakeholders to self-serve segment insights.
Cultural Fit Analysis
The candidate's projects show initiative and a proactive approach to learning and applying data analysis techniques. The diversity of projects (sales, customer segmentation) indicates a broad interest in different business domains. The experience as a Network Operator, while not directly a Data Analyst role, shows a background in a technical, analytical environment. The candidate's self-driven project work suggests a good fit for a culture that values continuous learning and practical application of skills. However, the limited professional experience directly in a data analyst role might require some ramp-up time to fully integrate into a data-centric team culture.
Soft Skills & Operational Fit
The candidate demonstrates an ability to work with large datasets and identify patterns, which is crucial for a Data Analyst. The experience in a Network Operator role suggests an aptitude for meticulous data handling and problem-solving. The project descriptions indicate a focus on delivering actionable insights and improving efficiency, aligning with operational needs. However, the resume does not provide explicit examples of teamwork or communication in a collaborative setting, which are important soft skills.