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Data Analyst with 1+ years in SQL, Power BI, and Excel for data-driven insights.
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Assessing your cultural and operational fit
Highly motivated Data Analyst with 1.3 years of experience in electrical infrastructure projects. Proficient in SQL, Power BI, and Excel for data analysis, dashboarding, and report generation. Skilled in database design, complex query writing, and visualizing key performance indicators to track project performance and identify risks. Experienced in leveraging Python, CNN, and KNN for academic projects in image retrieval.
Sree Vidyanikethan Engineering College
B.Tech · Computer Science and Systems Engineering
August 1, 2020 – June 30, 2024
LNC Pvt Ltd
Data Analyst – Electrical Department
February 1, 2025 – Present
Hyderābād, Telangana, India
Electrical Department SQL Analytics Project
February 1, 2025 – Present
Designed a normalized relational database to track materials, labor, vendors, and project milestones. Executed complex SQL queries using JOINs, nested subqueries, GROUP BY, HAVING, and CASE statements. Generated performance reports including cost summaries, vendor delivery delays, and material utilization patterns. Implemented stored procedures to automate recurring project reports.
Electrical Project Dashboarding
February 1, 2025 – Present
Built an interactive Power BI dashboard consolidating project timelines, budgets, vendor performance, and resource status. Connected Power BI to SQL Server and Excel to enable dynamic data refresh. Applied DAX functions to model data and create KPIs for overall project health. Enabled stakeholders to filter dashboards by region, contractor, and project stage.
Academic Project – Content-Based Image Retrieval
January 1, 2020 – January 1, 2024
Built a content-based image retrieval system using convolutional neural networks for feature extraction. Applied the K-nearest neighbors (KNN) algorithm to retrieve visually similar images. Conducted experiments on image datasets to improve retrieval accuracy.
Data Analytics with AI
Skill Nation
June 1, 2026 – Present
Microsoft Azure Fundamentals
Microsoft
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience is primarily in data analysis within the electrical department, showing a focused career path. The academic project demonstrates an interest in broader data science applications (image retrieval), indicating intellectual curiosity. The certifications in 'Data Analytics with AI' and 'Microsoft Azure Fundamentals' suggest a proactive approach to learning and staying current with industry trends. The projects align well with a Data Analyst role, demonstrating a practical, results-oriented approach.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on structured projects, deliver reports, and automate tasks, suggesting good operational fit. The focus on generating performance reports and identifying risks implies an analytical and problem-solving mindset. However, without specific psychometric or English test scores, it's difficult to assess communication clarity, logical reasoning, stress handling, or team collaboration directly.