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Data Analyst with less than a year in Power BI & SQL
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 and Engineering Graduate with hands-on experience in SQL, data modeling, ETL, and data cleaning. Proficient in Power BI, Tableau, and DAX measures to build interactive dashboards and KPI reports. Skilled at analyzing complex datasets, identifying trends, and delivering actionable business insights to support data-driven decision-making.
Malineni Lakshmaiah Women's Engineering College
B.Tech · Computer Science and Engineering (Data Science)
August 1, 2021 – June 30, 2025
Oxford VIT Junior College
Intermediate (MPC)
June 1, 2019 – May 31, 2021
Sri Chaitanya Techno School
SSC
June 1, 2018 – May 31, 2019
Cognifyz Technologies
POWER BI Intern
December 1, 2025 – January 31, 2026
India
Hospital Data Analysis - SQL Server
June 24, 2026 – Present
Analyzed Hospital records to understand patient trends and treatment costs. Wrote SQL queries using joins, CTEs, and window functions for data analysis. Identified high-cost treatments and top-performing doctors. Analyzed patient satisfaction and hospital stay duration to find improvement area
Insurance Business Intelligence Dashboard - Power BI
June 24, 2026 – Present
Performed data cleaning and transformation using Power Query Editor. Created a data model and developed DAX measures (Loss Ratio, Approval Rate, Lapse %, High-Risk %). Built an Insurance Analytics dashboard to monitor premium, claims, agent performance, and risk metrics. Identified 18.2% High-Risk Policies and 12.5% Policy Lapse Rate through exploratory data analysis (EDA) delivering actionable insights to improve customer retention strategy.
Data Analytics Job Simulation – Deloitte (Forage)
Deloitte (Forage)
March 1, 2026 – Present
Software Engineering and Agile Software Development - Infosys Springboard
Infosys Springboard
August 1, 2023 – Present
Cultural Fit Analysis
The candidate's academic projects and internship demonstrate a clear focus on data analysis, aligning well with a Data Analyst role. The certifications in Data Analytics and Software Engineering show a proactive approach to learning and skill development. The projects cover diverse domains like insurance and healthcare, indicating adaptability. However, the experience is primarily academic and internship-based, which might require more mentorship in a professional setting.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to identify business problems (e.g., high-risk policies, policy lapse rate) and translate data into actionable insights, suggesting good problem-solving and analytical thinking. The internship experience shows practical application of data analysis skills in a business context. However, without direct interview data, it's difficult to assess communication, teamwork, and stress handling beyond what's implied by project completion.