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Data Analyst with less than a year in SQL, Python & Power BI
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Assessing your cultural and operational fit
Data Analyst with 6 months of internship experience and hands-on expertise in SQL, Python, Power BI, and Excel. Experienced in analyzing telecom and healthcare datasets, developing interactive dashboards, performing data cleaning, exploratory data analysis, and KPI reporting to support business decision-making. Built multiple end-to-end analytics projects involving customer churn analysis, healthcare analytics, and data visualization. Leveraging a Mechanical Engineering background with strong analytical thinking, problem-solving skills, and a passion for transforming data into actionable insights.
Vemu Institute of Technology (JNTUA)
Bachelor of Technology · Mechanical Engineering
N/A – June 30, 2025
QUBINEX
Data Analyst Intern
January 1, 2025 – June 1, 2025
Chennai, Tamil Nadu, India
Customer Churn & Retention Analysis
June 23, 2026 – Present
Analyzed 7,000+ telecom customer records to quantify churn drivers and revenue exposure across customer segments. Engineered features and cleaned raw data using Python; built advanced SQL queries using CTEs and Window Functions to calculate a 26.54% churn rate and 139K+ in at-risk revenue. Identified high-risk segments including month-to-month contracts and customer tenures under 12 months. Delivered an interactive Power BI dashboard to visualize retention KPIs and support data-driven decision-making. Performed cohort analysis to track customer retention trends over time, enabling targeted intervention strategies for high-churn segments.
View ProjectHealthcare Analytics Dashboard
June 23, 2026 – Present
Developed multi-view Power BI dashboards analyzing patient admissions, physician performance, and department-level operational efficiency. Modeled healthcare datasets using Power Query and DAX to create interactive drill-down reporting visuals. Designed calculated measures and KPIs using DAX to support operational decision-making. Conducted trend analysis on patient admission data to identify seasonal patterns and peak load periods, supporting resource planning decisions.
View ProjectData Analytics
HP Life
June 1, 2026 – Present
Data Analytics Job Simulation
Deloitte Australia
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity (telecom churn, healthcare analytics) shows adaptability and a broad interest in applying data analysis across different domains. The inclusion of personal projects and an internship, despite being a recent graduate, indicates initiative and a proactive learning attitude. However, the limited professional experience and academic background in Mechanical Engineering (rather than a direct data-related field) suggest a need for further development in a dedicated data-centric environment to fully align with a senior Data Analyst role.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking and problem-solving skills, as evidenced by their project descriptions. Their experience in collaborating with cross-functional teams for requirement gathering indicates good teamwork potential. The ability to deliver data-driven insights for business decision-making aligns well with operational needs.