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Data Analyst with less than a year in SQL & 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 hands-on experience in SQL, Python, Excel, Power BI, Tableau, and statistical analysis. Skilled in data cleaning, data visualization, dashboard development, and exploratory data analysis to transform raw data into actionable business insights. Experienced in working on customer behavior analysis, telecom churn prediction, job market analysis, and profit analysis projects. Strong ability to analyze complex datasets, identify trends, and support data-driven decision-making through interactive reports and dashboards.
Nehru Institute of Engineering and Technology, Anna University
B. Tech · Artificial Intelligence and Data Science
February 1, 2021 – May 1, 2025
Rubixe
Data Analyst Consultant Intern
April 1, 2025 – September 1, 2025
Bengaluru, Karnataka, India
Telecom Churn Data Analysis & Prediction (ML)
September 1, 2025 – June 1, 2026
Built churn prediction model using ML techniques, improving classification accuracy by 32% for customer retention analysis. Developed CHURN FLAG (1/0) scoring system to identify high-risk customers for targeted campaigns. Designed Power BI dashboard to visualize churn drivers and support retention decisions.
View ProjectCustomer Data Analysis
September 1, 2025 – June 1, 2026
Cleaned, transformed, and analyzed customer purchase data from multiple shopping malls using SQL and Excel to identify customer behavior patterns. Evaluated key demographic factors including age, gender, spending score, and payment methods to uncover purchasing trends and customer segments. Developed an interactive Power BI dashboard with KPIs, filters, and visualizations to support data-driven business decisions and improve insight accessibility.
View ProjectProfit Analysis
September 1, 2025 – June 1, 2026
Applied regression analysis in Excel to forecast profit outcomes. Evaluated R&D, marketing, and admin costs against profitability. Built KPI-driven Tableau dashboard for financial performance tracking.
View ProjectCertified Data Analyst
NASSCOM
June 1, 2026 – Present
Data Analytics Process Automation (Virtual Internship)
Alteryx Sparked (AICTE)
June 1, 2026 – Present
Generative AI (Virtual Internship)
Google Cloud
June 1, 2026 – Present
Certified Data Analyst
IABAC
June 1, 2026 – Present
Artificial Intelligence and Machine Learning (Virtual Internship)
Google for Developers (AICTE)
June 1, 2026 – Present
Data Science Master Program (Virtual Internship)
Altair
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic background in AI and Data Science, coupled with various certifications and virtual internships, indicates a strong interest and commitment to the data analytics field. The diversity of academic projects (telecom churn, customer behavior, profit analysis) shows adaptability and a willingness to explore different business domains. This aligns well with a culture that values continuous learning and practical application of skills. However, the lack of real-world, long-term professional experience means their ability to integrate into a corporate culture and handle complex team dynamics is largely unproven.
Soft Skills & Operational Fit
The candidate demonstrates a proactive approach to learning through multiple virtual internships and certifications. Their project descriptions indicate an ability to work on diverse data analysis tasks, from churn prediction to customer behavior analysis. The focus on developing interactive dashboards suggests an understanding of presenting insights effectively. However, with limited professional experience, their operational fit in a fast-paced, senior-level environment requiring independent problem-solving and stakeholder management is yet to be fully validated.