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Data Analyst with less than a year in SQL & Power BI
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Analytical and detail-oriented B.Tech graduate in Artificial Intelligence and Data Science with hands-on experience in collecting, analyzing, and interpreting complex datasets. Proficient in Excel, SQL, and data visualization tools (Power BI, Python) for creating insightful reports and dashboards. Skilled in identifying trends, patterns, and growth opportunities to support data-driven decision-making and business performance improvement. Strong communication and presentation skills with a proven ability to collaborate with cross-functional teams. Committed to ensuring data accuracy, quality, and integrity across systems. Passionate about turning raw data into meaningful, actionable insights.
K. Ramakrishnan College of Technology
Bachelor of Technology · Artificial Intelligence and Data Science
August 1, 2022 – June 30, 2026
Sacred Heart Higher Secondary School
Higher Secondary Certificate
N/A – May 31, 2022
Infant Jesus Matriculation School
Secondary School Leaving Certificate
N/A – May 31, 2020
Besant Technologies
Data Analyst Intern
November 1, 2025 – December 31, 2025
India
Worisgo
Risk Analyst Intern
May 1, 2025 – August 31, 2025
India
E-Commerce Sales Analysis
June 1, 2026 – Present
• Collected and analyzed e-commerce sales data from multiple sources, cleaning and transforming raw data using Python and SQL to prepare it for in-depth analysis. • Created comprehensive reports and interactive dashboards in Power BI and Excel, visualizing revenue trends, customer segments, and product performance to drive business insights. • Identified key trends, patterns, and growth opportunities across regions and product categories, providing data-driven recommendations that simulated a 15% potential revenue uplift. • Presented analytical findings and strategic recommendations in a clear, structured format to a mock leadership team, demonstrating strong communication and data storytelling abilities. • Ensured data accuracy and consistency throughout the project by implementing validation checks and documenting the entire analysis methodology for reproducibility.
View ProjectCustomer Churn Prediction System
June 1, 2026 – Present
• Analyzed large customer datasets to identify churn patterns and contributing factors, using Python and SQL to extract meaningful insights and support business retention strategies. • Built predictive models to forecast customer attrition and created visual dashboards to present churn risk scores and key business metrics to stakeholders. • Translated complex analytical findings into simple, actionable business recommendations that could directly impact customer retention and revenue growth. • Collaborated with peers to validate findings and refine the analysis approach, demonstrating teamwork and the ability to incorporate feedback for improved outcomes.
View ProjectHospital Management Analytics Platform
June 1, 2026 – Present
• Designed and developed a centralized analytics platform by collecting and integrating data from multiple hospital departments, ensuring data quality and consistency across all sources. • Built interactive Power BI dashboards to monitor operational KPIs such as patient flow, revenue, and department performance, providing hospital management with real-time business insights. • Analyzed complex healthcare datasets to identify inefficiencies and growth opportunities, delivering data-driven recommendations to improve operational performance. • Collaborated with a simulated stakeholder team to gather requirements, present findings, and iterate on dashboard designs based on feedback, reflecting real-world business analysis workflows.
View ProjectAWS Certified Cloud Practitioner
AWS
June 1, 2026 – Present
Snowflake with PL/SQL & Power BI
GUVI HCL
June 1, 2026 – Present
Generative AI Certification
Simplilearn
June 1, 2026 – Present
Microsoft Copilot Foundation
Simplilearn
June 1, 2026 – Present
Getting Started with Competitive Programming (Analytical & Problem-Solving Skills)
NPTEL
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects (E-Commerce, Customer Churn, Hospital Management) showcase a diverse application of data analysis skills across different domains, indicating adaptability. The internships further broaden their exposure to business and risk analysis. While the target role is Data Analyst, the candidate's background in Artificial Intelligence and Data Science, coupled with certifications in AWS, Snowflake, and Generative AI, suggests a proactive learning mindset and an interest in emerging technologies. This breadth of interest and continuous learning aligns well with a culture of innovation and growth, though the experience level is still nascent.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills, attention to detail, and good communication and presentation abilities. Their project work highlights collaboration with peers and simulated stakeholders, indicating a capacity for teamwork and incorporating feedback. The internships further reinforce their ability to work in a professional setting, meet deadlines, and ensure data quality. These traits suggest a good operational fit for roles requiring meticulous data handling and stakeholder interaction.