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Data Analyst with less than a year in Data Analysis & Business Intelligence
Data Analytics and Business Intelligence enthusiast pursuing a B.Tech in Artificial Intelligence with hands-on experience in data analysis, SQL, Python, Excel, Power BI, Zapier, Looker studio dashboard development, reporting automation, and business performance tracking. Experienced in transforming complex datasets into actionable insights through exploratory data analysis, KPI monitoring, data visualization, and market research. Skilled in stakeholder collaboration, business requirement gathering, competitive analysis, data-driven decision making, database concepts, schema design, and analytical problem-solving. Passionate about leveraging analytics to drive business growth, optimize performance, and support strategic initiatives in technology driven organizations.
Amrita Vishwa Vidyapeetham
B.Tech · Computer Science & AI
August 1, 2023 – June 30, 2027
Mary Mount Public School
Higher Secondary School
June 1, 2021 – May 31, 2023
Elevate Labs
Data Analytics Intern
August 1, 2025 – September 1, 2025
India
Sales Performance Analysis & Business Intelligence Dashboard
June 1, 2023 – June 1, 2026
Analyzed 9,994 retail transactions and 1,862 products using SQL and Python to uncover revenue, profit, customer behavior, and sales performance trends. Developed interactive Power BI dashboards for KPI tracking, business performance monitoring, and executive reporting. Generated actionable insights from business data, identifying revenue opportunities worth $11.08M and profit trends exceeding $1.04M. Performed data cleaning, transformation, aggregation, and reporting to support strategic business decisions.
View ProjectFinancial Risk Analytics & Delinquency Assessment
June 1, 2023 – June 1, 2026
Performed exploratory data analysis on financial datasets to identify key delinquency risk indicators and behavioral patterns. Evaluated dataset completeness, quality, and consistency through data validation and reporting techniques. Conducted trend analysis and business reporting to support risk assessment and decision making processes. Generated analytical reports highlighting relationships between customer financial attributes and delinquency outcomes. Applied business intelligence methodologies to transform raw data into actionable business insights.
AI Job Market Intelligence Tracker
June 1, 2023 – June 1, 2026
Designed and implemented an automated data collection and analytics pipeline for monitoring AI job market trends. Conducted market research and competitive analysis across multiple hiring platforms to identify emerging industry demands. Delivered data-driven insights supporting workforce trend analysis and strategic decision making. Automated data extraction, transformation, and reporting workflows, improving efficiency and reducing manual effort.
Heart Disease Prediction using Machine Learning
June 1, 2023 – June 1, 2026
Built predictive analytics models using Logistic Regression, Random Forest, Decision Tree, SVM, and XGBoost algorithms. Performed feature analysis, data preprocessing, model evaluation, and performance optimization. Achieved model accuracy exceeding 91% using advanced machine learning techniques. Created ROC-AUC curves and visualizations to communicate findings and model performance metrics.
Cultural Fit Analysis
The candidate's projects show a diverse application of data analytics across sales, HR (AI job market), finance (risk analytics), and healthcare (heart disease prediction). This breadth indicates adaptability and a willingness to tackle varied challenges, which can contribute positively to cultural fit in a dynamic environment. The focus on generating actionable insights and supporting strategic decisions aligns with a results-oriented culture. The remote internship experience also suggests self-reliance and effective communication in distributed settings.
Soft Skills & Operational Fit
The candidate demonstrates an ability to collaborate with stakeholders, gather business requirements, and make data-driven decisions, which are crucial for operational fit. The project descriptions suggest a proactive approach to problem-solving and an understanding of business impact. However, without direct interview data, a deeper assessment of soft skills like teamwork, conflict resolution, and adaptability is limited.