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Data Analyst with less than a year in Data Analysis & Business Intelligence
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 Science postgraduate with strong analytical and problem-solving skills, experienced in data cleaning, visualization, and dashboard development using Python, SQL, Excel, and Power BI. Skilled in analyzing datasets, identifying trends, and supporting data-driven decision-making through projects and internships in data analysis and business intelligence. Seeking opportunities in Data Analytics, Data Operations, and Business Reporting roles.
St. Joseph's College
Master of Science · Data Science
August 1, 2024 – June 30, 2026
Holy Cross College
Bachelor of Science · Mathematics
August 1, 2021 – June 30, 2024
ICMR – National Institute of Epidemiology
Data Analyst Intern
December 1, 2025 – March 1, 2026
India
Kyyba IT (P) Itd
Software Engineer Intern
May 1, 2025 – June 1, 2025
India
Anemia Risk Prediction using Machine Learning
June 1, 2026 – Present
• Developed a Logistic Regression classification model to predict anemia status, enabling early detection of at-risk individuals. • Performed data preprocessing and EDA with visualizations to identify key factors influencing anemia outcomes.
Student's Health and Nutrition Analysis
June 1, 2026 – Present
• Collected data on nutrition metrics from students using Google Forms and Excel for analysis. • Performed data cleaning and preprocessing using Excel Power Query and Power BI. • Designed dashboards to visualize health metrics such as meal frequency, hydration and junk food consumption and also analyzed actionable insights on dietary habits, physical activity and fast-food intake.
Shopify Customer and Sales Analysis
June 1, 2026 – Present
• Developed a Shopify sales dashboard in Power BI to analyze top products, profitability, and customer trends. • Utilized Power Query Editor for data cleaning and DAX for dynamic measures and parameter based filtering. • Generated insights on customer purchasing behavior, profitability and sales performance using KPI-based dashboards.
Crop Yield Prediction using Machine Learning
June 1, 2026 – Present
• Developed a crop yield prediction model using the Decision Tree algorithm for agricultural analysis. • Deployed the trained model as a Flask web application for crop yield prediction.
Python for Data Science
IBM
June 1, 2026 – Present
Workshop on Power BI in Bosco Soft Technologies Pvt. Ltd
Bosco Soft Technologies Pvt. Ltd
June 1, 2026 – Present
Data Analytics and Visualization with Power BI
Microsoft
June 1, 2026 – Present
Deloitte Australia Data Analytics Job Simulation
Forage
June 1, 2026 – Present
TCS Ion Career Edge-Young Professional course
TCS Ion
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from sales analysis to health and nutrition, and crop yield prediction, indicates a broad interest in applying data science across various domains. Their academic background in Data Science and Mathematics, coupled with multiple certifications, shows a commitment to continuous learning and skill development. The internships, though short, demonstrate an eagerness to gain practical experience. This suggests a good cultural fit for an organization that values continuous learning, problem-solving, and diverse application of data skills.
Soft Skills & Operational Fit
The candidate's profile highlights analytical thinking, problem-solving, and team collaboration as soft skills. Their project and internship experience demonstrates an ability to work on diverse data analysis tasks, suggesting a good operational fit for roles requiring data manipulation, visualization, and basic machine learning application. However, the lack of specific examples or detailed descriptions of how these soft skills were applied in team settings or challenging scenarios makes a deeper assessment difficult.