
Data Analyst with less than a year in AI & Data Science and practical project experience.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented AI & Data Science graduate (CGPA: 8.48) with proven experience in data quality, annotation, and structured data processing. Skilled in Python, SQL, and Tableau for extracting insights and visualizing trends. Built end-to-end projects involving data classification and database management. AWS Cloud Foundations certified. Seeking a Data Analyst role to contribute to data-driven decision-making and business intelligence.
Sri Krishna College of Engineering and Technology
B.Tech · Artificial Intelligence & Data Science
August 1, 2021 – June 30, 2025
Sales & Product Insights Dashboard
June 1, 2026 – Present
Designed a data pipeline to clean, transform, and analyze product-level sales data, uncovering trends across categories and time periods. Built interactive Tableau dashboards with KPI cards, bar/line charts, and filters enabling business stakeholders to drill into performance metrics. Applied SQL queries to aggregate data and identify top-performing categories and seasonal patterns.
Dish Classification & Data Analysis
June 1, 2026 – Present
Processed and analyzed a multi-class food image dataset; performed EDA to understand class distribution, missing data, and feature patterns. Built an image classification model (DenseNet201) achieving high accuracy; evaluated using precision, recall, F1-score, and confusion matrix visualizations. Presented results with confidence score outputs and similar-recipe recommendations, simulating a real-world data product.
Contact & Database Management App
June 1, 2026 – Present
Designed a normalized relational database schema for contact records with efficient indexing and CRUD operations. Implemented SQL queries with data validation to ensure consistency, integrity, and fast data retrieval.
AWS Cloud Foundations
Amazon Web Services
June 1, 2026 – Present
Java Programming
Infosys Springboard
June 1, 2026 – Present
AI Primer
Infosys Springboard
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to learning and applying diverse data analysis techniques, from traditional database management to modern AI/ML applications. The projects align well with a data-driven culture. The AWS Cloud Foundations certification also shows an interest in cloud technologies, which is beneficial for modern data roles. However, the lack of professional experience means cultural fit is primarily inferred from academic engagement and project diversity.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a detail-oriented approach and an ability to present findings, which are positive indicators for operational fit. However, without specific psychometric or English test scores, it's difficult to fully assess communication clarity, logical reasoning, work attitude, stress handling, and team collaboration.