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Data Analyst with less than a year in Machine Learning and Python Fullstack development.
AI is analyzing your overall score…
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst pursuing a B.Tech in Artificial Intelligence & Data Science, with 4 months of diverse internship experience in Machine Learning and Python Fullstack development. Proficient in data cleaning, EDA, predictive modeling, and business intelligence, having worked with large datasets, developed ML classifiers, and created interactive dashboards. Eager to leverage strong analytical and technical skills to drive data-driven decision-making.
St. Xavier's Catholic College of Engineering
B.Tech · Artificial Intelligence & Data Science
August 1, 2022 – June 30, 2026
Trinity Technology
Machine Learning Intern
March 1, 2026 – Present
Nāgercoil, Tamil Nadu, India
HEXCENT Pvt Ltd
Python Fullstack Intern
July 1, 2024 – August 1, 2024
Cochin, Kerala, India
Sales Data Analysis
June 18, 2026 – Present
• Examined 5,000+ retail transactions, pinpointing the top 5 revenue-driving products and 3 seasonal demand spikes through exploratory analysis. • Processed raw datasets with 15% missing values – applied imputation and feature transformation before building a 4-chart Matplotlib summary dashboard. • Translated findings into inventory recommendations for 3 product categories, directly informing restocking strategy. • Presented a structured findings report to highlight 3 peak sales windows, equipping the team with evidence-based restocking guidance.
Student Performance Predictor
June 18, 2026 – Present
• Explored academic records of 1,000+ students in Python and Scikit-learn to uncover the key variables driving performance outcomes. • Trained Decision Tree and Logistic Regression classifiers reaching 82% accuracy, with attendance and submission rate emerging as the strongest predictors. • Assessed classifier output through accuracy, precision, and F1-score metrics; plotted confusion matrices to compare model behaviour side by side. • Applied cross-validation to both algorithms and selected the optimal model by F1-score, documenting trade-offs between interpretability and accuracy.
Sales Performance Dashboard
June 18, 2026 – Present
• Developed an interactive Power BI dashboard monitoring 8 KPIs — including sales, profit, and YoY growth — via DAX measures and dynamic slicers. • Automated data preparation through Power Query pipelines, cutting manual reporting effort by an estimated 40%. • Gave decision-makers self-service access to drill-down views by region, product, and period - supporting sales planning across 4 territories. • Structured the dashboard layout for clarity, allowing non-technical users to interpret all KPIs independently without training or documentation.
Cultural Fit Analysis
The candidate's involvement in multiple internships and personal projects, alongside academic studies, indicates a strong work ethic and initiative. Their focus on practical application of data analysis and machine learning aligns well with a results-oriented culture. The preparation for a Power BI certification shows a commitment to continuous improvement and professional development, which is a positive cultural indicator.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through their project work, particularly in identifying key variables and optimizing data processes. Their ability to present findings clearly and structure dashboards for non-technical users indicates good communication and user-centric design thinking. The internships and project diversity suggest adaptability and a willingness to learn new technologies.