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Software Engineer with less than a year in Data Science, Machine Learning, and Python-based automati
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Software Engineer focused on Data Science, Machine Learning, and Python-based automation. Experienced in data analysis, cleaning, and visualization, and in building machine learning models for prediction and classification. Strong in extracting insights from real-world data using data pipelines, automation workflows, and maintainable code for data-driven problem solving.
Punjab University College of Information and Technology (PUCIT)
BS Computer Science · Computer Science
August 1, 2023 – Present
Aglivo
Python Intern
May 1, 2026 – Present
India
Superstore Sales Dashboard
June 1, 2025 – June 1, 2026
• Built a hypothesis-driven analytics dashboard to analyze sales, profit, and seasonal trends. • Applied data aggregation and time-based feature engineering using Pandas. • Delivered actionable business insights through visual storytelling.
Trello Web Bot
June 1, 2025 – June 1, 2026
• Automated Trello workflows using Python and Selenium, including login, navigation, and task creation. • Implemented JSON-based credential management and robust XPath/CSS selectors. • Built maintainable automation with structured error handling.
Mental Health Treatment Prediction
June 1, 2025 – June 1, 2026
• Built an end-to-end ML classification pipeline using real-world survey data. • Handled missing values, complex categorical encoding, and feature engineering. • Compared Logistic Regression, Random Forest, and SVM with comprehensive evaluation metrics. • Conducted EDA and visualizations to extract patterns and insights.
Intelligent Customer Churn Prediction System
June 1, 2025 – June 1, 2026
• Built a Neural Network-based churn prediction model with full preprocessing, encoding, and feature scaling. • Evaluated model using Accuracy, F1-score, ROC-AUC, and improved recall for high-risk churners. • Used SHAP to identify key features driving churn, enabling actionable business insights.
Cultural Fit Analysis
The candidate's projects are primarily academic and focused on data science and machine learning, which aligns with analytical roles. The internship experience at Aglivo shows exposure to a professional development environment. However, the breadth of experience outside of data science/ML and Python is limited, which might impact fit for broader software engineering roles requiring diverse tech stacks or domain knowledge. The candidate is currently pursuing a BS degree, indicating a junior-level profile.
Soft Skills & Operational Fit
The candidate demonstrates a structured approach to problem-solving through project descriptions, emphasizing maintainable code, error handling, and comprehensive evaluation. Collaboration in a production environment using Git suggests good team integration potential. The focus on data-driven insights aligns with an analytical and results-oriented mindset.