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Data Science with less than a year in Python, SQL, and Machine Learning
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 and impact-driven analytics professional skilled in Python, SQL, and data storytelling, backed by a strong quantitative background. Proven ability to combine structured execution, communication, and analytical thinking through internship and leadership experience in real-world team environments.
Great Lakes Institute of Management, Gurgaon
PGP in Data Science (GenAI) · Data Science (GenAI)
August 1, 2025 – June 30, 2026
University of Delhi
Bachelor of Commerce (B.Com) · Commerce
August 1, 2021 – June 30, 2024
DAV Public School,Gurgaon
CBSE · Commerce + Mathematics
June 1, 2021 – May 31, 2021
HELP International – Country Clustering for Strategic Aid Allocation
June 1, 2026 – Present
Analyzed socio-economic and health indicators to support strategic allocation of a $10M aid fund by identifying high-need countries. Performed preprocessing including missing value handling, feature scaling, and preparation for clustering workflows. Conducted EDA to identify disparities across income, life expectancy, health expenditure, and child mortality. Applied K-Means clustering to segment countries by development and urgency; deployed an interactive dashboard for decision support. Live Demo: Streamlit App
View ProjectFashion-MNIST Image Classification
June 1, 2026 – Present
Built and trained a Dense Neural Network (ANN) to classify Fashion-MNIST images across 10 classes (28×28 grayscale). Implemented preprocessing pipeline: image upload → grayscale conversion → resizing to 28×28 → normalization → flattening for model input. Developed and deployed a Streamlit app displaying predicted label, confidence score, Top-3 predictions, and probability distribution visualization. Added a random sample demo option to enhance usability and demonstrate model performance during testing. – Live Demo: Streamlit App
Hotel Booking Cancellation Prediction
January 1, 2025 – Present
Built an end-to-end ML pipeline to predict hotel booking cancellations using lead time, deposit type, ADR, customer type, and stay duration. Performed preprocessing including missing value treatment, outlier handling, categorical encoding, and scaling using PowerTransformer. Conducted EDA to identify seasonality patterns, booking behavior trends, and key cancellation drivers. Trained and compared Logistic Regression, Decision Tree, Random Forest, and XGBoost; achieved 85% accuracy (Precision: 83%, Recall: 81%, F1: 82%). Live Demo: Streamlit App
Tally Certification
NSDC (National Skill Development Corporation)
June 1, 2026 – Present
SEBI Investor Certification
NISM (National Institute of Securities Markets)
June 1, 2026 – Present
Excel Mastery
CA Monk
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a breadth of interest within data science, covering classification, clustering, and deep learning. The 'HELP International' project shows an interest in social impact, which can be a positive indicator for cultural fit in mission-driven organizations. The target role of 'Data Science' aligns well with the skills and projects presented. However, the lack of professional experience means cultural fit is largely inferred from academic work and stated proficiencies.
Soft Skills & Operational Fit
The candidate's project descriptions highlight a detail-oriented and impact-driven approach. The mention of deploying interactive dashboards and live demos suggests a focus on practical application and user experience. The resume also states 'proven ability to combine structured execution, communication, and analytical thinking through internship and leadership experience in real-world team environments,' indicating potential for good team collaboration and communication, though no specific examples are provided.