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Data Analyst with less than a year in Python & SQL
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 Analyst and AI/ML enthusiast with strong expertise in Python, SQL, machine learning, and data analytics. Experienced in building real - world forecasting, predictive analytics, and AI-driven solutions using business datasets. Skilled in exploratory data analysis, statistical modeling, and data visualization to generate actionable insights and solve complex business problems. Focused on developing scalable, data-driven systems with practical industry applications.
Poddar International College
Bachelor of Computer Application (BCA)
August 1, 2023 – June 30, 2026
Zucol Services Pvt Ltd
DATA ANALYST INTERN
October 1, 2025 – February 1, 2026
India
TEN INDIA
DJANGO DEVELOPER INTERN
June 1, 2025 – August 1, 2025
India
Walmart Sales Forecasting & Inventory Risk Intelligence System
June 1, 2026 – Present
Built an end-to-end retail demand forecasting system on Walmart's 241K+ sales dataset across 25 stores and 80 departments. Performed advanced EDA to identify seasonal trends, holiday sales spikes, and high-revenue stores. Compared ARIMA and Facebook Prophet models for 12-week sales forecasting using RMSE and MAE evaluation metrics. Implemented stockout risk detection using sales volatility analysis to identify high-risk departments before peak seasons. Generated forecasting insights and business visualizations using Matplotlib and analytical reporting techniques.
Customer Churn Prediction System
June 1, 2026 – Present
Built an end-to-end ML pipeline to predict customer churn on a dataset of 10,000+ records, achieving 87% accuracy and 0.83 AUC-ROC. Conducted EDA and feature engineering on 20+ variables; handled class imbalance using SMOTE, improving minority class recall by 18%. Trained and evaluated Logistic Regression and Random Forest; Random Forest outperformed with 87% accuracy and reduced false negatives by 22%. Interpreted model outputs to identify top 5 churn drivers, enabling targeted retention strategies.
AI PDF Analyzer using RAG & Groq API
June 1, 2026 – Present
Developed an AI-powered PDF question-answering system using Retrieval-Augmented Generation (RAG). Extracted and chunked PDF text, generated embeddings, and stored vectors using FAISS. Integrated Groq LLM API for fast contextual response generation. Enabled users to upload PDFs and ask natural language questions with accurate document-based answers. Built an interactive UI for real-time document analysis and querying.
Power BI
Unknown
June 1, 2026 – Present
Data Analytics
Unknown
June 1, 2026 – Present
Python
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from customer churn prediction to sales forecasting and AI PDF analysis, indicates a broad interest in applying data science across different domains. Their participation in Smart India Hackathon suggests a collaborative and competitive spirit. The internship experience aligns well with the target role of Data Analyst, showing practical application of skills in a business environment. The certifications in Data Analytics, Python, and Power BI further demonstrate a commitment to continuous learning and skill development, which are positive indicators for cultural fit in a growth-oriented team.
Soft Skills & Operational Fit
The candidate demonstrates a proactive approach to learning and applying data analytics skills through diverse personal projects and an internship. Their ability to translate complex data into actionable insights and present to stakeholders indicates good communication potential. The focus on automating workflows and reducing errors suggests an attention to detail and efficiency. However, without specific assessment data on soft skills, a comprehensive evaluation of logical reasoning, work attitude, stress handling, and team collaboration is not possible.