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Data Analyst with less than a year in data scraping, sentiment analysis, and customer segmentation
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Engineering undergraduate skilled in SQL, Excel, and Python with hands-on experience in data scraping, data cleaning, and analytics. Worked on customer segmentation and sentiment analysis to deliver business insights. Seeking opportunities to contribute to data-driven decision making in an entry-level analytics role.
Bakhshi Springdales School, Kota
Class X
N/A – Present
Bakhshi Springdales School, Kota
Class XII
N/A – Present
National Institute of Advanced Manufacturing Technology (NIAMT), Ranchi
B.Tech · Computer Engineering
N/A – June 30, 2026
CIT - PEELS Pvt. Ltd.
Data Analyst
June 1, 2025 – July 31, 2025
India
Customer Churn Prediction & Retention Dashboard
June 28, 2026 – Present
Developed an end-to-end Customer Churn Prediction solution using Logistic Regression, achieving ROC-AUC 0.82 and accuracy 0.79. Performed data cleaning, EDA, and feature preprocessing on 7K+ customer records, preparing key predictors (Gender, Tenure, MonthlyCharges) for churn classification. Analyzed churn trends across Gender, Tenure, and MonthlyCharges using EDA and visual analytics. Deployed the final model as a Streamlit web application, enabling real-time churn prediction with probability-based customer risk assessment.
Food Delivery Business Insights
June 28, 2026 – Present
Designed a relational database schema for food delivery analytics across customers, restaurants, and orders. Built KPI insights using SQL (JOINs, CTEs, GROUP BY, aggregations) to analyze revenue trends and customer behavior. Identified top restaurants, peak ordering periods, and repeat-customer patterns to support business decisions.
Cultural Fit Analysis
The candidate's projects show a good breadth of skills relevant to a Data Analyst role, including predictive modeling, business intelligence, and data engineering fundamentals. The personal projects align well with typical data analyst responsibilities, indicating genuine interest and initiative. The internship experience further solidifies this alignment. However, the candidate is still an undergraduate, which might impact immediate cultural integration into a senior role without further development.
Soft Skills & Operational Fit
The candidate's projects and internship demonstrate problem-solving skills and analytical thinking. The ability to work on end-to-end solutions from data collection to deployment suggests a proactive and results-oriented approach. However, without psychometric test results, a comprehensive assessment of work attitude, stress handling, and team collaboration is not possible.