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Data Analyst with less than a year in Data Analysis & Machine Learning
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring Data Analyst skilled in Python, SQL, Power BI, MS Excel, and Machine Learning. Experienced in data cleaning, ETL, exploratory data analysis (EDA), dashboard development, and predictive analytics on real-world datasets. Strong ability to transform raw data into actionable insights and support data-driven business decisions.
Sahyog College of IT & Management Studies
Bachelor of Computer Applications (BCA) · Computer Applications
January 1, 2023 – January 1, 2026
Unified Mentor Pvt. Ltd.
Data Analyst Intern
December 1, 2025 – March 1, 2026
India
Customer Churn Analysis & Prediction
January 1, 2026 – June 1, 2026
Built a churn prediction system using SQL, Python, and Scikit-Learn on 6,000+ telecom records. Performed ETL, EDA, churn analysis, and classification modeling with ~80% accuracy. Visualized churn trends and customer retention metrics through interactive dashboards.
View ProjectFinancial Fraud Detection System
January 1, 2025 – June 1, 2025
Developed a fraud detection system using Python, SQL, Scikit-Learn, and Power BI on 10K+ banking transactions. Performed EDA, feature engineering, and fraud classification with ~90% accuracy. Identified suspicious transaction patterns and high-risk activities through analytical dashboards.
View ProjectVendor Sales Performance Analysis
January 1, 2025 – June 1, 2025
Analyzed 5,000+ sales records using SQL and Python to evaluate vendor profitability and sales trends. Created KPI reports and visualizations to identify low-performing vendors and high-margin products. Supported business decision-making through dashboard reporting and data analysis.
View ProjectCultural Fit Analysis
The candidate's projects demonstrate a diverse application of data analysis skills across different domains (telecom, finance, sales), indicating adaptability. The focus on practical, real-world problems aligns well with a results-driven culture. However, the candidate is still pursuing a bachelor's degree and has limited professional experience (one internship), which might require more mentorship and integration into a senior team environment. The breadth of skills is good for an entry-level role, but for a senior position, deeper specialization would be expected.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to translate data into actionable insights and support business decision-making, suggesting a results-oriented approach. The internship experience further supports practical application of skills in a professional setting. However, without specific psychometric test results, a detailed assessment of soft skills like logical reasoning, work attitude, stress handling, and team collaboration cannot be made.