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Data Analyst with less than a year in SQL, Python, Power BI, and data visualization.
Fresher Data Analyst with strong foundational skills in data analytics, SQL, Python, Power BI, and data visualization. Proficient in cleaning, analyzing, and interpreting datasets to generate meaningful insights. Hands-on experience through academic and personal projects involving dashboards, EDA, and basic machine learning concepts. Eager to apply analytical and problem-solving skills in a professional environment and contribute to data-driven decision-making. Strong willingness to learn, adapt, and grow in the field of data analytics and business intelligence.
MAEER's MIT Arts, Commerce & Science College
Master of Science · Computer Science
August 1, 2025 – June 30, 2027
Sangamner Nagarpalika Arts, D.J. Malpani Commerce & B.N. Sarda Science College
Bachelor of Science · Computer Science
N/A – June 30, 2025
Pricing Strategy Analysis
January 1, 2025 – December 31, 2025
Enhanced an end-to-end pricing analytics solution using Python, SQL Server, and Power BI to analyze sales trends, demand elasticity, competitor pricing, and revenue optimization across multi-source retail datasets. Mechanized ETL pipelines and interactive executive dashboards, improving reporting efficiency by 40% and enabling faster business decision-making. Performed pricing elasticity and discount impact analysis, identifying strategies that simulated up to 18% revenue growth and 12% profit margin improvement. Implemented SQL queries, forecasting models, and customer segmentation techniques to generate actionable insights for pricing optimization and market performance analysis.
Customer Churn Analytics Predictive Retention Intelligence System
January 1, 2025 – December 31, 2025
Enhanced an end-to-end Customer Churn Analytics solution using Python, SQL Server, Power BI, XGBoost, and SHAP, achieving 85%+ churn prediction accuracy through predictive modeling and customer behavior analysis. Performed EDA, feature engineering, and SQL analytics on 7K+ customer records to identify churn drivers, customer risk segments, and revenue-at-risk patterns. Improved interactive Power BI dashboards and a retention recommendation engine, increasing reporting efficiency by 40% and enabling data-driven customer retention strategies.
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to learning and applying diverse data analytics techniques. The focus on business impact (revenue growth, profit margin improvement, churn reduction) aligns well with a results-oriented culture. The breadth of tools and technologies used (Python, SQL, Power BI, MongoDB, XGBoost, SHAP) indicates a willingness to explore and integrate various solutions, which is positive for cultural fit in an innovative team. However, the lack of professional experience means cultural fit in a corporate setting is yet to be proven.
Soft Skills & Operational Fit
The candidate lists problem-solving, analytical thinking, communication, team collaboration, critical thinking, and adaptability as soft skills. These are crucial for a Data Analyst role. The project descriptions indicate an ability to work on complex problems and deliver tangible business improvements, suggesting a good operational fit for data-driven environments.