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Data 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
Results-driven Data Analyst with strong skills in Python, SQL, Power BI, and Excel for transforming raw data into actionable business insights. Experienced in building dashboards, exploratory data analysis, and predictive models to support strategic business decisions. Passionate about solving real-world business problems through data-driven approaches and analytics.
Rajiv Gandhi College of Science & Technology, SRTM University, Nanded
Bachelor's Degree
August 1, 2023 – June 30, 2026
Smart Inventory Forecasting System Using ML
June 19, 2026 – Present
Developed an AI-powered inventory forecasting system using Machine Learning techniques. Built an interactive dashboard with analytics, authentication, and inventory prediction features. Implemented REST APIs and database integration for real-time inventory management. Achieved demand forecasting model performance with an R2 Score of 0.89.
View ProjectBanking Database Analysis (SQL)
June 19, 2026 – Present
This project is a Banking Database Management and Analysis project developed using MySQL. It contains multiple banking-related tables and SQL queries to perform real-world banking operations and transaction analysis. Developed SQL queries using joins, Subqueries, CTEs, and aggregate functions for business reporting. Generated reports on customer activity and transaction trends. Identified high-value customers and account performance metrics.
HR Analytics Dashboard using Power BI
June 19, 2026 – Present
Built an end-to-end HR Analytics Dashboard using Power BI, Power Query, and DAX to analyze 1,000+ employee records. Created KPI measures including Employee Count, Attrition Rate, Average Salary, and Average Tenure using DAX. Built interactive visualizations with slicers, drill-through, and tooltips. Generated actionable insights to support HR decision-making and employee retention.
TATA Gen-AI powered data analytics
TATA
June 1, 2026 – Present
Cultural Fit Analysis
The candidate demonstrates a strong interest in data-related fields through diverse personal projects, including banking database analysis, HR analytics, and inventory forecasting. This breadth of application, combined with the target role of 'Data', suggests a good alignment with a data-centric organizational culture. The self-starter nature indicated by personal projects is a positive sign for cultural fit. However, the lack of professional experience and specific team collaboration examples limits a comprehensive cultural fit assessment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a results-driven approach and a passion for solving real-world business problems through data-driven analytics. The focus on end-to-end analytics workflows and reporting automation suggests an operational fit for roles requiring practical application of data skills. However, without specific psychometric or English test scores, a deeper assessment of soft skills like logical reasoning, work attitude, stress handling, and team collaboration is not possible.