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Data Analyst with less than a year in Python, SQL & Power BI
Aspiring Data Analyst and Computer Science graduate with expertise in Python, SQL, Power BI, Excel, Data Visualization, Machine Learning, Data Cleaning, ETL, Statistical Analysis, and Business Intelligence. Experienced in developing dashboards, performing exploratory data analysis (EDA), building predictive models, and transforming raw data into actionable insights. Strong analytical, communication, problem-solving, and stakeholder engagement skills
Swami Ramanand Teerth Marathwada University, Nanded
Bachelor of Computer Science · Computer Science
August 1, 2023 – June 30, 2026
Lal Bahadur Shastri Mahavidyalaya Ashti, Jalna
HSC
N/A – Present
Siddheshwar Vidyalaya Ashti, Jalna
SSC
N/A – Present
Hotel Booking Cancellation Analysis Dashboard
June 1, 2026 – June 30, 2026
Analyzed 10,000= hotel booking records using Python, Pandas, and Power BI. Performed data cleaning, validation, and exploratory data analysis to identify booking and cancellation trends. Developed 5= interactive dashboards with KPI tracking, filters, and trend analysis. Improved reporting efficiency and enabled data-driven business decision-making through visual insights.
Student Result Analyzer Using Machine Learning
June 1, 2026 – June 30, 2026
Built a machine learning model to predict student academic performance using historical datasets. Applied feature engineering, preprocessing, and visualization techniques for improved model performance. Achieved high prediction accuracy through classification and predictive analytics methods. Generated actionable insights to support academic performance monitoring and decision-making.
Cultural Fit Analysis
The candidate's academic projects demonstrate initiative and a practical application of data analysis and machine learning. The 'Hotel Booking Cancellation Analysis Dashboard' project shows an ability to work with real-world datasets and deliver actionable insights, which aligns with a results-oriented culture. The 'Student Result Analyzer' project indicates an interest in predictive modeling and leveraging data for decision-making. The breadth of technical skills listed, including various data tools and ML techniques, suggests a willingness to learn and adapt, which is positive for cultural fit in a dynamic team.
Soft Skills & Operational Fit
The candidate highlights strong analytical thinking, problem-solving, communication, and teamwork skills. These are crucial for a Data Analyst role, indicating a potential good fit for collaborative and data-driven environments. The emphasis on stakeholder engagement and presentation skills suggests an understanding of the need to translate technical insights into business value.