prakharsharan27
About Candidate
Highly motivated and detail-oriented Data Analyst with a strong foundation in data analysis, visualization, and statistical techniques. Skilled in Python, SQL, Power BI, and Tableau, with hands-on experience in delivering actionable insights through data-driven solutions. Experienced in exploratory data analysis (EDA), predictive modeling, and dashboard creation to support informed decision-making.
Successfully completed projects like Parkinson’s Disease Prediction and Index Fund Analysis, and internships at Talenciaglobal and NTPC Pvt. Ltd., contributing to predictive modeling, trend analysis, and reporting. Passionate about leveraging data to solve complex problems and optimize business strategies.
Open to roles in data analytics, data science, and business intelligence.
Location
Education
Work & Experience
• Worked on real-time datasets of Healthcare Industry, to assist predictive modelling algorithms and identify key factors to help clients with decision making process. • Conducted exploratory data analysis (EDA) to enhance data accuracy and create visualizations to generate actionable reports, reducing data inconsistency by 25%. • Generated RAG reports for performance monitoring, enabling a 10% improvement in project management efficiency. • Tools used: Python, Pandas, Numpy, SQL, KNN, Random Forest.
• Enhanced fault categorization in electrical machines for precise fault diagnosis using machine learning techniques. • Improved the existing XGBoost model by refining feature extraction methods, observing a higher AUC score and F-1 score. • Further, performed EDA to extrapolate trends and presented a comprehensive report for future improvement scope.
