A dedicated Data Analyst and AI/ML engineering student with a strong passion for turning data into actionable insights. Proficient in Python, SQL, Power BI, and data visualization tools, with experience in data cleaning, exploratory data analysis, and building predictive models. Skilled at applying statistical techniques and machine learning algorithms to derive meaningful insights and solve complex problems in real-world business scenarios.Key Projects:1. Fraud Detection for Financial Transactions:-Developed a fraud detection model using machine learning on a dataset of over 6 million transactions, improving detection accuracy and performance through feature engineering and model tuning.Conducted thorough data cleaning, exploratory data analysis, and statistical evaluations.2. Power BI Sales Dashboard:-Created a comprehensive Power BI dashboard to visualize and analyze sales performance data, enabling stakeholders to track KPIs, identify trends, and make data-driven decisions for improving business performance.3. Tulu Language Classification:-Collaborated on a regional language classification project to categorize Tulu dialects using data-driven approaches, contributing to the preservation of local languages through data analysis.Excited to apply my data analytics skills to drive business decisions and support strategic initiatives in a fast-paced environment. Eager to contribute to a dynamic team where I can enhance my skills in data analysis, Power BI, and reporting to solve business challenges and improve operational efficiencies.