Veena S Gopal

• IT Engineering graduate with 3 years of experience in banking services. bringing strong domain knowledge in financial operations.
• Certified in Python, Machine Learning, Data Analysis, Advanced Excel, and Power Blunder a comprehensive data certification program.
• Skilled in data manipulation, cleaning, and analysis using Python (Pandas. NumPy) and SQL querying.
• Experienced in building predictive machine learning models for business insights and forecasting.
• Proficient in creating interactive dashboards and visual reports using Power Bl and Excel to support decision-making.
• Strong foundation in statistical analysis and exploratory data analysis (EDA) to uncover trends and patterns.
• Efficient communication skills with ability to explain technical concepts clearly to business stakeholders.
• Adept at collaborating with cross-functional teams to deliver data-driven solutions aligned with business goals.
• Passionate about continuous learning and applying emerging data science techniques to solve real-world problems.

• Date of Birth: 07/24/91
• Gender: Female
• Nationality: Indian

Executive Post Graduate Certification program in Data Science , Machine Learning and AI - by iHub, IIT Roorkee

• Completed Executive Post Graduate Certification Program in Data Science and AI from IIT Roorkee, a rigorous program covering key data science and AI domains.
• Gained hands-on expertise in Excel for advanced data analysis and visualization, supported by multiple practical projects.
• Mastered SQL for effective data querying, manipulation, and database management, demonstrated through project-based assignments.
• Developed strong programming skills in Python, with focus on data processing, automation, and machine learning libraries, reinforced by real-world projects.
• Built proficiency in Power BI by creating interactive dashboards and business intelligence reports, complemented by several project submissions.
• Acquired practical knowledge of Machine Learning algorithms, model building, evaluation, and deployment, applied in multiple hands-on projects.
• Studied core concepts of Data Science including exploratory data analysis, statistical modeling, and predictive analytics, with project work validating theoretical concepts.
• Successfully completed a series of projects across all modules, showcasing the application of theoretical knowledge to solve real-world problems.