Data Science Intern @Infosys Pragati’25 | AI & Data Science Student | Data Analysis | Python, PowerBI, SQL, ML | Data Analysis | Infosys Springboard Certified | Open to Freelance Projects


6Th Semester, Artificial Intelligence and Data Science
K.S School of engineering and management
Bachelor of Engineering - BE, Artificial intelligence and Data Science
Modern english school
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Download Tal BossData Science Intern @Infosys Pragati’25 | AI & Data Science Student | Data Analysis | Python, PowerBI, SQL, ML | Data Analysis | Infosys Springboard Certified | Open to Freelance Projects
I’m an enthusiastic undergraduate student pursuing a degree in Artificial Intelligence and Data Science, with a growing interest in how intelligent systems can drive real-world impact. Currently building a strong foundation in Python, I’m eager to apply my skills in areas like machine learning, data analysis, and automation. While I’m still early in my academic journey, I’m deeply curious and committed to continuous learning—both inside and outside the classroom. I’m actively looking for opportunities to grow through internships, hands-on projects, and collaboration with professionals in the field. My goal is to contribute meaningfully to the AI and data science community and build a career that blends technology with purpose. 🔗 Let’s connect—I'm always open to learning and new opportunities!
Greater Bengaluru Area
Data Science Intern at Infosys Springboard Pragati Cohort 6, Aug 2025 - Nov 2025 · 4 mos, •Analyzed datasets of 5,000+ records using Python and machine learning techniques to generate actionable insights. •Performed data cleaning, exploratory data analysis (EDA), and data visualization to support decision-making. •Developed predictive models improving data analysis efficiency by 20%. •Applied analytical thinking and problem-solving skills to deliver data-driven solutions. •Delivered actionable insights to support stakeholder decisions and improve business performance.
AI Business Analyst at Tech Saksham, Nov 2024 - Feb 2025 · 4 mos, •Developed machine learning models for sales forecasting, customer segmentation, and fraud detection using Python, Pandas, and Scikit-learn. •Performed data preprocessing, feature engineering, and model evaluation using Pandas, NumPy, and Scikit-learn. •Generated actionable business insights to support strategic decision-making. •Improved decision-making efficiency by 25% by leveraging data-driven insights and predictive modeling.
6Th Semester, Artificial Intelligence and Data Science, K.S School of engineering and management
Bachelor of Engineering - BE, Artificial intelligence and Data Science, Modern english school