Sattu Jahnavi

Android Developer

"Completed the Android Developer Virtual Internship by Eduskills, a detailed 3-month program from January to March 2025, focusing on Android app development. Gained hands-on experience through practical coding exercises, real-world projects, and expert mentorship. Mastered Android Studio, Java, Kotlin, and app deployment, while working on user-friendly, fully functional apps. Culminated in certification and career support, developing a strong understanding of Android development principles and best practices for building high-quality apps."

Data Analytics Process Automation Virtual Internship

"Completed the AIML Virtual Internship by Eduskills, a comprehensive 10-week program focusing on Artificial Intelligence and Machine Learning. Gained hands-on experience through in-depth learning modules, real-world projects, and expert mentorship, culminating in certification and career support. Developed a robust understanding of AI/ML concepts and their real-world applications."** Skills: Artificial Intelligence (AI), Machine Learning (ML).

Data Engineering Virtual Internship

Cloud Virtual Internship

- Duration: [10 WEEKS](Apr to Jun) This internship is a significant step towards creating an industry-ready workforce proficient in cloud technologies, aligning academic training with the needs of modern industries. Participating in the AICTE (All India Council for Technical Education) Cloud Virtual Internship was an enlightening experience that allowed me to delve deeply into cloud computing concepts and practical applications. This internship, designed to bridge the gap between theoretical knowledge and real-world applications, provided me with hands-on experience in cloud technologies, fostering a better understanding of the industry standards and expectations Done courses in AWS Academy and claimed completion badges in Credly.

AI-ML Virtual Internship

The AIML Virtual Internship by Eduskills offers a comprehensive 10-week program designed to equip participants with practical skills in Artificial Intelligence and Machine Learning. This hands-on experience includes: -In-Depth Learning Modules -Real-World Projects -Expert Mentorship -Certification -Career Support Participating in the EduSkills AI & ML Virtual Internship was a transformative experience that allowed me to immerse myself in the rapidly evolving fields of Artificial Intelligence (AI) and Machine Learning (ML). This internship, structured to provide a blend of theoretical knowledge and practical application, enabled me to gain a robust understanding of AI/ML concepts and their real-world implementations.

Student Intern

Data Science Intern

- Duration:4 weeks program[May 15 to Jun 15] - Key Responsibilities: - Data collection, cleaning, and preprocessing. - Statistical analysis and model building. - Visualization of data insights and results. - Collaboration with team members on various projects. - Key Achievements:During my internship at Prodigy InfoTech, I developed a strong foundation in data analysis, machine learning, and data visualization. My passion for uncovering actionable insights and my dedication to continuous learning have equipped me with the skills necessary to excel in dynamic and challenging environments. Skills Section: Technical Skills: ->Data Analysis ->Machine Learning ->Data Visualization ->Big Data Technologies ->Data Cleaning & Preprocessing Soft Skills: ->Analytical & Innovative Thinking ->Problem Solving 🔑 Key Takeaways from Internship at Prodigy InfoTech: -Hands-on Experience with Data Analysis -Machine Learning Implementation -Advanced Data Visualization Skills -Project Management and Problem Solving Internship Program Highlights: ->Diverse Project Exposure ->Professional Development ->Innovative Work Culture ->Professional Development

AI-ML Intern

Duration: [6 weeks program] (May 15 to Jun 24) - Key Responsibilities: - Developing machine learning models. Completed Required courses in IBM SkillsBuild and got course completion badges in Credly - Conducting research on AI/ML algorithms. - Presenting findings and results to the team. Duration: [6 weeks program] (May 15 to Jun 24) - Key Responsibilities: - Developing machine learning models. Completed Required courses in IBM SkillsBuild and got course completion badges in Credly - Conducting research on AI/ML algorithms. - Presenting findings and results to the team.