Ravindra Tanniru
@ravindratanniru
Entry-level Java developer blending web development and machine learning to build predictive, user-focused applications.
What I'm looking for
I’m an entry-level Java developer focused on building practical web experiences and data-driven features. I’m looking for a role where I can apply my knowledge of Java, web development, and machine learning while continuously learning new technologies.
In my projects, I built a Food Price Forecasting System using Python and machine learning, using preprocessing and comparing multiple algorithms. I achieved better accuracy with Random Forest and visualized predictions to support analysis and decision-making.
I also developed a Part Time Pro – Job Portal with JavaScript, HTML, and CSS, implementing job listing, search, and UI features. I improved usability using responsive design to make the experience smoother across devices.
Through my Artificial Intelligence & Machine Learning internship, I worked with real-world datasets, preprocessing, and implemented ML prediction models. I strengthen my foundation with coursework in Data Structures, DBMS, Operating Systems, and Computer Networks, and I bring problem solving and analytical thinking to every task.
Experience
Work history, roles, and key accomplishments
AI & ML Intern
Techno Future India
Dec 2024 - Apr 2025 (4 months)
Built and prepared real-world datasets through preprocessing and data preparation. Implemented machine learning models for prediction tasks.
Education
Degrees, certifications, and relevant coursework
KKR and KSR Institute of Technology and Sciences
Bachelor of Technology, Information Technology
Grade: CGPA: 7.69
B.Tech in Information Technology at KKR and KSR Institute of Technology and Sciences, Guntur. Earned a CGPA of 7.69.
Narayana Junior College
Intermediate, Intermediate
Grade: 85%
Completed Intermediate at Narayana Junior College. Secured 85%.
Pridhviraj High School
Secondary School Certificate (SSC), Secondary School
Grade: CGPA: 9.7
Completed SSC at Pridhviraj High School. Achieved a CGPA of 9.7.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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