about

  • welcome

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  • portfolio

  • ©2025

  • crafting since y:2018

  • Developer / Design / AI-ML

I’m Rupak Bera — a UI/UX designer, data analyst, and tech enthusiast passionate about building intuitive digital products and solving real-world problems through design and code.

I hold a Bachelor of Computer Applications from Amity University Kolkata, graduating with a CGPA of 9.25. My work spans UI/UX design, data-driven storytelling, and AI-powered applications, blending user-focused design with practical technology. Whether prototyping a travel app, analyzing environmental trends, or experimenting with machine learning, I always bring a problem-solving mindset and a love for detail.

education

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education

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Bachelor of Computer Applications

AIITK, Amity University Kolkata

2022 — 2025

Graduated with a CGPA of 9.25. Specialized in web technologies, data structures, machine learning, and UI/UX design. Completed multiple hands-on projects and published academic research.

Bachelor of Computer Applications

AIITK, Amity University Kolkata

2022 — 2025

Graduated with a CGPA of 9.25. Specialized in web technologies, data structures, machine learning, and UI/UX design. Completed multiple hands-on projects and published academic research.

Class XII (Science with Computer Science)

Kendriya Vidyalaya No.2, Kharagpur (CBSE)

2020 — 2022 | 74.2%

Built a foundational understanding of physics, chemistry, and computer science. Developed early interest in coding and tech problem-solving.

Class XII (Science with Computer Science)

Kendriya Vidyalaya No.2, Kharagpur (CBSE)

2020 — 2022 | 74.2%

Built a foundational understanding of physics, chemistry, and computer science. Developed early interest in coding and tech problem-solving.

Class X – ICSE Board Subjects

Disari Public School, Haldia (ICSE)

2010 — 2020 | 89%

Excelled in academics with a strong focus on mathematics and computer applications. Laid the groundwork for logical thinking and analytical skills.

Class X – ICSE Board Subjects

Disari Public School, Haldia (ICSE)

2010 — 2020 | 89%

Excelled in academics with a strong focus on mathematics and computer applications. Laid the groundwork for logical thinking and analytical skills.

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Years of Experience

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Research Publication

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Successful

Projects

experience

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experience

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experience

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Research Contributor

Independent Study & Research

May 2025

Published: Authored a research paper titled “Remote Monitoring & Telemedicine using Haptic Interface”, exploring the concept and application of haptic technology in remote healthcare. Published in IJIRT.

Research Contributor

Independent Study & Research

May 2025

Published: Authored a research paper titled “Remote Monitoring & Telemedicine using Haptic Interface”, exploring the concept and application of haptic technology in remote healthcare. Published in IJIRT.

Research Contributor

Independent Study & Research

May 2025

Published: Authored a research paper titled “Remote Monitoring & Telemedicine using Haptic Interface”, exploring the concept and application of haptic technology in remote healthcare. Published in IJIRT.

UI/UX Design Intern

Geogo Techsolutions

May 2024 – Aug 2024

Created end-to-end UI/UX designs for a travel booking app (JetSetGo) using Figma. Worked on user research, wireframing, high-fidelity prototyping, and usability testing. Focused on mobile-first design, accessibility, and a seamless user flow.

UI/UX Design Intern

Geogo Techsolutions

May - Aug 2024

Created end-to-end UI/UX designs for a travel booking app (JetSetGo) using Figma. Worked on user research, wireframing, high-fidelity prototyping, and usability testing. Focused on mobile-first design, accessibility, and a seamless user flow.

UI/UX Design Intern

Geogo Techsolutions

May 2024 – Aug 2024

Created end-to-end UI/UX designs for a travel booking app (JetSetGo) using Figma. Worked on user research, wireframing, high-fidelity prototyping, and usability testing. Focused on mobile-first design, accessibility, and a seamless user flow.

Data Analyst Intern

PrepInsta

Dec 2023 – Feb 2024

Developed interactive dashboards in Tableau analyzing Fitbit consumer data, uncovering health and behavioral trends. Built a data-driven AQI visualization using historical data from India’s environmental agencies to explore regional air quality changes. Interpreted multi-dimensional datasets using tools like Pandas, Matplotlib, and Seaborn.

Data Analyst Intern

PrepInsta

Dec 2023 – Feb 2024

Developed interactive dashboards in Tableau analyzing Fitbit consumer data, uncovering health and behavioral trends. Built a data-driven AQI visualization using historical data from India’s environmental agencies to explore regional air quality changes. Interpreted multi-dimensional datasets using tools like Pandas, Matplotlib, and Seaborn.

Data Analyst Intern

PrepInsta

Dec 2023 – Feb 2024

Developed interactive dashboards in Tableau analyzing Fitbit consumer data, uncovering health and behavioral trends. Built a data-driven AQI visualization using historical data from India’s environmental agencies to explore regional air quality changes. Interpreted multi-dimensional datasets using tools like Pandas, Matplotlib, and Seaborn.

Machine Learning & Data Science Enthusiast

Academic & Self-Initiated Projects

2022 – 2025

Gained hands-on experience in machine learning using Scikit-learn, TensorFlow, and Keras. Built, trained, and evaluated models for classification and prediction tasks as part of academic explorations. Focused on model comparison, evaluation metrics, and applying explainable AI tools like Grad-CAM. Used tools like Google Colab, Jupyter Notebook, and real datasets for experimentation and testing.

Machine Learning & Data Science Enthusiast

Academic & Self-Initiated Projects

2022-25

Gained hands-on experience in machine learning using Scikit-learn, TensorFlow, and Keras. Built, trained, and evaluated models for classification and prediction tasks as part of academic explorations. Focused on model comparison, evaluation metrics, and applying explainable AI tools like Grad-CAM. Used tools like Google Colab, Jupyter Notebook, and real datasets for experimentation and testing.

Machine Learning & Data Science Enthusiast

Academic & Self-Initiated Projects

2022 – 2025

Gained hands-on experience in machine learning using Scikit-learn, TensorFlow, and Keras. Built, trained, and evaluated models for classification and prediction tasks as part of academic explorations. Focused on model comparison, evaluation metrics, and applying explainable AI tools like Grad-CAM. Used tools like Google Colab, Jupyter Notebook, and real datasets for experimentation and testing.