Ria Ghosh

Ria Ghosh

Data Science | Data Analysis

67, Swamibag Lane, Wari, Dhaka, Bangladesh.

About

I am a highly motivated Computer Science Engineering graduate with a strong foundation in Data Science, Deep Learning, and Data Analysis. My passion lies in turning raw data into actionable insights to support smarter business decisions. With hands-on experience in data wrangling, statistical analysis, and model development, I am proficient in tools such as Python (Pandas, NumPy, scikit-learn), SQL, and visualization libraries like Matplotlib, Seaborn, and Power BI.

In addition to my data skills, I bring a background in software development using technologies like Django, Node.js, and MongoDB—enabling me to build full-stack data-driven applications. My goal is to leverage data to solve real-world challenges and contribute to building intelligent, scalable solutions.

Volunteer

Member of Project Management

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Robotics Club Of Brac University

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Actively participated in project management initiatives within the Robotics Club, contributing to various technical projects and fostering innovation.

Highlights

Contributed to the planning and execution of robotics projects.

Collaborated with team members on technical challenges and solutions.

Cultural Program Anchor & Student Affairs Contributor

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Brac University Student Affairs

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Anchored cultural programs and actively contributed to student affairs, gaining valuable experience in event management and community engagement.

Highlights

Successfully anchored multiple cultural programs, enhancing campus life.

Engaged in student affairs initiatives, supporting university community activities.

Active Member

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Brac University Anti-Bullying Campaign

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Actively participated in the university's anti-bullying campaign, promoting a positive and inclusive campus environment.

Highlights

Advocated for a safe and respectful campus culture.

Contributed to awareness campaigns and initiatives against bullying.

Education

Brac University

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BSc Computer Science & Engineering Grade: 3.08/4.00

Publications

Automatic waste classification using deep learning and computer vision techniques

Brac University

Authored a thesis focused on advancing waste management through custom CNN models. Trained models on a large dataset for eight waste classes, achieving high accuracy. Incorporated pretrained models (VGGNet16, ResNet50, MobileNetV2, InceptionV3, EfficientNetB0) for enhanced accuracy. Proposed YOLOv4 and YOLOv4-tiny with Darknet-53 for waste detection, achieving mAP values of 85.73% and 81.28% respectively.

Skills

Programming Languages

Python, Java, JavaScript.

Web Technologies

React.js, Node.js, Django, HTML, CSS, Express.js, React Native, Tailwind CSS.

Databases

MySQL, MongoDB, SQLite.

Data Visualization

Power BI, Tableau, Matplotlib, Plotly.

Tools & Other Technologies

Jira, Microsoft Office, LaTeX, Git, Reanimated.

Testing

Manual Testing, Postman, API Testing, Selenium, JMeter.

Languages

English

Proficient

References

Dewan Ziaul Karim

Lecturer, Department of CSE, Brac University, Dhaka. Email: ziaul.karim@bracu.ac.bd

Projects

Book Store API Test

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Summary

API Testing using Postman

Bracu Website Test

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Summary

Manual Testing of Bracu website.

Car Reselling Online Platform

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Summary

Developed a comprehensive full-stack online platform for car reselling, enabling seamless transactions and interactions between sellers and buyers.

Hotel Booking System

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Summary

Created a web-based hotel booking system designed to simplify online accommodation search, selection, and reservation processes for enhanced user experience.

Hospital Management System

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Summary

Engineered a web-based system to streamline hospital operations, enhancing patient care and administrative efficiency.