Tamalika Ghosh

Full Stack Engineer

Durgapur, West Bengal, India0 mo experience

Key Highlights

Proficient in multiple programming languages including Python and Java.
Hands-on experience with both front-end and machine learning projects.
Active participant in technical bootcamps and competitions.

Stackforce AI infers this person is a Full-Stack Developer with a focus on Web Development and Machine Learning.

Contact

Skills

Core Skills

Full-stack Web DevelopmentMachine Learning

Other Skills

HTMLCSSJavaScriptUI/UX principlesGitGitHubLinear RegressionRandom ForestJupyter NotebookStreamlitData PreprocessingPythonJavaC/C++Web Development

About

I am Tamalika Ghosh, a 3rd-year B.Tech student specializing in Electronics and Communication Engineering at Dr. B.C. Roy Engineering College, Durgapur. I completed my Class 10 from Pranavananda Vidyamandir (ICSE) and my Class 12 from Zoom International School (CBSE). I am proficient in Python, Java, and C/C++, with foundational skills in web development. I am actively enhancing my expertise in Data Structures and Algorithms (DSA) and have also worked on problems related to the Analysis of Algorithms. In addition to academics, I have participated in bootcamps organized by NIT Durgapur and have taken part in technical competitions conducted by the IETE Student Forum and IEEE. Passionate about technology and continuous learning, I aspire to build a strong career in the tech industry by embracing new challenges and continuously advancing my skills.

Experience

0 mo

Total Experience

Average Tenure

Current Experience

Edunet foundation

2 roles

Web Development Intern

Aug 2025 – Sep 2025 · 1 mo · Remote

As part of a 6-week internship program organized by the All India Council for Technical Education (AICTE) and Edunet Foundation, I worked on building a strong foundation in front-end web development.
Key highlights include:
Developed and optimized responsive web interfaces using HTML, CSS, and JavaScript.
Understood modern UI/UX principles and implemented best practices for design consistency and accessibility.
Gained hands-on experience in frontend frameworks and code versioning using Git and GitHub.
Collaborated in a project-based learning environment simulating real-world software development workflows.
This internship enhanced my practical understanding of front-end technologies and strengthened my ability to translate design concepts into functional, user-friendly web applications.

HTMLCSSJavaScriptUI/UX principlesGitGitHub+1

AI Intern

Aug 2025 – Sep 2025 · 1 mo · Remote

Climate & Agriculture Predictor Developed a machine learning-based solution to predict crop yield using climatic and agricultural factors. Trained and evaluated models (Linear Regression & Random Forest) in Jupyter Notebook, comparing accuracy with both two-feature and multi-feature datasets. Built an interactive Streamlit application (app.py) to allow real-time yield predictions based on user inputs such as precipitation, temperature, CO2 emissions, irrigation access, pesticide use, and soil health index.
Key Contributions:
> Organized dataset into raw, processed, and final stages for clarity and reproducibility.
>Enhanced Random Forest model with additional features for improved accuracy.
>Implemented model evaluation with metrics (RMSE, R²) and visualizations.
>Deployed an interactive, user-friendly prediction app.
>Version-controlled and published the project on GitHub for accessibility.
This project demonstrates my ability to apply data preprocessing, machine learning, and deployment workflows in real-world problem-solving for sustainable agriculture.