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Nirali JoshiNJ
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Nirali Joshi

@niralijoshi

Aspiring data scientist and web developer blending ML, NLP, and front-end skills to build impactful applications.

India
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What I'm looking for

I am looking for entry-level roles combining ML/NLP and web development where I can build data-driven, user-focused applications and grow technically.

I am an aspiring data scientist and web developer currently completing a B.Tech in Computer Science and Design, with a strong academic record and practical internship experience. I combine machine learning and NLP knowledge with front-end development to deliver user-focused solutions.

During internships I developed web applications using HTML, CSS, and JavaScript, and built predictive ML models for weather analysis using Python and scikit-learn. I created an NLP-powered Streamlit app that generates summaries and quizzes from the SQuAD dataset, and a mood-based music recommender using K-Means clustering.

I have hands-on experience with data processing (Pandas, NumPy), SQL queries, model development, and tools such as Git and Jupyter. I focus on problem-solving, clear communication, teamwork, and timely delivery in all projects.

I am eager to contribute to a team where I can apply ML/NLP and web development skills to build production-ready, data-driven features while continuing to grow technically and take on increasing responsibility.

Experience

Work history, roles, and key accomplishments

TL

Data Science Intern

Tech Elecon Pvt. Ltd.

May 2025 - Jun 2025 (1 month)

Developed predictive ML models for rainfall and temperature analysis and processed datasets to extract insights, delivering classification models to support data-driven decisions.

Education

Degrees, certifications, and relevant coursework

GC

G H Patel College of Engineering & Technology (CVMU)

Bachelor of Technology, Computer Science and Design

2022 -

Grade: 8.75/10

Activities and societies: Recipient of MYSY Scholarship for Academic Excellence. Maintained 8.75 CGPA in Computer Engineering.

Pursuing Bachelor of Technology in Computer Science and Design with a CGPA of 8.75/10, expected graduation in May 2026.

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