Available for Work

About Me:

I'm Anup Nalawade, a passionate ML Engineer currently pursuing a B.Tech in Artificial Intelligence & Machine Learning. I specialize in building real-world, end-to-end machine learning — from data wrangling and model development to deployment using Flask and Streamlit. My projects span intelligent automation, data-driven web applications, and AI-powered analytics tools. I'm also well-versed in Data Structures and Algorithms (DSA), which strengthens my problem-solving abilities and coding efficiency — crucial for technical interviews and software development roles.

About Me:

Education

I am pursuing my Bachelor's degree in Artificial Intelligence & Machine Learning at G.H. Raisoni College of Engineering & Management, Pune, where I am developing my skills in Artificial Intelligence, Machine Learning, and NLP. This education is providing me with a strong foundation for a career in Data Science.

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Stack

My technical toolkit includes proficiency in Python, C++, SQL, HTML and CSS. I have hands-on experience with libraries and frameworks such as Pandas, NumPy, Scikit-learn, TensorFlow, OpenCV, Flask and Bootstrap. I'm also skilled in tools like Git, Streamlit, Render. Additionally, I'm well-versed in data preprocessing, feature engineering, model deployment, and responsive web design, ensuring the applications I build are functional, scalable, and user-friendly across all devices.

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Experience

Data Science Intern

Internship Studio

Aug 2024 - Sept 2024

Worked on real-world datasets to develop and deploy machine learning models. I gained hands-on experience in data cleaning, exploratory data analysis, feature engineering, and model evaluation.

Data Science Intern

Internship Studio

Aug 2024 - Sept 2024

Worked on real-world datasets to develop and deploy machine learning models. I gained hands-on experience in data cleaning, exploratory data analysis, feature engineering, and model evaluation.

Data Science Intern

Internship Studio

Aug 2024 - Sept 2024

Worked on real-world datasets to develop and deploy machine learning models. I gained hands-on experience in data cleaning, exploratory data analysis, feature engineering, and model evaluation.

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