Swagatika Nayak

I’m a Computer Science & Engineering graduate with a CGPA of 8.44/10, and I bring strong skills in Python, Java, SQL, Data Analytics, Machine Learning, and Data Visualization. I’ve focused on data-driven work through internships and academic projects, with hands-on experience in data preprocessing, Exploratory data analysis (EDA), and predictive modeling.

In my Java Programming Trainee role at Coding Blocks, I’m learning core Java, DSA (data structure and algorithm, Collections Framework, Exception Handling, and File Handling). I’m also developing Java applications and solving programming problems to strengthen my problem-solving, coding, and software development skills.

As a Python & Data Science Intern at SkilloTech, I performed data cleaning, transformation, and preprocessing using Pandas. I conducted exploratory data analysis on structured datasets, developed and evaluated machine learning models, and debugged and optimized Python code for better performance.

In my AI/ML Intern role at CTTC, I assisted with machine learning model training and evaluation, and worked on feature engineering and data preprocessing techniques. Through projects like Climate IQ (predictive analytics + interactive dashboard), Face Recognition System (OpenCV), and DineSight (NLP sentiment analysis using TF-IDF and RandomForest), I build AI-based applications that turn messy data into clear insights—because I genuinely enjoy shipping practical, explainable results.