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Hello, I'm Parva. I'm an AI/ML Engineer with a passion for developing intelligent systems and building user-friendly web applications. I have extensive experience in creating impactful projects using Machine Learning, Artificial Intelligence, and modern technologies like Transformers, Generative AI

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About Me

I'm a final-year student pursuing my B.Tech in Computer Science and Engineering at Vellore Institute of Technology, Vellore campus. I have a strong passion for Artificial Intelligence and Machine Learning. My academic journey has been fueled by curiosity and a desire to harness technology to solve real-world challenges.

My core tech stack includes Python, Pandas, Keras, and TensorFlow. I enjoy working on projects related to natural language processing, computer vision, and predictive analytics.

When I'm not coding, I enjoy playing video games, watching movies, playing badminton, and practicing guitar. I also have a keen interest in learning new technologies and exploring the latest advancements in AI/ML.

My Projects

AutoInsight AI

An AI-powered tool that automates exploratory data analysis (EDA), model selection, and predictive analytics. Leveraging GPT-4, it provides comprehensive insights and visualizations for datasets with minimal user effort.

  • Python
  • Pandas
  • Transformers
  • Scikit-learn
  • GPT-4

Topic-based Sentiment Analysis

Facilitated sentiment extraction using transformer-based models. Enabled topic-based sentiment analysis with real-time visualizations.

  • Python
  • NLP
  • Transformers
  • Streamlit
  • Matplotlib

Skills

Experience

Data Analysis Intern

Softqube Technologies Pvt. Ltd.

Spearheaded data transformation processes with Pandas for hotel room pricing models. Developed components for the QuantumDataLytica platform and integrated a chatbot for grocery e-commerce, enhancing customer convenience.

July 2024 - Present

Advanced Analytics Intern

Optimal Strategix Consulting Pvt. Ltd.

Developed a preprocessing pipeline to improve OCR accuracy using OpenCV, SciPy, and Python. Extracted key e-commerce data using Video OCR and computer vision techniques.

Sept. 2023 - Dec. 2023