Pradakshana User

I’m an AI/analytics-focused candidate building data products that go from raw information to clear outcomes. Through my Data Analytics and Data Science training, I’ve sharpened my ability to work with data, model insights, and present results in business-ready formats.

In my MERN internship, I completed a comprehensive MERN stack internship—MongoDB, Express.js, React.js, and Node.js—so I can ship end-to-end, user-facing applications. I also designed a “JOB ANALYTICS & PERFORMANCE DASHBOARD” using Power BI, integrating multiple data sources and implementing DAX for custom KPIs with interactive visuals like slicers and drill-throughs.

My projects also lean into GenAI and machine learning: I built an “ENTERPRISE DOCUMENT & MEETING AI ASSISTANT” using Whisper and Hugging Face Transformers in a Streamlit web app to generate summaries, action items, and risk highlights. I also created a “FAKE NEWS DETECTION” model with Python, NLP (BERT, TF-IDF, NLTK), and Deep Learning (LSTM), achieving >90% accuracy through optimized preprocessing and improved interpretability.