Nov 2025 – Present · 7 mos · Bengaluru, Karnataka, India · Remote

May 2025 – Jul 2025 · 2 mos · Kochi, Kerala, India · On-site

• During my internship at HiFX IT & Media Services Pvt. Ltd. (May–July 2025), I worked on a proof-of-concept to transition the company’s data infrastructure from Snowflake to an open-source, Apache-based lakehouse using Apache Iceberg, Spark, and StarRocks. I built scalable data pipelines, explored schema evolution, and containerized the stack with Docker. In the second phase, I developed secure RESTful APIs with Flask using JWT authentication and MySQL. I also implemented a semantic search engine powered by SentenceTransformers and Pinecone for intelligent data retrieval. This experience deepened my skills in data engineering, backend development, and deploying modern AI-driven systems.

May 2025 – Jul 2025 · 2 mos · Remote

• During my Data Science internship at Celebal Technologies (May–July 2025), I focused on applying machine learning to practical business problems. My main project was developing an end-to-end house price prediction system, which involved data cleaning, feature engineering, and building predictive models like Random Forest and XGBoost. I also worked on exploratory data analysis (EDA) using Pandas and visualizations. The internship deepened my knowledge of model evaluation techniques, such as precision and recall, and introduced me to deploying ML models through Streamlit apps. In addition, I created a Retrieval-Augmented Generation (RAG) chatbot using FAISS and Hugging Face tools. This experience strengthened my skills in Python, ML model deployment, and collaborative coding with Git, all within a real-world, industry setting.

Nov 2024 – Jan 2025 · 2 mos · Remote

• During my Data Visualization Internship at Infosys Springboard, I created IndiaCityGDP, an interactive project visualizing GDP and productivity metrics for major Indian cities. I collected and cleaned economic data using Pandas and NumPy, then built dynamic Power BI dashboards to highlight regional trends and insights. The dashboard was integrated into a Streamlit web app for easy access and enhanced user engagement. I thoroughly tested all features and prepared clear documentation, delivering a robust tool for exploring urban economic performance in India.