I am passionate about transforming data into meaningful insights and building AI-powered solutions that solve real-world problems. My interests span Data Analytics, Machine Learning, Business Intelligence, and Generative AI. I enjoy working with data, creating interactive dashboards, and developing intelligent applications that deliver measurable impact.

🚀 About Me:

• 🔭 Currently building Data Science, Machine Learning, and Generative AI projects using Python, SQL, Power BI, Streamlit, LangChain, and LLMs.
• 💼 Data Science Intern @ Emerging Technologies (Sept 2025 – Oct 2025)
• Performed Exploratory Data Analysis (EDA) on real-world datasets.
• Cleaned and analyzed 1,000+ records using Python, Pandas, and SQL.
• Automated data-processing tasks and generated actionable business insights.
• 💼 Infosys Springboard Virtual Intern (Current)
• Working on AI, Data Analytics, and industry-oriented projects while strengthening problem-solving and software development skills.
• 👯 Open to collaborating on Data Analytics, Machine Learning, Business Intelligence, and Generative AI projects.
• 🤝 Interested in contributing to open-source projects and learning from experienced developers and data professionals.
• 🌱 Currently learning Advanced Machine Learning, Deep Learning, MLOps, LangChain, Agentic AI, and Cloud AI technologies.
• 💬 Ask me about Python, SQL, Power BI, Excel, Data Analysis, EDA, Streamlit, Machine Learning, and Generative AI.
• 🎯 Career Goal: To build scalable AI and data-driven solutions as a Data Analyst, Data Scientist, or AI Engineer.
• ⚡ Fun fact: I enjoy transforming messy datasets into meaningful insights and building AI-powered applications that make data more useful and accessible.

Sept 2025 – Oct 2025

• Developed Python scripts handling 1000+ records, improving workflow efficiency by 20%.
• Performed data cleaning, transformation, and preprocessing to enhance data quality.
• Executed SQL queries (joins, aggregations) for data extraction and analysis.
• Applied EDA techniques to identify patterns and generate business insights.

Python · Streamlit · SQLite | 2025

• Developed a role-based system to manage and analyze internship data efficiently.
• Processed 500+ records with authentication and tracking features.
• Created dashboards and reports to support business insights.

Python · Streamlit · Gemini AI | 2025

• Built an AI-powered application for image analysis and automated insights.
• Integrated ML APIs to process and extract meaningful information from images.

Generative AI · LangChain · LangSmith | 2026

• Developed LLM-based workflows using LangChain for automation tasks.
• Evaluated and improved model outputs using LangSmith testing techniques.

LangGraph · Generative AI | 2026

• Designed multi-agent systems to automate complex workflows and improve efficiency.
• Built coordinated agent pipelines for intelligent task management.

🎓 Master of Computer Applications (MCA) Dr. Ram Manohar Lohia Avadh University, Sultanpur, UP (Aug 2024 – Aug 2026)

⭐️ From Aditi Singh