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Final-year BTech CSE student with a strong interest in software development, data science, machine learning, and problem-solving. Solved 125+ LeetCode problems covering DSA topics including arrays, trees, graphs, and dynamic programming. Proficient in Python, Java, and web technologies, with a passion for building practical projects and a commitment to continuous learning. Currently expanding expertise in AI and data science to stay ahead in emerging technologies.

Skills
C|Java|DSA|SQL|Python|Power BI|Data Analysis|Data Science|Tableau|React|Pandas|Numpy|R Programming|Charts and Graphs|Dashboards|Git
Education
Bachelor of Technology in Computer Science, DIT University
2022 – 2026 | Dehradun
  • •CGPA - 7.02 / 10
    • Vantage Hall Girls' Residential School
    04/2016 – 06/2022 | Dehradun, India
    Professional Experience
    Intern, Celebal Technologies
  • •Gained industry-relevant exposure and hands-on experience in Python, machine learning, and data science using prominent datasets from Kaggle.
    • 06/2025 – 08/2025Virtual
    Intern, DRDO
  • •Collaborated with a mentor to develop a graphical user interface using the Tkinter library.
    • 06/2024 – 08/2024Delhi
  • •Enhanced Python skills through hands-on GUI development and practical exercises.
    • Job Simulation, Deloitte
  • •Completed a virtual job simulation involving data analysis and forensic technology.
  • •Created a data dashboard using Tableau
  • •Used Excel to classify data and derive business insights.
    • Job Simulation, Tata Data Visualisation: Empowering Business with Effective Insights
  • •Created data visualizations for Tata Consultancy Services to assist in decision-making
  • •Prepared client-facing questions for a leadership meeting
  • •Designed impactful visuals for business insights
    • Projects
    Google Gemini Clone

    Developed a conversational AI assistant UI using the assistant-ui framework, integrating Google Gemini or OpenAI APIs to simulate a ChatGPT-style browser experience.

    House Price Prediction

    Built a web application using Streamlit to predict house prices based on features such as area, number of bathrooms, garage capacity, and overall quality. Trained the model using the Kaggle House Prices Dataset.

    RAG Loan Chatbot

    Implemented a Retrieval-Augmented Generation (RAG) chatbot to answer questions based on a loan approval dataset using FAISS and Sentence Transformers for retrieval and NLP.

    Zepto Data Analysis

    A comprehensive, real-world data analyst portfolio project built around an e-commerce inventory dataset scraped from Zepto, one of India’s rapidly expanding quick-commerce startups. The project replicates actual analyst workflows — starting from raw data exploration all the way to actionable, business-driven insights. Performed on PostgreSQL.

    Certificates