Hi, my name is Manvi Guleria
A Software Developer based in India.

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About me

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I am a motivated and ambitious Computer Science student with a minor in Data Science at Lovely Professional University. Passionate about data analysis and software development, I enjoy exploring innovative solutions that address real-world challenges.

With a strong foundation in data analysis, machine learning, and full-stack development, I am actively seeking internship and full-time opportunities where I can apply my skills to impactful projects. Beyond academics, I enjoy connecting with like-minded individuals, exchanging ideas, and exploring opportunities to collaborate and innovate. My goal is to leverage technology and data science to create solutions that make a meaningful difference.

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Experience

Microsoft

June 2025 – August 2025 | Bengaluru

Software Engineer Intern

  • Collaborated with the CCA team on Carrier-Grade Data Partitioning using distributed database strategies, improving scalability and system performance, resulting in 20% faster query response times and more balanced workload distribution across servers.
  • Optimized backend infrastructure by refining data distribution algorithms and server configurations, contributing to a 15% reduction in latency and improved throughput for high-traffic operations.

Cipher Schools

June 2024 – July 2024 | Remote

Summer Trainee

  • Built interactive dashboards in Streamlit to analyze 10+ KPIs for regional trends, yearly sales, and profits in the U.S. coffee chain market, reducing report generation time by 40%.
  • Processed 50k+ rows of sales data using Python libraries (NumPy, Pandas, Scikit-learn) to deliver actionable marketing insights.
  • Enhanced Python development proficiency through applied data analysis and visualization in Jupyter Notebook.

Projects

Talk AI

In building Talk AI, I demonstrated perseverance and adaptability by designing and deploying an AI-powered chatbot with Python, Streamlit, and OpenAI’s API. Managing over 200+ concurrent sessions required consistent optimization and problem-solving, while also refining the chat history UI to enhance engagement. This project reflects my commitment to delivering accessible AI interfaces and my ability to integrate frameworks and APIs effectively to create real-world productivity tools.

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Coffee Chain

While working on Coffee Chain, I showcased my analytical and problem-solving skills by integrating data pipelines in Python and designing an interactive dashboard in Tableau. Identifying operational patterns that directly impacted revenue required perseverance in cleaning and merging multi-source data. This experience highlights my commitment to transforming raw data into actionable insights and my ability to leverage platforms like Tableau to support business decision-making.

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Maze Solver

Developed a dynamic web application featuring 6 maze generation algorithms (DFS, Kruskal’s, Prim’s, Wilson’s, Aldous–Broder, Recursive Division) and 5 pathfinding algorithms (BFS, Bidirectional BFS, Greedy Best-First, Dijkstra, A*), enabling complete algorithm visualization for users. Implemented drag-and-drop start/finish positioning and real-time wall editing, enhancing interactivity by 50% compared to static visualizations.

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Contact

Interested in working together or have an opportunity in mind? Let’s connect!

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