MC

Mandeep Chauhan

Data Science & Machine Learning · Computer Science Undergraduate

Noida, Uttar Pradesh, India

@mandeep_chauhan

0 followers

🎓 B.Tech, Computer Science & Engineering at Dr. A.P.J. Abdul Kalam Technical University (AKTU) · Graduating 2028

About

Computer Science undergraduate pursuing a B.Tech with hands-on experience in Python, SQL, data analysis, machine learning, and backend development. Has built and deployed dashboards and production backend systems using modern data science and web technologies.

Experience

  • Backend Developer
    Spirant Communication Pvt. Ltd. · Noida
    Apr 2025 – Jul 2026

    Developed and maintained backend features using Python, Django/Flask, PHP, REST APIs, authentication, CRUD operations, and database-driven business logic. Optimized MySQL queries and schemas across production tables, integrated third-party REST APIs, and investigated production issues through debugging and root-cause analysis. Worked with Git/GitHub and cross-functional engineering, product, frontend, and QA teams during Agile sprints.

  • Backend Developer
    CloudShope Technology · Noida
    Apr 2023 – Feb 2025

    Developed an IVR service management platform using Python and FastAPI with REST APIs. Automated CRM workflows using Python scripts and REST API integrations, used Redis caching and PostgreSQL query optimization, and containerized backend services with Docker during Agile development.

Education

  • B.Tech
    Modinagar Institute of Technologies
    Computer Science · Jul 2025 – 2028
  • Diploma
    Government Polytechnic, Changipur
    Computer Science

Skills

Tools / apps / platforms

1 to 2 years 1 to 2 years A year or two of steady use.
Git MySQL Redis Docker GitHub PostgreSQL
<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
SQLite Postman

Projects

  • Mutual Fund Analytics Capstone
    Python, Pandas, SQL

    Worked with structured financial datasets covering fund master data, NAV history, AUM, SIP, inflows, folio, performance, transactions, portfolio, and benchmarks for validation and analysis preparation.

  • Python, Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, Streamlit

    Built an end-to-end machine learning pipeline for employee salary prediction, performed EDA and preprocessing, compared regression algorithms, and deployed a Streamlit prediction app.

  • Python, Pandas, NumPy, Scikit-learn, Plotly, Streamlit, Matplotlib, Statsmodels

    Cleaned and preprocessed a Netflix titles dataset, performed exploratory data analysis, built an interactive Streamlit dashboard, and compared Linear Regression and Random Forest models for trend/forecasting analysis.

Courses & certifications

  • Complete 2026 Python Bootcamp · Udemy (CodeWithHarry) · 2026
  • MySQL Course · Intellipaat

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