Bachelor of Technology (B.Tech) in Computer Science & Engineering
Dronacharya College of Engineering, Gurugram (Affiliated with Maharshi Dayanand University)
2021 – 2025 | Percentage: 78%
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Aspiring Data Scientist | Data Analyst | Python Developer | Machine Learning Enthusiast
View my detailed professional background below, or download a PDF version.
Motivated and technically skilled Computer Science undergraduate with strong foundations in Data Science, Data Analysis, and Python Backend Development. Adept at solving real-world problems using Python and its powerful ecosystem (Pandas, NumPy, Scikit-learn, TensorFlow, Keras, Matplotlib), I have successfully built and deployed projects like product recommendation systems, solar panel efficiency prediction models, and real-time facial recognition systems. My expertise spans across data preprocessing, statistical analysis, model development, and visualization, supported by hands-on experience with SQL, MongoDB, Tableau, and Excel. Equipped with a deep understanding of machine learning algorithms, backpropagation, and gradient descent, I combine technical acumen with strong communication, teamwork, and self-driven learning. I’m eager to contribute to data-driven innovation and software development with a skilled and growth mindset and a strong academic background in Computer Science.
Dronacharya College of Engineering, Gurugram (Affiliated with Maharshi Dayanand University)
2021 – 2025 | Percentage: 78%
P.S.M Public School, New Delhi (CBSE Board)
2021 | Percentage: 90%
P.S.M Public School, New Delhi (CBSE Board)
2019 | Percentage: 92%
Kenstel Networks Limited
February 2025 – March 2025 (1 Months) | New Delhi
Devskill Hub
August 2024 – October 2024 (3 Months) | Remote
NovaNectar Services Private Limited
June 2024 – July 2024 (1 Months) | Remote
Python, SQL, Flask, HTML5, CSS3
Pandas, NumPy, Scikit-learn, TensorFlow, Keras, PyTorch
Linear/Logistic Regression, Naive Bayes, KNN, SVM, Decision Trees, Random Forest, LightGBM, XGBoost, Clustering (K-Means), PCA
Neural Networks, CNNs, RNNs, LSTM, Backpropagation, Gradient Descent
Data Collection, Data Cleaning / Preprocessing, Data Wrangling, EDA, Feature Engineering
Matplotlib, Tableau, Power BI
Jupyter Notebook, VS Code, Git, MySQL, MongoDB, SQLite, Microsoft Excel
Problem-solving, Analytical Thinking, Statistical Analysis, Communication, Teamwork, Adaptability, Time Management