Data Scientist & Python Developer
I'm an aspiring Machine Learning Engineer and Data Scientist with a passion for building intelligent, data-driven systems that solve real-world problems.
My expertise spans Python, Machine Learning, and Data Analytics. I enjoy crafting predictive models and insightful dashboards that turn raw data into actionable intelligence.
Currently pursuing my B.Tech in Computer Science & Engineering at Lovely Professional University, I'm always exploring new challenges at the intersection of AI and Software Engineering.
Pandas · NumPy · Scikit
Scikit-learn · XGBoost
Tableau · Power BI · SQL
TensorFlow · Keras
Consistent problem-solving across Arrays, DP, Trees, Graphs & Strings.
Practiced core CS concepts including OS, DBMS, and algorithmic thinking.
Pursuing a comprehensive CSE program with a focus on AI, Machine Learning, and Data Science. Active participant in technical clubs and hackathons, building real-world projects in ML and analytics.
Completed higher secondary education with a strong foundation in Physics, Chemistry, and Mathematics, cultivating an analytical mindset for engineering and problem-solving.
Completed secondary education with a strong foundation in core subjects, developing fundamental knowledge and study skills essential for higher education.
Mastered deep learning fundamentals including neural networks, activation functions, and model architectures for regression and classification tasks.
Covered essential machine learning concepts including supervised and unsupervised learning algorithms, model evaluation, and validation techniques.
Demonstrated expertise in building and managing end-to-end machine learning solutions using Oracle Cloud Infrastructure services.
Gained expertise in building web applications with Flask, including RESTful APIs, routing, templates, and database integration.
I'm actively looking for ML Engineer and Data Scientist opportunities. Whether it's a full-time role, an internship, or a collaboration — let's connect!