A Data Science Engineer & AI/ML Enthusiast passionate about building intelligent, scalable solutions and extracting actionable insights from complex data.
- 🎓 Currently pursuing my B.Tech, focusing on Python, Machine Learning, and Big Data technologies.
- 💡 Recently completed the Tata iQ Data Analytics Simulation and Google Cloud Gen AI Academy 2.0 learning tracks.
- 📜 Recently completed courses on Anthropic's Claude Chat, Cowork, and Claude Code
- 🎯 Currently building full-stack applications and NLP-driven models.
- 💼 Open to Summer 2026 Data Analyst, AI Engineering, and Data Science internship/job opportunities.
- ⌛ Actively solving problems on LeetCode and HackerRank
- 🧩 Building my skills with enthusiasm and dedication — trying to solve real problems and make the world a better place.
Languages: Python, SQL, JavaScript, HTML/CSS AI & Data Science: Artificial Intelligence, Machine Learning, NLP, Scikit-Learn, Pandas, NumPy Cloud & DevOps: AWS, Google Cloud Platform (GCP), Git, GitHub Tools: VS Code, Jupyter Notebook
Developed an end-to-end predictive modeling system to identify high-risk customer segments. Leveraged extensive Exploratory Data Analysis (EDA) and machine learning algorithms to uncover trends and improve retention strategies.
Built a content-based recommendation engine utilizing Natural Language Processing (NLP) techniques to analyze item features and personalize recommendations, enhancing the overall user experience.
Developed a machine learning regression model to accurately forecast real estate prices based on property attributes. Conducted extensive data cleaning, feature engineering, and exploratory data analysis (EDA) to optimize model performance.
Completed a self-paced, AICTE-approved virtual internship focusing on practical Python application development. Key project deliverables included:
- Voice Assistant: Developed a functional Python application (
main.py) that takes voice commands and responds — including opening GitHub, YouTube, a browser, and searching the web. - BMI Calculator: Built an interactive application (
bmi_app.py) to calculate Body Mass Index, processing user inputs for immediate, accurate health categorizations. - Secure Password Generator: Engineered a customizable password creation tool (
password_generator.py) that generates robust, randomized security keys based on user-defined length and character parameters. - Weather Updates: Designed and implemented a Python application to fetch real-time weather reports for a city, with a clean, user-focused UI.