Welcome to my GitHub! I am a passionate Software Engineer specializing in AI/ML powered products, with a knack for solving problems through data-driven insights. Whether it's exploring the depths of data, building machine learning models, or visualizing stories, you'll find me immersed in the world of data science and analytics.

• 🎓 New Grad: Artificial Intelligence.
• 💻 Professional Role: Software Engineer @Fix-It 24/7 | Teaching Assistant for Python & Polars.
• 📍 Location: Boston, enjoying its beautiful architecture and rich history(Flexible to Relocate!!).
• 🌍 Passion: Making a difference in individuals' lives through impactful projects.

• Software Engineer @Fix-It 24/7: Integrated external fintech APIs for real-time portfolio analytics, streamlining client reporting workflows for wealth management products.
• Teaching Assistant for Python & Polars: Guiding students in mastering data manipulation and analytics for marketing.
• City of New York's Data Science Department: Analyzed NYC noise complaints to provide actionable insights for city planners.
• Mapping Specialist for Spatial Data Projects: Created thematic maps using Tableau to visualize spatial health and environmental data.

• 🥇 Ranked World No.1️⃣ SQL Developer (Practice) on Hacker Rank.
• 🥈 Achieved Silver Medal during NeuroHack by building a BERT model to understand service ticket descriptions and later using HDBSCAN for automated ticket categorization.
• 🥉 Earned Bronze Medal in Kaggle Competition to predict student drop-out rates using machine learning models like logistic regression and random forest, later employing hyperparameter tuning to enhance performance.

• Data Analysis: Python (Pandas, Polars), SQL, Power BI, Tableau.
• Machine Learning: Scikit-learn, TensorFlow, Computer Vision.
• Data Visualization: Plotly, Matplotlib, Seaborn.
• Cloud & DevOps: AWS (EC2, S3, CI/CD Pipelines).
• Experiment Tracking: MLflow for model tracking and registry.
• Blockchain Development: Post-conditions for Stacks (STX), Solana, Polygon.

• ⚖️ Auto_ML_Agent: Build Machine Learning Pipelines with AI.
• 🍕 Pizza_Ordering_Website: Full-Stack Application for ordering pizza.
• 🌊 Hotel_Reservation_Prediction: End-to-End MLOps project to predict whether customer will cancel the reservation.
• 🗺️ Thematic Maps with Tableau: Spatial data visualization using NHANES.
• 📊 Noise Pollution Analysis: NYC dataset analysis with compelling storytelling.

• Data Science for Social Impact.
• Enhancing Machine Learning Pipelines.
• Real-time Analytics and Dashboards.

• LinkedIn: linkedin.com/in/nikhildoye
• Email: doye.n@northeastern.edu

When I’m not analyzing data, you’ll likely find me experimenting with recipes in the kitchen or exploring the hidden gems of Boston. Data and good food are my favorite combinations!

Let's collaborate and create something amazing together!