Welcome to my GitHub! I'm a passionate Data Scientist 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.
- π Currently Pursuing: Advanced Data Analytics and Machine Learning.
- π» Professional Role: Data Analyst Intern @ Fix-It 24/7 | Teaching Assistant for Python & Polars.
- π Location: Boston, enjoying its beautiful architecture and rich history.
- π Passion: Making a difference in individuals' lives through impactful projects.
- Data Analyst Intern @ Fix-It 24/7: Leveraging Power BI and advanced analytics to optimize business processes.
- 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.
- π₯ Ranked World No.1οΈβ£ SQL Developer (Practice) on Hacker Rank.
- π₯ Achieved Silver Medal during NeuroHack by building a BERT model to understand service ticket descriptions and later using HDBSCAN for automated ticket categorization.
- π₯ 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.
- βοΈ Gender_Payment_Disparity: Data Analysis about payments in healthcare domain.
- π Pizza_Ordering_Website: Full-Stack Application for ordering pizza.
- π Reef Classification Model: Computer vision model for detecting reef health.
- πΊοΈ Thematic Maps with Tableau: Spatial data visualization using NHANES.
- π Noise Pollution Analysis: NYC dataset analysis with compelling storytelling.
- Data Science for Social Impact.
- Enhancing Machine Learning Pipelines.
- Real-time Analytics and Dashboards.
- Portfolio: nikhil-doye.github.io
- LinkedIn: linkedin.com/in/nikhildoye
- Email: [email protected]
When Iβm not analyzing data, youβll 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!