Results-driven and detail-oriented Data Scientist with good experience in extracting actionable insights from complex datasets. Proven expertise in utilizing advanced statistical methods and machine learning algorithms to solve real-world problems. Adept at interpreting and analyzing data to drive business decisions.
Welcome to my GitHub repository! Explore a diverse collection of projects showcasing my expertise in data science and business analytics. From customer segmentation to predictive maintenance, each project demonstrates my skills in data analysis and machine learning.
- Description: Developed a machine learning model to segment customers based on their behavior, enabling targeted marketing strategies.
- Technologies Used: Python, scikit-learn, pandas, matplotlib
- Link to Repository: Customer Segmentation Project
- Description: Implemented a predictive maintenance solution for manufacturing equipment, reducing unplanned downtime and optimizing maintenance schedules.
- Technologies Used: Python, TensorFlow, SQL
- Link to Repository: Predictive Maintenance Project
- Description: Conducted a comprehensive market basket analysis to optimize product placement and increase cross-selling opportunities.
- Technologies Used: Python, pandas, Tableau
- Link to Repository: Market Basket Analysis Project
Inspiration strikes in unexpected moments. This section contains insightful notes, quotes, and observations related to data science, analytics, and the ever-evolving world of technology. Feel free to explore and find your own source of motivation!
Looking for a more detailed overview of my professional background? Find my resume here:(https://github.com/anuppin/Resume_Anup_Uppin/blob/main/Anup%20Uppin.pdf))
python -m venv venv
source venv/bin/activate # On Windows, use venv\Scripts\activate
pip install -r requirements.txt