I'm a Data Scientist and AI enthusiast dedicated to building intelligent systems that bridge the physical and digital worlds. My passion lies in architecting end-to-end solutions, from processing real-time sensor data to deploying sophisticated machine learning models that drive business value and innovation. I believe in the power of data to tell a compelling story and uncover the insights that lead to impactful decisions.
- 🔭 I’m currently building end-to-end Machine Learning pipelines and exploring edge AI solutions for IoT devices.
- 🌱 I’m deepening my expertise in MLOps on Google Cloud Platform and TinyML.
- 👯 I’m looking to collaborate on open-source projects at the intersection of AI, IoT, and Data Science.
- 💬 Ask me about Python, Machine Learning, Statistical Analysis, and IoT architecture.
- 📫 Let's connect: [email protected]
- ⚡ Fun fact: I'm fascinated by how a few lines of code can predict future trends with remarkable accuracy.
Here's a snapshot of the technologies I work with. I'm always eager to learn and adapt to new tools!
| Languages & Databases | Data Science & ML | Visualization & BI | Cloud, DevOps & Tools |
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Here are a few projects I'm proud of. You can find more in my repositories.
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Developed a predictive model to forecast sales trends for an e-commerce platform. The project involved data cleaning, exploratory data analysis (EDA), feature engineering, and time-series modeling to provide actionable business insights.
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Designed and built an end-to-end IoT solution to monitor soil moisture and environmental conditions in real-time. The system streams sensor data, processes it, and triggers alerts, enabling data-driven farming practices.
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Conducted a comprehensive sales analysis for a pizza chain. I processed and cleaned raw sales data with SQL and Python, and then developed interactive dashboards in Power BI to visualize key performance indicators (KPIs) and sales patterns.
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I'm always open to connecting with like-minded professionals and enthusiasts. Feel free to reach out!