I'm a passionate data professional with a strong foundation in statistics, data science, and operations management. Currently pursuing my MicroMasters in Statistics and Data Science at MIT and preparing for the Snowflake Core Certificate, I’m excited to explore new opportunities that leverage my skills in data engineering, analytics, and business operations. My background includes hands-on experience with tools like Snowflake, SQL, Python, and various data warehousing solutions.
- Data Engineering: SQL, Snowflake, Microsoft Access, and PX (internal tool), Alteryx
- Data Science: Python, NumPy, Scikit-Learn, PyTorch, and more
- Operations & Reporting: Automated reporting, ETL processes, and data visualization
- Project Management: Skilled in process optimization and managing end-to-end data projects
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Data Warehousing and ETL Automation:
- Tools: Snowflake, SQL, and PX
- Description: Automated data pipelines and reporting processes to replace manual tasks and improve efficiency. Addressed unique challenges in scheduling, reporting, and data transfer with Snowflake and other tools.
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Machine Learning & Model Evaluation:
- Tools: Python (Scikit-Learn, PyTorch), NumPy, Matplotlib
- Description: Developed and fine-tuned various models, such as support vector machines and neural networks, with a focus on efficient matrix handling and algorithm implementation.
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Interview Prep for Technical Roles:
- Description: Ongoing repository documenting solutions to popular interview problems, sample code for technical questions, and best practices for data handling and manipulation.
- SnowPro Core Certification: Deepening my expertise in Snowflake, particularly for data warehousing and cloud solutions.
- Data Engineering: Exploring advanced topics in data engineering to prepare for a career in this field.
- Project Development on GitHub: Expanding my repository with more projects that demonstrate my skills in machine learning, data processing, and automation.
- LinkedIn: https://www.linkedin.com/in/nargesshf/
I’m always open to connecting with other data professionals and discussing new ideas. Reach out if you’re interested in collaboration or just want to say hi!