About me!

Data-Driven Professional with Infrastructure and Analytics Expertise

Summary

Highly motivated and results-oriented professional transitioning into the data analysis field. Leveraging 15+ years of IT infrastructure experience and a Master of Science program in Data Analytics with a specialization in Machine Learning and Data Visualization.  Skilled in data cleaning, analysis, and visualization using Python (pandas), SQL, Power BI, and Jupiter Notebooks. Proven ability to collaborate with data scientists on machine learning projects and translate complex data findings into actionable business recommendations. Extensive IT infrastructure background ensures a strong understanding of data security, storage, and accessibility. 

Technical Skills

• Data Analysis: Familiarity with data analysis methodologies, statistical software,  (potential to mention specific ones from your program).

• Machine Learning: Exposure to machine learning concepts and algorithms, Including Deep Learning Models.

• Data Visualization: Proficient in data visualization tools like Power Bi,  Matplotlib, seaborn, Dashboard with Dash.

• Programming: Experience with Python for data Analysis and Data Science.

• Databases: Familiarity with SQL Server, Oracle, Mysql, NoSql Solutions and DataBricks.

• Data Pipelines & Automation: Understanding of data pipeline concepts and tools used to automate data ingestion, transformation, and delivery.

• Containerization: Familiarity with Docker containers for building and deploying data processing applications.

Infrastructure Expertise

• 15 years of experience in various IT roles (IT Infrastructure Manager, IT Coordinator, Technical Support Analyst) highlights your ability to manage complex systems and translate technical concepts into clear communication.