
DATA ANALYST
Data Analyst with a deep passion for data science. My academic journey started at the City University of New York (CUNY) Baruch College, I pursued courses in Finance, Economics and graduated Summa Cum Laude (top 5% of class). I pursued a Master's in Business Analytics specializing in Data Analytics. I took more than 10 courses on Data Mining, Machine Learning, Python, SQL, Big Data Technologies (AWS), Data Warehousing and Decision Science.My experience spans companies of various sizes, from startups to a Fortune 500 company. I have hands on experience of working in cross-functional global teams in software development and data science. My skills include hands on experience in Python, SQL, Tableau, AWS, Elasticsearch and Kibana and Snowflake. My background combines business acumen with technical skills that allows me to effectively collaborate with technical and non technical stakeholders.SKILLS & CERTIFICATIONS:
- Tools: Python, Excel, Tableau, SQL, Snowflake, Amazon Web Services, Elasticsearch, Kibana
- Libraries/Frameworks: Pandas, Numpy, Matplotlib, Seaborn, Plotly, Scikit-learn, Git, NLTK, Streamlit, DVC
- Certifications: AWS Certified Cloud Practitioner and Tableau Desktop Specialist

Ranked in the top 5% (94/1617) in PrepVector’s 15-Day SQL Challenge. Solved and optimized queries using CTEs, window functions, and subqueries, showcasing strong problem-solving and SQL proficiency.

Solved real-world data challenges in a 15-Day Python Challenge. Tackled problems across multiple domains, leveraged advanced data wrangling, data analysis and problem-solving skills in Python and Pandas.

This SQL project focuses on data cleaning and data analysis of raw laptop price dataset. Using SQL, I refined data quality and conducted exploratory analysis to uncover trends in laptop specifications and pricing.

This Python project leverages pandas and Streamlit for in-depth analysis of TV show data and explores relationships between TV show attributes such as genres, networks, languages, ratings, and status.
LET'S CONNECT!
Feel free to reach out with questions or to talk about data science! You can contact me via email or connect with me on LinkedIn using the links below.