I am a Data Analyst/Data Engineer and budding Data Scientist helping organizations harness the power of data. I have work experience of 3+ years across geographies in advertising(AdTech) and manufacturing domain.
- 🎓 I graduated with Masters in Data Science from Pace University in December 2023
- 👀 I’m currently looking out for full-time opportunities where i could apply my technical and functional skills to drive actionable results using data
- 📫 How to reach meLinkedIn
- 📈 Check out my data portfolioPooja Patel's Portfolio
I am proficient in Data Analytics and Machine Learning concepts and demonstrate a background in Python, SQL, Snowflake, AWS and Tableau.
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- Supply-Chain-Analytics
Supply-Chain-Analytics PublicThis is a supply chain analytics project using Python, Tableau. In which conducted an analysis of supply chain inefficiencies, and developed informative dashboards to inform business stakeholders o…
- Marketing-Analytics
Marketing-Analytics PublicThis is a Campaign Marketing Analytics Project using Tableau. Conducted an analysis of a 5-month Paid Search Campaign at a US shopping mall during 2021, with a primary focus on optimizing conversio…
- Optimizing-Retail-Company-Revenue-Using-SQL
Optimizing-Retail-Company-Revenue-Using-SQL PublicThis is a data analysis project using Advance SQL. In which analyzing product data to optimize the revenue of online sports retail company.
- Time-Series-Stock-Price-Prediction
Time-Series-Stock-Price-Prediction PublicThis is a Time-Series Data Science Project of creating a trading strategy (buy or sell stock) analysis based on historical values.
Jupyter Notebook 2
- Golden-Years-for-Video-Games
Golden-Years-for-Video-Games PublicThis project explores video game sales data from 1977 to 2020 using PostgreSQL. Which will explore the golden age of video games for all the time.
Jupyter Notebook
- Arvato-Bertelsmann-Customer-Segmentation-Project
Arvato-Bertelsmann-Customer-Segmentation-Project PublicThis is a Data Capstone project, Supervised and Unsupervised Learning Algorithms are used to characterize the customer segment of the population and predict customers for Arvato Financial Solutions.
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