Glad to see you here! I'm Shawaiz Akhter, a Data Scientist with a strong passion for Stats and Machine Learning! With a knack for building Machine Learning Models, I balance code with hobby flying πΈ and find peace in a sip of tea π΅ and reading ποΈ.
Previously, I was building data piplines and using machine learning to forecast at Janes as a Data Analyst. My notable contributions at Janes include building Intara and JDET. You can find me at @Shaw1390 for my work in Janes.
- π Global Defense Budgets: Insights from Historical Trends and Economic Factors
- π Saronic introduces Corsair for Pentagon DIU's Replicator programme
- π©οΈ SJCE Aero-modelling Club takes part in SAE Aero Design contest in USA
- π Milepost: From a GitHub User to a GitHub Star
- π Cash vs. Card: How Payment Methods Impact Uberβs Revenue
Apart from the pinned repositories, I have built:
- π‘οΈ Layoffs Exploratory Data Analysis
- π US-Military-Budget-Forecast.
- π New York City's Yellow Taxi Data Engineering Project
- π Uber Cash vs Card Hypothesis Project blogs*
I mostly work with Python, specifically libraries Pandas, Numpy and Scikit-Learn in the backend with Azure as the cloud and Kafka as the queuing system. Recently, I have been tinkering with AWS.
Explore my thoughts at Shawaiz.com, and let's connect on π (Twitter) and LinkedIn.
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