Harsha Vardhan B.
Data Engineer @ Public Storage Inc
- Role
- Data Engineer at Public Storage
- Location
- Dallas, TX, US
- LinkedIn followers
- 500 followers
About Harsha Vardhan B.
I consider myself to be a diligent worker that is passionate about continuing to develop both personally and professionally.With over three years of professional experience in data analysis and expertise of Machine Learning and statistical data analysis techniques like linear models, multivariate analysis, Statistical Analysis, and Data Mining, I am a strong team player and a great communicator. I\'ve worked on a variety of academic data science projects using technologies for big data and computer languages like Python, SQL, and Github.I\'ve constructed a variety of statistical machine learning models, worked on data mining and data wrangling projects using Python, and produced a variety of visualizations using Tableau. I have academic experience in explanatory data analysis. Additionally, I excel at using statistics to tell stories and communicate. Additionally, I used analytical tools like Matplotlib and Seaborn to spot patterns and connections between various data points and come to the right conclusions.I have consistently strived for excellence throughout my working life. After earning my bachelor\'s degree, I started working as a data analyst for a significant corporation. Where my duties include updating databases, rearranging data, and deleting damaged data from the data sources. using statistical techniques to look for, analyze, and understand patterns and trends in huge, complex data sets that can be helpful for predicting and other purposes, such as diagnosis.In my personal life I spend the majority of my time to learn and experience new things. And when I am free I like to workout and cook. I enjoy being with friends and family and wish to travel the world.Currently, I am looking for implementing my skills in the Data Analyst/Business AnalyticsYou can reach out to me at h•••••••@uh.cougarnet.edu or h••••••••@gmail.com
Experience
Data Engineer
Aug 2024 — Present
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