Ankur Ojha

Senior Operations Associate (Analytics & Automation) at Commure

Based in Sunnyvale, United States

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Seniority

Other

Department

Other

Location

Sunnyvale

Industry

Hospitals and Health Care

Company size

1.5K

Contact information

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Email

1 credit

a•••••••@commure.com

Phone

5 credits

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Background

About Ankur Ojha

As a dedicated and ambitious grad student at USC; majoring in Analytics with a focus on Data Analytics, Data Science, Business Intelligence, and Data Engineering. I am passionate about leveraging data to drive meaningful insights and actionable solutions that can optimize strategies and drive business success. My academic journey and professional experiences have equipped me with a strong foundation in Data Science, Data Analysis, Time series Analysis Machine Learning, Statistical Inference, and Modeling. Skilled in Python, R, and SQL, and adept with BI tools like Tableau, Looker, and Plotly. My technical proficiency extends to big data technologies such as Hadoop, Spark, Snowflake, etc, and cloud platforms like AWS, Google Cloud, and Databricks. I excel in developing and managing data infrastructures that streamline processes and inform business strategies. I have worked as a Data Analyst Intern with Marqeta, a fintech company, where I built a centralized data repository and data pipelines with Okta workflows for a scalable analytics platform. I developed various tools and an interactive Looker dashboard, distilling insights to optimize RBAC controls and enhancing data processing efficiency by 80% through adept SQL and Python applications. I am well-prepared to pursue my career in Data Analytics, Data Science, and Data Engineering. I will apply all my knowledge and abilities from my past experience and academics to contribute as a valuable team member! Technical Proficiencies: Programming: Python (NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn), SQL, R, Bash BI Tools: Tableau, Looker, Plotly, Power BI, Excel Databases – MySQL, PostgreSQL, Hive, Mongo DB Cloud Platforms: Snowflake, GCP, DataBricks, AWS Tools/Frameworks: Hadoop, Spark, Kafka, Docker, TensorFlow, Airflow, Okta, Jupyter, RStudio, Git, JIRA

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