Data Scientist/Data Analyst/AI/ML Engineer/Research Analyst

Data Science & Research Mountain View, California, United States

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Summary

I am a results-driven data scientist with a comprehensive professional background spanning both academic and industry settings. During my tenure as a Data Scientist Intern at Pathloom, I successfully streamlined ETL operations by implementing an advanced data transformation pipeline using Google BigQuery, resulting in a remarkable 50% increase in data processing efficiency. I automated intricate data workflows using Apache Airflow, driving efficiency gains in data extraction, transformation, and loading processes.

My collaborative efforts with cross-functional teams at Pathloom led to the implementation of A/B testing methodology, resulting in a noteworthy 25% improvement in click-through rates and a 12% increase in revenue for the recommendation system. I effectively communicated complex data findings through interactive visualizations using Power BI. Utilizing JIRA and Git, I ensured adherence to Agile practices and maintained a well-organized codebase for efficient collaboration with the development team.

In a prior role at Prompt Softech, I managed projects focused on predicting farmers' churn behavior and fraud detection in the dairy industry. Through the application of machine learning algorithms and proficiency in SQL, statistics, and cloud computing platforms (AWS and GCP), I achieved significant results, including a 45% reduction in churn. I published a research paper at an international conference too based on this project.