Saroj Devkota Email & Phone Number

Englewood, Co, Usa

As a Data Analyst at Comcast in Englewood, CO, since March 2023, I have leveraged Python libraries like Pandas and NumPy to perform advanced data analysis and improve data accuracy. I optimized ETL workflows, reducing data processing errors, and developed API data integration processes to expedite data retrieval. By utilizing Kafka Connect, I established real-time data streaming processes, significantly reducing data latency. I collaborated with cross-functional teams to enhance data quality, resulting in a 20% increase in report accuracy. Additionally, I optimized MongoDB database queries to improve response times and improved code quality on GitHub by identifying and resolving 30% more issues. My expertise in developing complex SQL scripts has led to increased customer retention rates.key contributions• Utilized Python libraries such as Pandas and NumPy to perform advanced data analysis, resulting in increased data accuracy.• Optimized ETL workflows, decreasing data processing errors.• Developed and implemented API data integration processes, reducing data retrieval time.• Utilized Kafka Connect to create real-time data streaming processes, reducing data latency.• Collaborated with cross-functional teams to improve data quality, resulting in a 20% increase in report accuracy.• Optimized database queries in MongoDB, reducing query response time.• Improved code quality on GitHub by identifying and resolving 30% more issues compared to previous quarter.• Developed complex SQL scripts to analyze customer data, leading to an increase in customer retention rate.

Seattle, Washington, United States

As a Data Analyst at Optum from December 2020 to February 2023, I specialized in developing ad hoc analyses, dashboards, and cyclic reports using medical data to support quality and efficiency improvements across clinical areas. I ensured data quality by diagnosing report errors and communicating effective solutions. I served as the key contact for data use and applications, addressing customized data requests and offering ad hoc analyses. I managed multiple projects in collaboration with cross-functional stakeholders, contributing to strategic initiatives to improve efficiency and program performance. My role involved providing actionable recommendations and solutions to drive operational and clinical process enhancements.key contributions• Developed ad hoc analyses, dashboards, and cyclic reports using medical data.• Supported quality, efficiency, and process improvements across clinical areas.• Diagnosed report errors, communicated solutions, and ensured data quality.• Served as the key contact for data use and applications.• Addressed customized data requests and offered ad hoc analysis.• Managed projects, collaborating cross-functionally with stakeholders.• Contributed to strategic initiatives focusing on data use for efficiency and program performance.• Provided actionable recommendations and solutions.

Seattle, Washington, United States

During my tenure at AWS as a Data Analyst from February 2018 to December 2019, I played a pivotal role in solving complex analytical challenges across the organization. I collaborated closely with Product and Business Teams, translating business requirements into actionable analytical goals. By utilizing BI tools like Tableau and QuickSight, and writing direct SQL queries, I developed robust datasets and created detailed data pipeline specifications. My communication skills allowed me to effectively present complex outcomes through various mediums. I managed multiple projects simultaneously under the BI team lead's guidance, and I consistently converted one-time analyses into reusable workflows, contributing to the broader BI Community of Practice by sharing best practices.key contributions• Collaborated with Product and Business Teams across the organization to solve complex analytical challenges using in-house tools.• Communicated complex outcomes effectively through various mediums, including analytic documents and online interactive content.• Independently managed and balanced multiple short- and long-term analytic projects under the guidance of the BI team lead.• Translated business partners' ideas and requirements into detailed and actionable analytic goals.• Developed datasets using BI tools (e.g., Tableau, QuickSight) and/or direct SQL queries from various data sources.• Created data pipeline specifications for complex data requirements and applied statistical methodologies to generate insights.• Transformed one-time analyses into reusable objects and workflows, sharing best practices with the BI Community of Practice.