As an experienced analyst, I have 3 years experience in collecting and cleaning data, reviewing and generating reports, analyzing metrics, and collaborating with cross-functional teams to identify opportunities for process improvement. Through time, I have cultivated my skills, including Python, SQL, AWS, Tableau, R Studio. With a strong background and experience in data analytics, I am confident in my ability to help your teams better.
With a Master's Degree in MBA, I learn to consider the problems from business perspective and proficient in MS Office tools. And ongoing pursuit of a data analytics degree at Northeastern University, I possess a comprehensive understanding of IT processes and the data lifecycle.
Hope I could have a chance to utilize this expertise, contributing meaningfully your business!
Master's degree in MBA and Data Analytics. Analyzing problems from a business perspective
Had demonstrated experiennces in Tableau, Python, Excel, R, and SQL
Creating visually appealing dashboards that effectively present data
Actively listening to colleagues, communicating ideas, and providing feedback
Sarasota County GovernmentFire Research Statistician, Jan 2024
• Conduct research projects by establishing research methodology, conduct analysis, and produce summary findings from fire department data sources.
• Perform a variety of research functions separate from statistical analysis, including research articles, legislative histories, and other types of information that impact department functions.
• Produce regular analytical and informational reports such as emergency incident performance in accordance with industry and county standards, etc.
• Provide position and decision support for strategic planning & accreditation.
• Provide data to substantiate public policy position of concern to external governmental bodies and the media.
• Develop and maintain planning databases (python , Git version control, sql, .NET ) & resource collection.
Senda BiosciencesPeople Data Analytics, Dec 2022 - July 2023
• Built ad-hoc reports and interactive dashboards using Excel and Tableau, applying DAX and Pivot Tables to
provide actionable insights for data-driven decision-making, presenting in executive meetings.
• Conducted Correlation Fallacy Analysis, improving data accuracy by 15% and decision-making efficiency by
10%.
• Utilized Python for Regression Analysis, designing predictive models to forecast employee attrition.
• Used Regression Analysis to develop predictive models to forecast employee attrition and inform retention strategies.
• Maintained and reviewed HR data on BambooHR and SAP SuccessFactors, ensuring data integrity and
accuracy.
• Implemented data privacy measures to ensure strict confidentiality in handling sensitive HR data.
Pooja Packaging (Supply chain Firm)Supply Chain Analysis,March 2019 - July 2021
• Created dashboards in Excel, deploying Pivot Tables, to provide actionable recommendations based on data
analysis to drive informed decision-making during pandemic.
• Collaborated with cross-functional teams to examine data, generating reports & actionable insights, leading
to a 10% reduction in warehouse costs and a 15% improvement in operational efficiency.
• Performed Random Forests algorithm using Python to generate demand forecasts by reviewing historical
data and market trends to reduce overstocking and minimize unnecessary storage expenses.