Data Analyst

Summary

I recently graduated from Pace University's Seidenberg School, where I honed my skills in programming languages, databases, and tools such as SQL and data visualization. During my internship at UPS, I collaborated with a team to optimize shipment routes, resulting in a substantial improvement in warehouse operations. I also led the analysis of transport data, which led to a decrease in delivery times and cost savings. As a project manager for QuickFeed, I successfully coordinated a team in developing and launching an online rating system, significantly increasing customer engagement. Additionally, my role as team lead for Weather Data Prediction allowed me to develop accurate forecast models with a 97% accuracy rate in predicting 6-month temperature forecasts.

What sets me apart is my ability to synthesize complex data and transform it into actionable insights. I have extensive experience with SQL, A/B testing, statistical analysis, and data visualization tools such as Looker and Tableau. My proficiency in Python and R further enhances my analytical capabilities. I am confident in my ability to analyze internal and external data, identify gaps and opportunities, and develop effective strategies to drive growth and value for Envisage.

Beyond my technical skills, I am a strong communicator and collaborator. I have experience working in fast-paced and dynamic environments, and I thrive in ambiguity. My ability to clearly and confidently communicate both verbally and in writing enables me to effectively convey qualitative and quantitative results to cross-functional teams and partners. I am a problem solver who constantly seeks opportunities for improvement and growth, and I can assert influence both internally and externally to drive positive outcomes.

Expectations

I want to learn and grow with the new role. I want to help the company increase the revenue and potential customers.Want to work in a team , build the project together and learn new things from fellow team members.

Employment Preferences
Expected Base Salary

**,000 USD

Expected Hourly Rate

** USD/hr

Academic Degree
Experience

Total Professional Experience

1 year

Startup Experience

no experience

Big-Tech Companies

no experience

Enterprise Experience

no experience
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