Melisa Esqueda
Data Analyst | Educator
About Me
I am a passionate Data Analyst dedicated to leveraging data to solve real-world problems. My journey began at Stanford's LEAP program, where I developed a community-based project by creating a targeted survey that analyzed various stress triggers, ultimately leading to a tailored stress management event for students at Antioch High School. This experience underscored the transformative power of data and led to my completion of the Stanford LEAP Program with distinction.I hold a Bachelor's degree in Applied Mathematics: Data Science from UC Berkeley and have further honed my skills through a data analytics fellowship at COOP. Over the past three years, I have taken on diverse roles, including Modules Developer at UC Berkeley, where I collaborated with educators to design engaging data science lessons, and Clinical Data Analyst Intern at Penumbra (via TCWGlobal), where I utilized Python and Excel to streamline data processes for clinical trials.Additionally, my experience as a General Math Teacher at Sylvan Learning has enabled me to effectively convey complex concepts to diverse audiences. I believe strong communication is vital for successful data-driven decision-making.I am committed to continuous learning and staying updated on the latest trends in data analytics. I thrive on collaboration and am always eager to connect with fellow professionals to drive impactful projects together.
Skills
Python | R | Excel | SQL | Tableau | Power BI | Jupyter
Data Visualization: 3+ years
Data Analytics: 3+ years
Report Development: 3+ years
Strong problem-solving and critical thinking skills
Effective communicator and collaborative team player
Creative thinker with a passion for exploring innovative solutions
Featured Projects
CIVENG-190: Civil and Environmental Engineering Course
Collaborated with a team to create an interactive Jupyter Notebook that equips civil engineering students with data science methods to analyze societal inequalities in air pollution and energy access, fostering their skills in data-driven decision-making and awareness of environmental justice.
Air Quality Project
Developed a Jupyter Notebook with a team for Berkeley Modules, teaching students how PurpleAir sensors function and empowering them to analyze air quality patterns through data analysis.
Education
COOP Careers | Data Analytics Fellowship
UC Berkeley | B.A. Applied Mathematics: Data Science
Certifications
Google Data Analytics Professional Certificate |
Issued November 2022
Master SQL For Data Science Certificate |
Issued October 2022
Featured Awards
UC Berkeley Departmental AwardJanuary 2022
Received an award for contributions to the air quality project for the UC Berkeley modules team, with contributions presented at the data science grantee exhibition hosted by Lucas Education Research.
The President's Volunteer Service AwardJune 2018
Received the Bronze Edition award for volunteering over 137 hours at the American Red Cross.