Applied Scientist Intern





Strengths

       
Innovative Problem Solver

Frequently developed creative solutions during team projects, garnering recognition for impactful ideas.

Collaborative Team Player

Diverse teams appreciated my inclusive approach encouraging open dialogue enhancing project dynamics.

Effective Communicator

Wrote technical documents clarifying complex topics, ensuring mutual understanding across both experts and laypersons.

Analyze Data Expert

Utilized various frameworks dissecting outcomes from experiments, enabling coherent strategy development amid ambiguity.

Adaptable Learner

Eagerly embraced new programming languages, producing swift translations across platforms assisting peer clarification.

Skills

       
  • Java
  • Python
  • C++
  • Data Mining
  • Statistics
  • Algorithms
  • Machine Learning
  • Deep Learning
  • Statistical Analysis
  • Project Management
  • Teamwork
  • Data Visualization
  • Problem Solving
  • Experiment Design
  • Technical Writing
  • Collaboration

Languages

       
English
Native
40
Spanish
Proficient
30

My Career

    
9Months
  • Research Intern at Tech Innovations Inc. (2 Months)
  • Capstone Project Leader at University of Illinois (4 Months)
  • Programming Assistant at Coding Academy (3 Months)

Summary

Innovative, analytical, and collaborative master's student pursuing opportunities in applied science at Amazon. With strengths in machine learning, programming, and statistical analysis, I deliver impactful solutions to complex problems. Proven ability to work amidst cross-functional teams while developing algorithms and technical documentation. Eager to leverage my skills through hands-on experience in an internship role with Amazon Science, contributing toward cutting-edge projects for societal impact.

Experience

Research Intern

Tech Innovations Inc.    June 2023 - August 2023    Springfield, IL

Designed algorithms and executed experiments fostering profound insights in machine learning applications. Collaborated within diverse groups fostering creativity revealing data-centric strategies that address intricate business challenges.

  • Spearheaded a project deploying machine learning models integrating several algorithms for optimal effectiveness.
  • Facilitated meetings garnering input from peers, aiding exchange of creative solutions essential to project success.
  • Authored detailed white papers articulating research findings, augmenting departmental communications with clear technical insights.
  • Investigated key performance metrics, employing statistical analyses identifying areas for improvement in current protocols.

Capstone Project Leader

University of Illinois    January 2022 - May 2022    Champaign, IL

Led a cohort in devising software prioritizing application of advanced analytics focusing on data mining techniques. Managed timelines efficiently ensuring continuity and precision throughout stupefyingly detailed processes.

  • Coordinated collaborative efforts among team members assuring individual contributions resonated cohesively toward target objectives.
  • Initiated feedback loops engaging advisory panels encapsulating dynamic adjustments based on critical evaluation of proposals shared.
  • Directed presentations showcasing results emphasizing innovation nurtured by multifaceted teamwork.
  • Implemented comprehensive testing methods validating hypotheses whilst gathering quantitative and qualitative data crucial to assessment.

Programming Assistant

Coding Academy    September 2021 - December 2021    Chicago, IL

Enhanced students' understanding of coding principles, applying languages such as Python and Java while exploring core computing philosophies. Fostered a supportive environment enhancing readiness to tackle real-world computing issues.

  • Guided aspiring coders through intricate concepts, transforming perceptions into fluency addressing practical applications successfully.
  • Produced instructional material contributing vividly to curriculum reinforcing conceptual know-how inaccessible otherwise.
  • Monitored progress customizing approaches to suit varied aptitude hence boosting engagement, lively discussion blossomed around technical queries.
  • Stimulated interest in pioneering technologies driving learners forward instilling enthusiasm for ongoing exploration beyond coursework offered.

Projects

Machine Learning Experimentation    April 2023

Conducted extensive trials, proving accuracy of algorithms on various datasets. Developed improvements using self-generated code.

Data Mining Analysis Project    November 2022

Executed detailed analysis assessing typical customer behaviors leading to model refinements attuned to emerging trends.

Portfolio

Title: Academic Portfolio
Link: Remote
Description: Showcases academic projects detailing methodologies, designs, and outcomes deployed during education.

Leadership & Awards

  • Dean's List - University of Illinois (2021)
  • Winner - Hackathon Challenge (2022)
  • Outstanding Project Award - Capstone Course (2022)

Education

Master's Degree in Computer Science
University of Illinois    2025    Champaign, IL     GPA:
Bachelor's Degree in Computer Science
University of Illinois    2023    Champaign, IL     GPA:

Certifications

  • Certified Data Scientist - June 2024, Data Science Council
  • CompTIA Security+ - August 2024, CompTIA

Technical Skills

  • Programming Languages: Java, C++, Python
  • Machine Learning Techniques: Decision Trees, Neural Networks, Regression Analysis
  • Tools and Platforms: TensorFlow, Jupyter Notebook, Scikit-learn
  • Development Methodologies: Agile, Scrum, Kanban
  • Statistical Software: R, SAS, SPSS
  • Database Management Systems: MySQL, PostgreSQL, MongoDB
  • Version Control Systems: Git, SVN, GitHub
  • Project Management Tools: Trello, Asana, Notion
  • Visualization Tools: Tableau, Power BI, Matplotlib
  • Research Frameworks: LaTeX, Overleaf, Mendeley

Professional Affiliations

  • Member, Graduate Student Association (2022 - Present)
  • Volunteer, Local Coding Bootcamp (2021 - Present)

References

Available on Request