Sandra Perea

Professional Background

Sandra L. Perea is an accomplished Data Science Manager with over twelve years of experience specializing in quantitative analysis and data-driven decision-making. Sandra's extensive expertise is anchored in her passion for employing statistics, machine learning, and analytical methodologies to derive meaningful insights from large datasets. Her career has spanned multiple industries, allowing her to develop a rich skill set that combines technical knowledge with practical applications in various business contexts.

Throughout her career, Sandra has been dedicated to navigating complex data environments with a hands-on approach, utilizing the latest data analytics tools and technologies. Her agility in working with vast amounts of data ensures that she is not just a consumer of data but an insightful analyst who can uncover hidden patterns, infer conclusions, and provide actionable recommendations to drive organizational growth.

Sandra is recognized for her critical thinking abilities and her tenacity in problem-solving. With an insatiable curiosity focused on all things related to Big Data, she effectively leads teams in delivering high-impact insights that enhance strategic decision-making and operational efficiency. Sandra's proactive attitude and effective communication skills have cemented her reputation as a natural leader within her teams, facilitating collaboration and innovation.

Education and Achievements

Sandra's academic journey is as impressive as her professional endeavors, with multiple advanced qualifications from prestigious institutions. She began her studies at Universidad del Pacífico, pursuing Economics and Applied Economics, which laid the groundwork for her analytical abilities.

Her academic accolades include a Bachelor of Science in Information Systems and Management from The London School of Economics and Political Science (LSE) and a Master’s degree in Information Systems Security from Royal Holloway, University of London. Additionally, Sandra has pursued numerous advanced courses aimed at enhancing her expertise in data science and analytics, such as the Data Science at Scale Using Spark and Hadoop certification from Cloudera and an Oxford Blockchain Strategy Programme at Saïd Business School, University of Oxford.

Sandra further honed her skills in behavioral analytics and quantitative psychology through rigorous programs at the University of Cambridge. Her commitment to lifelong learning is evident in her series of certifications from the Massachusetts Institute of Technology (MIT), which include topics such as Big Data, Social Analytics, and Cybersecurity.

Her extensive educational background not only demonstrates her commitment to her field but also reflects her ability to navigate various aspects of data science and analytics effectively.

Career Progression

Sandra's professional journey boasts a robust array of roles, each contributing to her growth as a leader in data science.

• Currently serving as the Data Science and Advanced Analytics Manager at Nike, Sandra is responsible for steering strategic analytics initiatives and harnessing the power of Big Data to inform business strategies. In this capacity, she leads cross-functional teams of data scientists and analysts, fostering a culture of innovation and relentless improvement.

• Prior to her role at Nike, Sandra made significant contributions as the Lead Data Scientist at Hewlett Packard Enterprise, where she led analytics projects that enhanced product marketing strategies and operational efficiencies.

• At merQbiz, she served as the Lead Data Scientist and Head of Marketing and Product Analytics, allowing her to synergize her technical skills with business acumen, ultimately driving revenue growth through data-informed decision-making.

• Building on her expertise, Sandra also held the position of Data Scientist in Marketing Analytics at Capital Group, where she utilized predictive analytics to identify market trends and consumer behaviors, providing critical insights that influenced business development.

• In her previous role at Unilever as a Senior Data Scientist, she worked extensively on web, direct, and behavioral analytics, developing projects that utilized machine learning to optimize marketing campaigns and enhance customer engagement.

• Sandra's career began as a Data Scientist at Soothe, where her foundational work in data analysis paved the way for her advanced roles in larger organizations.

Technical Skill Set

Sandra possesses a comprehensive suite of technical skills that supports her role in data science and analytics. Her expertise spans various advanced analytical techniques, including but not limited to data mining, machine learning, predictive analytics, and data visualization. Sandra is proficient with tools and technologies that are at the forefront of data analytics, including:

• Programming Languages: R and Python for statistical computing and data analysis; SQL and NoSQL for database management; and statistical tools like SAS.
• Data Tools and Frameworks: Apache Spark for big data processing, Tableau for data visualization, Google Analytics for web analysis, and various platforms such as Oracle BI, Teradata, and Datameer.
• Analytical Techniques: Mastery in applying methodologies such as linear regression analysis, time series forecasting, and cluster analysis to derive insights and support strategic initiatives across different projects.

Sandra’s extensive knowledge and hands-on experience in natural language processing (NLP), recommendation systems, and econometric modeling empower her to tackle real-world problems effectively, making her a valuable asset to any organization.

Achievements

Sandra’s professional achievements are a testament to her capability and commitment within the field of data science. Her track record speaks volumes, marked by the successful projects she has led and the significant outcomes she has achieved:

1. Enhanced Business Strategies: By implementing predictive analytics, she successfully shaped vital marketing strategies and operational efficiencies across multiple organizations.
2. Leadership in Advanced Analytics: Under Sandra's guidance, her teams at Nike and Hewlett Packard Enterprise have consistently met and exceeded project benchmarks, garnering recognition for their innovative approaches to data challenges.
3. Training and Mentorship: Sandra is also committed to nurturing the next generation of data scientists, mentoring aspiring talent while promoting a collaborative work environment that encourages creativity and knowledge sharing.
4. Continuous Learning and Adaptation: As evidenced by her extensive educational background, she embodies the spirit of continuous learning, positioning herself at the forefront of the rapidly evolving field of data analytics.

In conclusion, Sandra L. Perea stands out as a seasoned Data Science Manager with a proven record of leveraging data to drive strategic business decisions. Her extensive education, vast technical skill set, and rich professional experience bolster her reputation as a leader in her field. A true advocate for the power of data, Sandra continues to inspire those around her while pushing the boundaries of what data can achieve in today’s global market.