Frieda Zheng

As the founder of BRIGHTPINK, a startup specializing in press-on nails, I have been actively engaged in data-driven decision-making and operational management, particularly in the following areas:

- Product Selection Analysis: I played a pivotal role in product selection by leveraging data-driven insights. This involved collecting and analyzing supply chain data to optimize inventory management strategies, ensuring timely product availability, and reducing inventory costs. I utilized data visualization tools and SQL for data mining to identify the best suppliers and maintain optimal inventory levels.

- Billing Analysis: I took charge of managing the company's financial processes, including tracking bills and expenses. I used Excel and data analysis tools to formulate financial budgets and expense plans while monitoring the company's financial health. These data-driven insights informed financial strategies and ensured sustainable growth.

- Data-Driven Decision-Making: Throughout my entrepreneurial journey, I deeply understood the critical role of data in business success. I frequently collaborated with the team to use data for guiding decisions related to product development, market positioning, and sales strategies, ensuring that our products met customer needs and maintained a competitive edge.

These experiences have equipped me with the ability to apply data science skills and methodologies to real-world business scenarios, solving complex business problems through data analysis and insights. I look forward to bringing these skills and experiences to your data science team to create greater value for your company.

During my tenure as a Venue Technician at the Beijing Winter Olympics, I played a critical role in ensuring the smooth operation of hardware equipment, including the deployment and maintenance of smartwatches used for health monitoring. Given the challenges posed by COVID-19, these smartwatches were instrumental in conducting temperature checks and health monitoring for venue personnel. Key Responsibilities and Achievements:

- **Data Accuracy Analysis:** I was responsible for monitoring and analyzing the data generated by the smartwatches to ensure the accuracy of temperature measurements and other health-related data. I developed data validation procedures and conducted regular audits to identify and address any anomalies or discrepancies. My efforts contributed to maintaining a high level of data accuracy, which was crucial for health and safety protocols.

- **User Engagement Analysis:** To optimize the use of smartwatches and encourage compliance among venue personnel, I conducted user engagement analysis. By tracking user interactions and usage patterns, I identified areas for improvement in user training and support. This data-driven approach helped enhance user satisfaction and adherence to health monitoring protocols.

- **Technical Support:** In addition to data analysis, I provided on-site technical support, troubleshooting hardware issues, and ensuring the continuous functionality of the smartwatches.

My ability to quickly diagnose and resolve technical issues played a vital role in minimizing disruptions during the event. My experience at the Beijing Winter Olympics equipped me with valuable skills in data analysis, data quality assurance, and user engagement optimization. I learned how to harness data to enhance safety measures and improve user experiences. I am excited to leverage these skills and insights in a Data Scientist role to drive data-driven decision-making and contribute to the success of your organization.

As a Talent Acquisition Intern at Keep Inc., a publicly-listed company in Hong Kong, I played a pivotal role in building high-performing engineering teams. My responsibilities encompassed various aspects of the recruitment process, including resume screening, communication with team leaders to understand position requirements, scheduling candidate interviews, and following up on interview outcomes.
Key Achievements and Responsibilities:
- **Data-Driven Recruitment:** I leveraged data analytics to streamline and optimize the recruitment process. I implemented data-driven strategies for resume screening, identifying key qualifications and skills necessary for each role. This approach not only increased the efficiency of candidate selection but also improved the quality of hires.
- **Team Collaboration:** Effective communication with cross-functional teams was a cornerstone of my role. I regularly collaborated with engineering and department heads to define job specifications, align on hiring needs, and ensure that candidates met technical requirements. This required strong teamwork and the ability to translate technical requirements into actionable recruitment strategies.
- **Recruitment Data Analysis:** To continuously improve our recruitment process, I conducted data analysis on various recruitment metrics, such as time-to-fill, candidate pipeline, and offer-to-acceptance ratios. These analyses allowed us to make data-informed decisions, optimize our hiring strategies, and identify areas for improvement.
- **Candidate Experience:** I ensured a positive candidate experience by managing interview logistics, providing timely feedback to candidates, and addressing any questions or concerns. This approach contributed to a positive employer brand and increased candidate retention.
My experience at Keep Inc. allowed me to merge my passion for data-driven decision-making with my talent acquisition expertise. I understand the significance of data in optimizing recruitment processes, and my ability to work collaboratively with teams and analyze recruitment data positions me as a valuable asset to any organization seeking to make data-centric hiring decisions. I look forward to contributing these skills to your Data Scientist team to drive actionable insights and enhance your talent acquisition strategies.