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Simona Tso
Machine Learning Engineer at Aviva Canada
Professional Background
Simona Tso is a passionate data scientist and software developer who expertly navigates the world of data analytics with a remarkable skill set. She turned a childhood experience of completing numerous Kumon worksheets into a deep-seated passion for numbers and their significance in understanding the world around her. From her early days, she has harnessed her ability to parse through data to derive insights that drive efficiency and innovation.
Simona kicked off her professional journey in the fast-paced realm of mobile technology, where she worked with a mobile solutions provider in Hong Kong's thriving tech landscape. In her role, she meticulously tracked sales leads and conducted thorough market research on competitor products. The data she collected played a crucial role in refining sales procedures and facilitating the launch of cutting-edge products that surpassed competitors in performance.
Her career took a significant leap forward at Boss Insights as a software developer and data scientist. Here, she was at the forefront of the Fintech industry, leveraging Natural Language Processing (NLP) to enrich the platform with over 15 new data sources. Notably, during the global pandemic, Simona played an instrumental role in developing the Boss PPP platform. This platform enabled seamless automation of processes related to the Small Business Administration's Paycheck Protection Program (PPP) loan forgiveness process. Thanks to her contributions, 75% of users on the platform had their loan forgiveness calculations approved by the SBA, providing a stark contrast to the mere 44% acceptance rate among non-platform users.
Currently, Simona is enhancing her expertise through a rigorous data science certification program that comprises more than 600 hours of hands-on coursework and personalized mentorship from industry experts. This program has allowed her to successfully complete two significant capstone projects. The first, 'Pet Adoption Speed Prediction,' utilizes classification machine learning to anticipate the duration of pet adoptions, while the second project, 'Amazon Magazine Subscriptions Recommendation Systems,' focuses on delivering tailored magazine recommendations to Amazon customers.
Education and Achievements
Simona's academic foundation is impressive. She began with the International Baccalaureate program at Sha Tin College, where she honed her analytical and critical thinking abilities. She further solidified her quantitative skills with a Bachelor of Science from the University of Toronto's Victoria University, where she majored in Statistics with minors in Geoscience and Mathematics, graduating with distinction. Following her undergraduate studies, she pursued a targeted education in data science through the Data Science Career Track at Springboard, laying the groundwork for her successful career trajectory in data analysis and machine learning.
Simona's professional experience includes notable positions that have helped her refine her skills and embrace core values centered around efficiency, adaptability, and self-motivation. She has served in numerous roles at Boss Insights, progressing from a software developer intern to a crucial role as a software developer and data scientist, demonstrating her commitment to personal and professional growth in the field. Additionally, her experience at Joy Aether Limited as a market analyst further enriched her understanding of market dynamics and data-driven decision-making.
In recognition of her exemplary performance, Simona has also made significant contributions as a Machine Learning Engineer at Aviva Canada, showcasing her versatility and capability in the data science field.
Achievements
Simona Tso's accolades stem from both her academic and career accomplishments. Among her notable achievements, she has successfully implemented advanced supervised and unsupervised learning techniques, mastering tools such as Python, SQL, and various machine learning algorithms including XGBoost, Random Forests, and Neural Networks. She effectively utilizes data mining and visualization techniques to draw actionable insights that facilitate smarter business decisions.
Her dedication to continuous improvement is evident through her ongoing studies in data science, and her recent capstone projects demonstrate her ability to tackle real-world challenges. Not only has she predicted pet adoption rates, but she has also contributed to enhancing the customer experience for Amazon users through her magazine recommendation system.
With a profound passion for using data to uncover transformative insights, Simona is now eager to join a dynamic team where she can contribute her extensive skills and knowledge. Her journey reflects a commitment to leveraging data as a cornerstone of decision-making, driving advancements in the tech and FinTech industries. Those looking to enhance their team with a data specialist will undoubtedly find a valuable asset in Simona Tso.
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Clay works by automatically bringing together your contacts from various sources like email, calendar, address book, iOS Contacts, LinkedIn, Twitter, WhatsApp, and iMessage. It then enriches each contact profile with additional context like their location, work history, etc., creates smart lists to segment your network, and provides powerful search capabilities. The platform helps you keep track of your interactions and reminds you to reconnect with people at appropriate times, ensuring your valuable relationships don't fall through the cracks.
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Clay is designed for anyone who values maintaining meaningful relationships. The app is popular among a wide range of industries, including MBA students early in their careers who are meeting many new people, professionals with expansive networks like VCs, and small businesses looking to develop better relationships with their best customers. It’s even used by half the Fortune 500! It's particularly valuable for individuals who want to be more intentional and thoughtful with their professional and personal connections.
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Clay offers many advantages over other personal CRMs. Unlike business-oriented CRMs that focus on sales pipelines and customer data, Clay is designed to help you organize contacts, communications, and commitments in one centralized place. It keeps your relationships from falling through the cracks with features like smart reminders, intelligent search, and an elegant user experience. Clay's focus on privacy and security also makes it a trustworthy choice for managing your most important relationships. Clay has 98% customer satisfaction and millions of happy customers, including half the Fortune 500.
Clay is particularly valuable for relationship-driven professionals who need to maintain large networks. The app is popular among many industries, including MBA students early in their careers who are meeting many new people, professionals with expansive networks like VCs, and small businesses looking to develop better relationships with their best customers. Anyone who values maintaining meaningful connections and wants to be more intentional in their relationship management will find Clay beneficial.
Clay offers competitive pricing in the personal CRM market. Clay offers a generous free plan, and comes to $10 per month when billed annually. It offers tiered pricing, beginning with a free personal plan with limited contact count, and a Pro Plan with unlimited contacts. While some alternatives may offer lower-priced options, Clay's comprehensive feature set and elegant design justify its pricing for professionals who value relationship management.
Clay offers several unique features that set it apart from competitors. Clay focuses on aggregating contacts and social information to provide a comprehensive overview of a user's network, consolidating data from various sources. Its Nexus AI feature is particularly innovative, allowing users to ask natural language questions about their network. Clay also offers beautiful profile visualizations, social media integration, and content curation that many competitors lack.
Yes. Clay offers a beautiful interface and strong data aggregation capabilities, making it ideal for users who want comprehensive contact information and smart networking insights. Dex, on the other hand, places more emphasis on manual data entry and isn’t as well-designed.
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