Lucinda Linde

Lucinda Linde has a diverse work experience spanning over several industries. Lucinda is currently working as a Senior Data Scientist at Ironside since February 2022. Prior to that, they worked as an independent contractor from May 2021 to December 2021, where they focused on using machine learning to solve business problems. Lucinda applied natural language processing (NLP) to analyze Amazon reviews and developed a machine learning approach for automating responses in a chat app.

Before their independent contractor role, Lucinda worked as a Senior Data Scientist at Ironside from September 2020 to February 2021. At Ironside, they used data analytics and machine learning to help companies solve business problems. One of their projects involved identifying lookalikes of the client's best customers using random forest, xgboost, and logistic regression.

Lucinda's educational background includes a Master's Degree in Data Analytics from Northeastern University, which they completed in June 2020. During their studies, they gained expertise in AI, machine learning, predictive analytics, data mining, and big data. Lucinda'scapstone project focused on predicting CPM and # Impressions of Facebook ads using a novel technique combining NLP, TF-IDF, NLTK, N-grams, and xgboost. Lucinda achieved an accuracy rate of 75-85%.

Earlier in their career, Lucinda worked as the VP of Marketing at Squadle, Inc. from October 2016 to January 2018. Lucinda also worked as a Marketing Consultant at Example Companies, where they specialized in Facebook Ads, AdWords campaigns, and the development of buyer personas. In addition, they co-created a live video ecommerce event with iwannaseeit.

Before transitioning into data science and marketing roles, Lucinda held positions as a consultant to CEO and executive teams at Nanigans, a leading SaaS ad automation platform, and as a Senior Manager at COBA-M.I.D., a telecom consulting firm, where they helped grow the company's revenue and managed projects for clients in multi-billion dollar businesses.

Lucinda has also been actively involved in the venture capital industry. Lucinda was a Partner at Walnut Venture Associates from 1999 to 2012, where they invested in several startups and made personal angel investments. Lucinda later served as a Partner at First Light Capital from 2000 to 2004, where they evaluated internet companies and their business models.

Lucinda Linde completed their Master's degree in Data Analytics from Northeastern University from the year 2018 to 2020. Lucinda also holds a Master's of Science (MS) degree in Material Science and Engineering from the Massachusetts Institute of Technology (MIT), although the specific years of their study are unknown. Furthermore, they pursued a Bachelor of Science (BS) degree in Material Science and Engineering from MIT as well, but the duration of their undergraduate education is also undisclosed.

In terms of certifications, Lucinda obtained various credentials. These include the AWS Solution Architect Associate certification from Amazon Web Services (AWS) in March 2023, the DataRobot Sales Engineer certification from DataRobot in January 2023, the AWS Certified Machine Learning – Specialty certification from AWS in July 2021, and the AWS Certified Cloud Practitioner certification from AWS in April 2021. Additionally, they completed the DataRobot Fundamentals certification from DataRobot in March 2022, the ARIMA Models in Python course from DataCamp in January 2021, the Introduction to Deep Learning with Keras course from DataCamp in March 2021, and the APIs and Web Scraping in Python Course from Dataquest.io in September 2020.

Furthermore, Lucinda possesses corporate certifications such as the Executive Data Science Specialization from Coursera in November 2017, the Technical Marketing RampUp Course from Startup Institute in January 2016, and the Inbound Certification from HubSpot in November 2015. Lastly, they also completed another course called Introduction to Deep Learning with Keras but the specific details regarding the institution and completion date are not provided.