Social Media Data Entry

Tien (Will) Truong

Berkeley, CA (***) *** - **** **********@********.***

https://tientruong286.github.io/TienTruong/

EDUCATION

University of California, Berkeley, CA December 2023 Bachelor of Arts, Economics and Cognitive Science (Double Majors) Minor: Data Science GPA: 3.7/4.0 TECHNICAL SKILLS

• Machine Learning and Deep Learning Concepts: Supervised/Unsupervised Learning, Regression, Decision Trees, Ensemble Methods, CNNs, LSTMs, Transformers, Word2Vec, and Transfer Learning

• NLP Techniques: Sentiment Analysis, Named Entity Recognition, Text Classification, Text Summarization

• Data Science Stack: NumPy, pandas, scikit-learn, TensorFlow, Keras, Matplotlib, Seaborn, NLTK, spaCy, Gensim

• Web Technologies: HTML, CSS

• Data Analysis Tools: Microsoft Excel, RStudio, MATLAB PROFESSIONAL EXPERIENCE

Transportation Planning and Operations Intern June 2023 – Present UC Berkeley Department of Parking and Transportation Berkeley, CA

• Conducted data analysis and visualization of student survey responses to assess demand and preferences for public transportation on campus, identifying key insights to inform transportation planning decisions resulting in decreasing of drive-alone rate by 3 percent on campus.

• Utilized geographic information systems (GIS) and data visualization techniques to map out the proposed bus stop sign locations, visualizing the impact on transportation routes and transit options.

• Proposed innovative design ideas for the bus stop signs, considering user experience, aesthetics, and adherence to local regulations and safety standards.

Dispute Resolution Analyst Intern March 2023 – June 2023 Better Business Bureau New York, NY – Remote

• Managed and resolved 325 disputes through negotiation, mediation, and arbitration, resulting in a 90% success rate.

• Conducted data-driven investigations and analysis to resolve disputes related to billing, services, and product quality, ensuring fair and accurate resolutions, and provided valuable insights to senior management through data-backed reports. Undergraduate Researcher August 2022 -Present

Chatman Lab - Hass School of Business – University of California, Berkeley Berkeley, CA

• Researched organizational behavior topics, such as workplace diversity, employee engagement, and leadership development.

• Developed and implemented research methodologies like surveys, focus groups, and interviews to gather employee data and insights, while also contributing to data collection and analysis for relevant organizational behavior research studies. Undergraduate Researcher August 2022 -Present

Department of Psychology – University of California, Berkeley Berkeley, CA

• Conducted research on various aspects of organizational behavior, such as workplace diversity and inclusion, employee engagement, and leadership development.

• Utilized research methodologies, including surveys, focus groups, and interviews, to collect data and insights from employees and assisted in conducting literature reviews and data analysis for related research studies. Natural Language Processing Researcher January 2022 -May 2022 College of Engineering – University of California, Berkeley Berkeley, CA

• Utilized NLP algorithms to process and analyze text data from various social media platforms, extracting relevant information related to natural disasters in Vietnam.

• Conducted sentiment analysis to gauge public reactions and emotions expressed in social media posts during and after natural disasters, providing valuable data for understanding the impact on affected communities. PROJECTS https://tientruong286.github.io/TienTruong/newindex.html Deep Learning Research Project: Accurate House Number Classification using CNN on SVHN Dataset

• Developed a high-accuracy Convolutional Neural Network (CNN) model for house number classification in the SVHN dataset, achieving an accuracy rate of 91% and enabling applications such as accurate address recognition, automated data entry, urban planning, infrastructure development, navigation systems, and enhanced operational efficiency. Forecasting Google Stock Prices using Recurrent Neural Networks (RNN) from 2012 to 2017

• Developed a predictive Recurrent Neural Network (RNN) model to forecast Google's (GOOGL) stock prices from 2012 to 2017, utilizing machine learning and deep learning techniques to capture complex patterns and dependencies in historical data for improved investment and trading insights.

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