Fei Liang work email
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Fei Liang personal email
👋 Hello! I'm Fei Liang, an enthusiastic data scientist with a passion for unraveling the stories hidden within data. Currently pursuing my Master's degree in Operations Research and Information Engineering at Cornell University, I'm honing my expertise in Data Analytics.I believe data science is the unique blend of analytical rigor, creative problem-solving, and endless possibilities for innovation. I'm fascinated by how data can be leveraged to make impactful decisions, streamline processes, and uncover insights that drive change. Throughout my extensive internship experiences across diverse industries, I've rapidly adapted and utilized data science tools to craft end-to-end solutions for real-world challenges. I take pride in delivering analyses that empower stakeholders and management to make informed decisions, enriching the decision-making process.My Skills Toolkit:Programming Skills: Proficient in Python, especially in ML and DL libraries (Scikit-learn, PyTorch, TensorFlow), skilled in R, C++, etc.Data Management: Proficient in SQL, NoSQL, Hadoop databases and IBM DB2, Amazon S3, Redshift cloud storageData Visualization: Python Plotly/Dash, Tableau, etc.Machine Learning: Familiar with supervised, and unsupervised models, experienced with LLM and NLP modelsI'm always keen to connect with fellow data enthusiasts, explore collaborative opportunities, or just chat about the latest trends in AI and tech. Feel free to reach out!
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Data Science InternPitney Bowes Inc.Ithaca, Ny, Us
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Data Science InternPitney Bowes Inc. Jun 2023 - Present
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Meng Student Leadership CommitteeCornell University Aug 2022 - PresentIthaca, Ny, UsOrganize regular graduate student activities to help students get familiar with each other and relax from courseworkParticipate in the Master of Engineering Exposition to guide prospective students in getting familiar with our program -
Data Science AnalystJohnson & Johnson Dec 2022 - Jun 2023New Brunswick, Nj, UsCornell M.Eng Data Science Capstone Project -
ResearcherBeijing Institute Of Technology Jan 2022 - Jun 2022北京, Beijing, CnDesigned a nationwide air quality forecasting platform to provide real-time pollutant concentration prediction and visualization to guide industrial and academic decisionsManaged more than 21,000,000 pieces of data from 2396 meteorological stations to excavate patterns using Python libraries such as PyTorch, Pandas, NumPy, etc.Built a time-space model by combining Graphical Convolution Network and Long-Short Term Memory model to achieve an over 95% pollutant level predictionDesigned interactive heat maps, line charts, boxplots and other graphical data visualization methods using Python libraries such as folium and pyecharts, and embedded them into the air quality forecasting platform -
Data ScientistSinoiov Jun 2021 - Sep 2021Designed supporting models for the online intelligent transportation platform to provide gas station suggestions for over 5,000,000 truck drivers and 400,000 transportation companies.Upgraded gas station classification algorithms by applying the DBSCAN algorithm on more than 50,000 truck stops Formulated practical insights by extracting, manipulating, analyzing large volumes of data using Hadoop and Python libraries such as Pandas, NumPy, etc.Collaborated with Software Engineering team to evaluate model performance and improve model accuracy. -
Machine Learning EngineerBeijing Anzhen Hospital Sep 2020 - Jul 2021Generated a cardiac MRI image segmentation system based on images form 70+ patients to facilitate doctors diagnosis. Implemented a U-Net model to achieved 71% accuracy on segmenting tissue scars by data normalization, hyperparameter tuning, and data augmentation. Directed a team of five people to formulate solutions to technical questions proposed by specialists of the hospital.
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ResearcherPenn State University Sep 2020 - May 2021University Park, Pa, UsImplemented a deep learning-based algorithm to numerically solve partial differential equations which are used to describe heat transmission, wave propagation, Alzheimer disease development, etc.Designed a training algorithm by combining random points selection with Stochastic Gradient Descent to increase the training five times faster than the traditional method for 2-D modelGenerated results and errors plots using Matplotlib to demonstrate result and error distribution for further analysis -
Vice PresidentPenn State Robo X Aug 2019 - May 2021Founded the Computer Vision Group and won 3rd place in the 2019 international Robomaster CompetitionOrganized weekly group workshops and more than 10 extracurricular activities to expand the size of the club from the original 9 members to over 30 members
Fei Liang Education Details
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Cornell UniversityOperations Research -
Penn State UniversityComputational Mathematics
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Beijing Institute Of TechnologyElectrical And Electronics Engineering
Frequently Asked Questions about Fei Liang
What company does Fei Liang work for?
Fei Liang works for Pitney Bowes Inc.
What is Fei Liang's role at the current company?
Fei Liang's current role is Data Science Intern.
What is Fei Liang's email address?
Fei Liang's email address is fl****@****jnj.com
What schools did Fei Liang attend?
Fei Liang attended Cornell University, Penn State University, Beijing Institute Of Technology.
Who are Fei Liang's colleagues?
Fei Liang's colleagues are Auffret Laurent, Vicki Clayton, Siddharth Jain, Nolene Jonker, Kirsten Monson Mcmillan, Pmp, Jessica Quinde, Nicola Robinson.
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