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Learn from Fellows working at cutting-edge companies across the United States.
Given that the crypto space is still an emerging industry, there are no data standards in how to best analyze the success of crypto project. In this Build project, you'll wear the hat of a Financial Analyst and conduct due diligence on several blockchain startups. Under the supervision of an experienced Build Fellows, you'll build out financial models and write up an investment report. You'll become familiar with the blockchain industry and use tools like Excel and Messari Research. All this will happen in an environment that simulates the operations of a real Finance team.
In the rapidly evolving field of Augmented Reality (AR) and Virtual Reality (VR), the demand for professionals who can navigate the unique software development models and methods is high. In this Build Project, you will step into the role of an AR/VR Software Developer and develop an application that can overlay augmented content on device camera frames. Under the guidance of an industry expert, you will explore and evaluate the specifications and performance of various mobile phones in the market that can be used for real-time object inference and world-locked rendering.
You will delve into the intricacies of Simultaneous Localization and Mapping (SLAM) algorithms, which are crucial for world-locked rendering of overlay media content. Furthermore, you will identify the best methods and algorithms suited for real-time object inference and augmentation rendering to camera frames.
You will become familiar with AR/VR technologies and their unique software development cycles, using tools and methodologies like Unity, C#, and ARCore. All this will happen in an environment that simulates the operations of a real AR/VR development team. By the end of the project, you will have a functional application that can be further expanded and improved by adding other metadata as an augmentation layer on top of camera frames.
If you want to work in Commercial Real Estate, it’s beneficial for your portfolio to acquire some industry-specific experiences. In this Build Project, you'll wear the hat of an Asset Management Analyst and monitor the financial performance of an office asset within a commercial real estate portfolio in Los Angeles. The investment committee that approved the acquisition of said asset has requested a meeting to provide them with an update on market and asset performance a year into acquisition. Under the supervision of an experienced Build Fellow, you'll work on valuation and investment metrics, returns, variances in financial statements, and market fundamentals. You'll also become familiar with industry tools such as Excel, PowerPoint, Costar, and Cushman & Wakefield. All this will happen in an environment that simulates the operations of a real CRE (Commercial Real Estate) Asset Management team.
The goal of this project is to create a simulator prototype that will be used extensively as a tool for helping operators, production and maintenance personnel better understand the way the process works and be able to troubleshoot it more efficiently.
To stay relevant and profitable, companies need to constantly review their growth strategy and identify new market opportunities. Specialists who can do this work effectively are always in demand, so it's a valuable skillset to acquire. In this Build Project, you'll wear the hat of a Corporate Development Analyst and come up with a potential acquisition target (company) to analyze and present. Under the supervision of an experienced Build Fellow, you'll perform market research, financial analysis and build a dynamic valuation model in Excel. You'll become familiar with valuation methodologies like DCF, NPV and WACC. All this will happen in an environment that simulates the operations of a real Corporate Development team.
Sentence embedding models have a wide variety of use cases in the Natural Language Processing (NLP) landscape, such as to facilitate vector search of unstructured text for semantically similar entries, or within a larger model to enable tasks such as regression or classification on free-text.
During this project, you will devise a prompt to generate a synthetic dataset to fine-tune a pretrained sentence embedding model to address deficiencies in the domain-specific use-case of embedding job titles. You will then use this dataset to fine-tune your pretrained model and evaluate the improvement in performance for the vector search task. Finally, you will deploy your fine-tuned model within a Streamlit web app, allowing you to easily show your model to anyone.
This project will help build your familiarity with basic prompting techniques, querying LLMs and parsing their outputs through an API, as well as popular Machine Learning and NLP frameworks (such as Hugging Face and Sentence-Transformers) and provide a compact end-to end experience from initial prototyping to dataset gathering, to training and evaluation, and finally deployment, covering the core parts of common workflows for a Data Scientist or ML Engineer.
For an airline, aircraft structural inspections play a pivotal role in ensuring structural integrity and aerodynamic smoothness, making it critical for its daily operations to be run in a highly safe and efficient manner. Some of these structural inspections include but are not limited to, detailed inspection of aircraft skin waviness for aerodynamic smoothness, dents, lightning & bird strike inspections, corrosion & sealing inspections, loose/damaged fastener inspections along with damage classification and repair limits.
In this build project you will wear the hat of an airline maintenance engineer to explore use cases of integrating a 3D surface scanner to perform aircraft structural inspections. Under the supervision of an experienced industry expert, you’ll start by identifying gaps in traditional structural inspections, develop a solution and carry-out feasibility studies. You’ll become familiar with an airline maintenance program, manuals, 3D CAD modeling software, and FAA’s regulations. All this will happen in an environment that simulates the operations of a real airline maintenance engineering team.
Detailed analyses and accurate predictions based on fundamental understanding of a company are key to becoming a successful public equity investing professional. In this Build Project, you will wear the hat of a fundamental analyst and develop investment recommendations about a publicly traded company’s stock. Under the supervision of an experienced industry expert, you will dive deep into understanding the company’s business model, evaluating its business strategies and competitive landscapes, analyzing its financial data, and predicting its future growth potential. You will also become familiar with tools such as Python to conduct statistical analysis on macroeconomic data and apply various valuation methods in Excel to support your investment theses. The analytical and modeling skills gained from this project will help you become more competitive in the recruiting process for a junior equity investment role.
You have a software product idea that you want to develop into a real product. Where do you even start? The truth is that it’s straightforward once you learn the process. It helps if you have Computer Science, Software Engineering, Design or Business or have previously acquired skills in one of these areas.
Every day, talented people work on countless software startup ideas, yet most fail. Using tools like the design process and user research can help teams move quickly and avoid common pitfalls that derail projects. In this Build project, you’ll take on the role of a digital product designer, applying the design process to software development. You’ll start by researching users, move through ideation sessions and ultimately build a prototype to pitch to a wider audience. The outcome will be an MVP (Minimum Viable Product)—not necessarily a finished product, but a foundation to introduce the essential tools and methods needed to build one successfully.
After 8 weeks, you’ll be able to apply this process to develop product ideas in any industry and tackle various problems. If you’re pursuing product manager or product designer roles, this project will also serve as a valuable addition to your portfolio.
In the rapidly evolving field of sustainable materials, addressing environmental impact through innovative solutions is crucial. In this Build Project, you'll wear the hat of a Materials Engineer and develop bio-based cellular products using cashew nutshell liquid as a key component.
Under the supervision of an experienced industry expert, you'll prepare and test various sustainable materials, learning to apply cutting-edge analytical methods like FTIR and Karl Fischer. You'll become familiar with industry-standard techniques for material characterization and production, all within an environment that simulates real-world engineering challenges and team dynamics.
Important Details:
Predictive modeling is a critical skill for data scientists, widely used across various industries. In real estate, predictive analytics and valuation modeling are gaining momentum, with both startups and established companies increasingly adopting data-driven approaches to forecast housing prices.
In this Build Project, you will retrieve, clean, and preprocess real-world housing data, transforming it into a format suitable for machine learning. You will explore and visualize the data to gain insights, then apply supervised learning algorithms to predict the sales price for each house. Throughout the project, you'll focus on optimizing model performance through feature selection and hyperparameter tuning. Additionally, you'll deploy your final model using AWS SageMaker, making it accessible via cloud infrastructure. This hands-on project will not only enhance your predictive modeling skills but also give you practical experience in cloud-based machine learning deployment.
You will learn legal writing to organize research, create outlines, and draft legal documents such as memorandums and briefs at the end of the project. In this Build Project, you will understand the basics of legal writing and its importance in the legal field. You will write down a legal paper: a memorandum or brief. This assignment will require you to complete research plans, writing outlines, document summaries, and writing assignments. You will also develop advanced writing, research, and analysis skills and a deep understanding of legal concepts. These skills can be integrated into their professional and academic pursuits, gaining valuable expertise in the process. You will also get acquainted with multiple legal search engines and be able to conduct successful research assignments.
This project is designed for students who aspire to work in the legal industry. Practicing law has its unique features that students cannot know until they get a hands-on experience of what it’s like. How is “legal writing” different from writing any other essays or research papers? How is “legal research” different from any other research? How is reading case law and court decisions different from any other papers? Law Students spend an entire year (or more) to learn these skills. The project allows you to get a head start in gaining these skills, in a more simplified, beginner-friendly way. You will develop a legal memo as a final deliverable, which will include your analysis of cases, and its application to the matter at hand, and your position in advocating for your client. It can be used as a writing sample which will be handy in applying for law schools and/or internships or other law office positions that do not require an attorney license.At the end of the 8-weeks session, you will feel more confident applying for law schools or jobs in the legal industry.
Capturing high quality image datasets is a rapidly expanding field with a wide range of applications: mapping, survey, digital 3D models, and datasets for AI. Drones are transforming the industry by providing a safe, cheap, and accessible platform which can navigate difficult terrain and capture datasets with remarkable precision and efficiency. In this project, you will wear the hat of a Roboticist and a Software Developer and develop a path planning system which can capture the image datasets in an efficient manner.
Under the guidance of an industry expert, you’ll develop data models in Python for user requirements and constraints, develop modular APIs to calculate the position and the speed of the drones, and build visualization tools to analyze the computed trajectories. You’ll learn about camera systems and the image capture process, mapping and photogrammetry concepts like overlap, and industry conventions to represent the path of robots. Your project leader will provide the mathematical concepts required for the project and simulate an environment of a real robotics software development team.
The type of work you will be doing replicates a “day-in-the-life" of an entry level real estate investment analyst. In this Build Project, you'll wear the hat of a Real Estate Financial Analyst and develop comprehensive financial models for value-added real estate investments. Under the supervision of an experienced Build Fellow, you'll conduct in-depth economic and due diligence analysis on various investment opportunities in the real estate space. You'll become familiar with industry tools like Excel and ARGUS Enterprise Valuation Software to conduct investment analysis. All this will happen in an environment that simulates the operations of a real private equity investment committee.
Single-cell genomics is revolutionizing computational biology and drug development by providing detailed insights into cellular functions. Increasingly large mountains of transcriptomic data have been generated over the past few years, and its secrets are waiting to be unlocked!
In this Build Project, you'll assume the role of a Computational Biologist, analyzing single-cell transcriptomics data to identify novel disease mechanisms. Under the guidance of an industry expert, you will retrieve, clean, and process omics data, apply machine learning models for data analysis, and produce scientific figures. You will gain hands-on experience with tools and methodologies commonly used in the field, all within a simulated professional environment.
Hearing loss is increasingly prevalent among adults, particularly older individuals. Research has highlighted its severe effects, including increased risk of falls, depression, cognitive decline, dementia, and higher rates of hospitalization. Despite these significant impacts, public awareness about the importance of adult hearing care remains low, with fewer than 20% of adults with hearing loss seeking treatment.
In this project, you will create an awareness overview resource aimed at educating the public on crucial aspects of adult hearing care. Your presentation will cover: the mechanisms and pathways of hearing, the pathologies and impacts of hearing loss, the characteristics and management of tinnitus, options for hearing devices, and strategies for hearing protection. This project will not only immerse you in the field of audiology but also provide you with valuable experience in advocacy and research. Developing the ability to critically review research literature is essential for evidence-based practice. The skills and knowledge gained from this project will be vital for your success in the healthcare field.
Embark on an exciting journey into 3D computer vision, where you'll learn to transform 2D images into fascinating 3D point clouds. This Build Project is designed to introduce you to the world of 3D vision, regardless of your programming background. Over eight interactive workshops, you'll construct a 3D vision pipeline step by step, with all the necessary code structures provided. You'll use Python and Jupyter notebooks, you’ll receive guidance if you're new to these. Each workshop will include prepared code segments where you'll fill in key functions, supported by built-in tests to verify your solutions. You'll explore concepts like camera models, image processing, and stereo vision through hands-on exercises. By the project's end, you'll have contributed to a working 3D reconstruction tool, gaining insights into computer vision, basic Python programming, and 3D data visualization. This project offers a gentle introduction to technologies used in exciting fields like robotics and augmented reality, providing you with a unique learning experience regardless of your starting point.
By the end of the project, you will develop a PowerPoint presentation that provides an overview of key qualitative and quantitative parameters of a medical device as well as be able to explain these parameters in a way that adds business value and gives a company’s executive team strategic direction regarding a class of products in the reconstruction and aesthetic space. You will also develop skills to present these findings in visually concise and appealing way with the use of plots and graphics. All these skills are critical to any budding entrepreneur or new product development engineer!
In the fast-paced world of sports streaming, automated highlight generation is becoming increasingly crucial for engaging fans and providing quick insights. In this Build Project, you'll step into the role of a Machine Learning Engineer to develop an end-to-end system for automated sports action recognition and highlight generation. You will develop a fully functional automated sports highlight generation system, including a trained action classification model, a video processing pipeline, and a highlight generation algorithm.
Under the guidance of an experienced industry expert, you'll build machine learning models to classify player actions from tracking data, create a video processing pipeline, and implement highlight generation algorithms. You'll gain hands-on experience with cutting-edge technologies like computer vision, deep learning, and large language models, simulating the workflow of a real data science team in the sports tech industry.
Predictive analytics is crucial for retail companies as it enables them to optimize sales and inventory management, helping to meet customer demand, minimize excess stock, and maximize profits. In this Build Project, you'll wear the hat of a Business Intelligence Analyst at an imaginary retail company and develop a strategy to manage retail inventory and pricing for different seasons. Under the supervision of an experienced industry expert, you'll develop prediction models based on historical datasets and deliver a strategy plan to improve sales in stores. You'll become familiar with Statistical Analysis and Data Science tools like Python and Jupyter Notebook. All this will happen in an environment that simulates the operations of a real Business Intelligence team, supporting a business with insights about their industry so that they can make data-driven decisions.
In the retail eCommerce industry, configuring and managing CRM systems like Salesforce is a vital skill, especially for entry-level positions. In this Build Project, you’ll step into the role of a Retail CRM Specialist and develop configurations using Salesforce CRM, integrating AI tools like Einstein to automate customer response management and enhance data personalization.
Under the supervision of an experienced industry expert, you’ll focus on setting up and optimizing generative AI capabilities within Salesforce to transform customer data management and personalize shopping experiences. You’ll also become proficient with low-code tools like Salesforce Flow Builder to accelerate market implementation. All this will happen in an environment that simulates the operations of a real retail eCommerce team.
Critical Path Method (CPM) Scheduling is of immense importance today in the construction field and drives most construction planning and project controls processes. In this Build Project, you'll wear the hat of a Construction CPM scheduler/project controls professional. Schedulers and Project Controls professionals manage and monitor cost, schedule and risk on construction projects.
You will build a basic model construction CPM schedule for a typical highway or heavy civil construction project. Under the supervision of an experienced industry expert, you'll become familiar with the industry standard CPM scheduling methodology. All this will happen in an environment that simulates the operations of a real Project Controls or Scheduling team.
The US consists of a diverse population where people are becoming more aware of the need for diversity, inclusion, and mental health proficiency across the job market. In this project, you will learn to identify, explain, and distinguish mental-health-informed leadership qualities that will be effective in nowadays workplace environments. You will present a report of case study analysis, where you get to utilize and apply the skills that you have learned in the previous weeks. The case study will be displaying trauma-informed and culturally proficient leadership skill.
Under the supervision of an experienced industry expert, you will develop skills that will showcase the ability to navigate interpersonal interactions through the lens of mental-health awareness. You will be equipped for challenges outside your own context of culture or identity development to provide a positive and effective work environment.
Embark on an exhilarating journey into healthcare data analysis. From identifying trends in disease outbreaks to forecasting future healthcare needs, this project will challenge you to navigate real-world data complexities while sharpening your analytical skills.
You will produce a comprehensive project report that details the entire data analysis process, from initial data collection and cleaning to advanced predictive modeling and result interpretation. Additionally, you will create a visually compelling presentation that highlights key insights, methodologies used, and implications for public health research and practice. These deliverables will not only demonstrate your mastery of data science techniques in the healthcare industry but also showcase your ability to effectively communicate complex findings—an essential skill for future roles in data-driven positions within healthcare and beyond.
By mastering techniques in data cleaning, exploratory analysis, and predictive modeling, you'll not only unlock valuable insights crucial for public health decision-making but also equip yourself with the indispensable skills sought after in entry-level roles across various sectors of the U.S. society, where data-driven decision-making is paramount for addressing pressing healthcare challenges and improving population well-being.
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