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Learn from Fellows working at cutting-edge companies across the United States.
From industrial automation with robotic arms to optimizing machine movement, in recent years many entry level mechanical engineering jobs in the US started requiring knowledge of machine learning based controlling techniques. In this Build Project, you will wear the hat of Mechanical Engineer and you will develop an interactive Google Colab with reinforcement learning based controller that will control a simulated lunar lander. Under the supervision of an experienced industry expert you’ll learn the basic principles of reinforcement learning controllers and you will implement one from scratch using Python in a simulation environment and test it. You will become familiar with how mechanical engineers approach designing controllers for their mechanical systems and learn how to use common industry tools like Python. All this will happen in an environment that simulates the operations of a real mechanical and control engineering team.
Engineering bidding is a multidisciplinary process that involves various fields of Engineers and other experts, each coming together to the development and submission of a bid. The Mechanical Engineer designs and analyzes all mechanical systems, including HVAC (heating, ventilation, and air conditioning) and plumbing.
In our Build Project, we will review building plans (architectural, mechanical & plumbing drawings) and specifications, learn to identify HVAC mechanical equipment requirements, evaluate specific HVAC product design, and lastly, generate cost estimations.
This project combines artificial intelligence with healthcare, equipping you to solve real-world challenges through machine learning. You will gain foundational knowledge in machine learning and explore deep learning methodologies for image classification. Using Convolutional Neural Networks (CNNs), you will develop models capable of analyzing and categorizing skin cancer images with precision. The hands-on nature of this project provides you with experience in data preprocessing, model training, and evaluation, ensuring they are prepared for entry-level roles in AI and machine learning.
Prototype, architect and design an AWS hosted, robust, scalable B2B aggregator platform for the warehouse and logistics industry. The platform will offer real-time inventory visibility, automated order fulfillment, and intelligent supply chain optimization across multiple warehouses and e-commerce channels.
In this Build Project, you will dive into the dynamic world of financial markets, mastering the art of risk modeling and portfolio optimization. As budding quantitative analysts, you will use real-world data to build predictive models that gauge market risks and devise optimized investment portfolios. By applying statistical methods and computational tools, you'll predict market trends and develop strategies that balance risk against potential returns.
This project is designed to be a thrilling challenge that will not only deepen your understanding of financial principles but also enhance your analytical process. Upon completion, you'll have gained invaluable mathematical, programming, and analytical skills—key competencies highly sought after in entry-level quantitative analyst roles across the financial sector today. These skills are your stepping stones to a robust career in finance, where the ability to interpret complex datasets and make informed decisions is paramount.
This project offers a practical, hands-on experience in the world of mergers and acquisitions by guiding you through the process of evaluating and identifying acquisition targets. Over eight weeks, you will explore industry analysis, develop criteria to shortlist acquisition targets, perform in-depth financial analysis, and assess strategic fit and potential synergies. By working with real-world examples, you will gain skills in finances, strategic assessment, and presentation, which are valuable in finance, consulting, and corporate strategy roles.
What about let’s start to solve some real-world finance problems using computer science and math? Quantitative finance might sound unfamiliar to you, but in this Build Project, you’ll have an end-to-end experience of the quantitative investment process – using Python to do data mining and data cleaning, applying keyword detection statistical algorithms on earnings call data, implementing a linear regression model to generate stock price prediction, and building your own portfolio with risk control. By the end of the 8-weeks project, you will develop a published online notebook with code and text that includes a full pipeline of building up a portfolio in a quantitative way.
Private mortgage lending is a multi-billion-dollar industry that powers the construction and renovation of homes across the United States. In this Build Project, you will learn the ins and outs of the industry, along with how to analyze real estate investment opportunities from the perspectives of both the borrower and lender.
By the end of this 8-week project, you will develop an investment report – in the form of a PDF – showcasing your knowledge of the private mortgage lending industry with a risk-return analysis of real estate investments. You'll work with real-world examples to evaluate deals, assess risks, and determine optimal financing structures. The skills you'll develop are in high demand as lenders seek talent to help tackle America’s housing shortage.
In the construction industry, accurate estimation of materials like concrete, steel, and brick is essential for project planning and budgeting. By designing a worksheet to estimate these materials, you will tackle a real-world challenge faced by construction companies daily. This project not only will give you practical skills crucial for success in the field but also fosters critical thinking, attention to detail, and problem-solving abilities essential for your professional development. Additionally, mastering estimation techniques enhances your employability and prepares you to contribute meaningfully to construction projects upon entering the workforce. In today's U.S. society, where infrastructure development and construction projects are essential for economic growth and societal well-being, professionals equipped with such skills play a vital role in driving progress and meeting the evolving needs of communities across the nation.
Are you intrigued by the dynamic world of finance, where decisions made today can shape the economies of tomorrow? Welcome to our space finance project, where we dive deep into the intricate mechanisms of securitized financial markets, investment strategies, and risk management techniques. Embark on a journey that challenges your intellect and sharpens your analytical skills as we explore topics ranging from capital structure optimization to rating agency arbitrage. Through hands-on exercises, real-world case studies, and collaborative discussions, you'll gain invaluable insights into the principles that drive global financial systems. Whether you're a seasoned enthusiast or just beginning to explore the world of finance, this project promises to equip you with the knowledge and tools necessary to navigate the complexities of today's financial landscape.
Under the supervision of an experienced industry expert, you'll learn how financial analysts assess risk and investors decide where to put their money to work. You'll become familiar with Excel modeling, scenario analysis and the structured products methodology. All this will happen in an environment that simulates the operations of a real investment team.
Spatial transcriptomics, acknowledged as Method of the Year by Nature Methods in 2020, is poised to bring transformative changes across diverse domains such as biological research, pathology, diagnostics, drug discovery, and therapeutics. In this Build Project, you will wear the hat of a Research Associate and perform a comprehensive case study to demonstrate the potential applications of spatial genomics in understanding health and disease. Under the supervision of an experienced Molecular Biology Scientist, you will conduct literature research to identify the potential applicable areas of spatial genomics. You will gain an in-depth understanding of molecular biology tools, such as FISH, next-generation sequencing, and spatial omics technologies, and how they can be utilized in a real R&D team in the biotech industry.
The landscape of the US healthcare industry resembles a complex and fragmented puzzle with various types of pieces. Numerous stakeholders, including healthcare providers, insurance companies, pharmaceutical manufacturers, and government agencies, contribute to a system that often appears intricate and challenging to navigate. The intricate web of regulations, varying payment structures, and the multitude of players involved can make understanding the flow of dollars, products, and contracts seem like solving a 1000-piece puzzle without edge-pieces.Imagine that a pharmaceutical organization that partners with Company X, has reached out asking for support to provide an overview of the value drivers of key stakeholders in the healthcare industry and the flow of product, dollar, and contracts between these stakeholders that they plan to use to train their salesforce new hires. This information will provide a foundation for their salesforce that will help them navigate conversations with healthcare providers, hospital administrators, and payers. You are part of the Company X team and will have to work on this challenge.
In this project, you will first describe the roles, responsibilities, and value drivers of key stakeholders in the healthcare industry including Beneficiaries, Pharmacies, Wholesalers, Payers, Providers, Manufacturers, Funders, and Pharmacy Benefit Managers, and then create a visually appealing flowchart that accurately represents the flow of product, dollar, and contracting between them. This is an opportunity for you to understand the value that each of these stakeholders provide to the healthcare system and how they co-exist to finally provide affordable and quality healthcare services to patients. After completing this project, you will get a deep understanding of the intricacies of the US healthcare industry, develop strong strategic thinking, research, and analytical skills, and improve your ability to communicate your knowledge and insights gathered in a clear, specific, and visually appealing format.
Any young career specialists who want to work in Venture Capital find it hard to understand how to break into this industry. One of the things that help a lot is having a prior VC experience. In this Build Project, you will wear the hat of a Venture Capital Analyst and prepare an investment memo for a potential gaming startup to perform financial, operational, and market due diligence. Under the supervision of an experienced Build Fellow, you will learn how a potential gaming startup investment opportunity will be analyzed and discussed to ultimately decide whether or not to invest. You will become familiar with financial modeling, operational modeling and various research methodologies that will aid you in your conclusion. All this will happen in an environment that simulates the operations of a real investment committee in a venture capital firm.
From grant writing to conference talks, clear scientific communication can make or break the impact of a scientific discovery. This vital but underemphasized skill allows researchers of any level to demonstrate their understanding of complex scientific topics and bring their work to a broader audience. In this Build Project, you'll wear the hat of a Science Journalist, creating an article that uses scientific illustration and interactive design elements to explain a recent discovery in the field of molecular biology. Under the supervision of an experienced Build Fellow, you'll select a recent paper from a prominent scientific journal and write a dense 1–2-page explainer that allows non-expert audiences to understand the findings, scientific context, and cultural relevance of the study. You'll become familiar with the writing conventions of scientific papers and have the opportunity to use data visualization and scientific illustration methods using tools like JavaScript D3 and Inkscape. All this will happen in an environment that simulates the operations of a real team in biotechnology research.
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.
With the rapid rise of Large Language Models (LLMs) in the tech industry, mastering the ability to integrate these models into software solutions has become a key skill for developers. In this Build Project, you'll wear the hat of a Software Developer and build an automated email reply system using Python and third-party LLMs. Under the supervision of an experienced industry expert, you'll write code to integrate LLMs with email systems, enabling the generation of contextually accurate responses in real time. You'll become familiar with API integration, natural language processing, and automation tools. All this will happen in an environment that simulates the operations of a real AI-driven development team, giving you valuable experience in a growing field.
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.
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