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Learn from Fellows working at cutting-edge companies across the United States.
In this Build Project you will use factor models to predict stock returns. The project is an example of quantitative finance field, where people utilize the skill of data analysis, statistics and programming to predict stock return and make investment decisions. You’ll learn to handle data using Python and get a solid introduction to forecasting in finance. The project covers important basics like data analysis and applying factor models. Completing it will gear you up for entry-level finance and data science jobs, which are key roles in many U.S. industries. This is a great start for students aiming for a future in the financial sector.
Pensions, colleges, and nations across the world rely on investment firms to generate financial returns to support the long-term needs of their retirees, students, and citizens.
In this Build Project, you’ll learn how investors decide to invest in businesses by donning the hat of an analyst entering an investment firm that is in the process of acquiring a public company. Under the guidance of an experienced industry expert, you will identify a potential investment opportunity, analyze the company’s performance, and build an Excel financial model to value it.
You’ll synthesize your findings to create your own investment memo in PowerPoint—skills critical to succeeding in entry-level roles across financial planning, accounting, banking, investment management and consulting. Entry-level roles in such fields typically pay upwards of $60-80K per year.
Malware analysis is one of the key processes in cybersecurity. Cybersecurity specialists are constantly asked to analyze suspicious files to check whether they're legitimate or malicious. In this Build Project, you'll wear the hat of Security Analyst and prepare a standard report that companies use to develop countermeasures and strategies for preventing or mitigating future attacks. Under the supervision of an experienced Build Fellow, you'll learn about different types of malware, steps of incidence response investigation, and how to use forensic tools like PEiD, ProcMon, and Wireshark. You will be exposed to the daily life of a Malware Analyst and learn the procedures and techniques that any cybersecurity specialist should know.
In the ever-evolving landscape of cybersecurity, defending against different cyber threats is a critical challenge. This Build Project focuses on developing a secure web application with reCAPTCHA authentication and implementing a Cloud Function for real-time API request analysis. Under the guidance of an experienced Build Fellow, you will actively contribute to the project's core deliverables, gaining hands-on experience with industry tools such as Cloud Pub/Sub and Firestore. This project mirrors the operations of a real-world Security Analyst team, providing invaluable insights and practical skills for a career in cybersecurity.
It's imperative for the survival of a company to understand the cost & opportunity of various risks and to learn how to manage them. In this Build Project, you'll wear the hat of a Chief Risk Officer / Risk Advisor and build a comprehensive risk management plan for a client. You will help that company understand their vulnerabilities and opportunities and give them your recommendation on how to manage their risk. Under the supervision of an experienced Build Fellow, you'll learn about the different risk management techniques: risk transfer, risk avoidance, risk mitigation, and risk acceptance. You will become familiar with the Risk Management and Financial methodologies like the risk management process, the financial ratios, forecasting, and the loss triangulation, in an environment that simulates the operations of a real risk management team.
In this Build Project, you'll step into the role of an Advanced Driver Assistance Systems (ADAS) Testing Engineer. You'll be tasked with analyzing data from Forward Collision Warning (FCW) and Automatic Emergency Braking (AEB) tests conducted on the Tesla Model 3 encountering a stationary pedestrian target and an impactable vehicle target. Your objective is to draw meaningful conclusions regarding pedestrian detection across various scenarios, FCW activation, braking efficiency, and avoidance rates. You will also compare the low-speed pedestrian tests against high-speed vehicle target tests. Guided by an experienced Build Fellow, you'll create spreadsheets, presentations, and reports to effectively convey your findings to the project team. Through this project, you'll gain insights into ADAS testing protocols, current research, technological advancements in ADAS, and the performance of Tesla’s FCW/AEB system. Additionally, you'll develop a comprehensive understanding of the algorithms behind Tesla’s FCW/AEB functionality.
By the end of the Build Project, you'll prepare two Chatbots in the form of working code on GitHub repository / PRD - A very simple rule based Chatbot and a Predictive Chatbot using ML. You will also learn about how to use large language models to build an advanced Chatbot that builds upon the previous two. Your solution should have working code, emulate a real-life chatbot that can answer questions, and have a PRD that meets industry standards). In the final project session, you'll present your results to the Build Fellow in a format that mimics a job interview (so you’re ready to discuss your work in real-life interviews).
Almost all the apps that we use run on the cloud and store our data there. This has enabled us to collaborate in real-time among users, but we neither have control nor ownership over our data anymore. In this Build Project, we will explore the alternative by building and deploying local-first web applications. You will learn about and use Conflict-free Replicated Data Types (CRDTs), as well as real-time and offline APIs. You will also get familiar with the issues and impact of data privacy for users and businesses.
In this Build Project, you'll wear the hat of a Full Stack Web Developer and develop a tool to store & securely share passwords. Under the supervision of an experienced Build Fellow, you'll write Node.js code to create the login, signup, save password, share password, list passwords APIs, and create a user interface to access the same. You’ll become familiar with Full Stack Development, REST API development, Relational Database management system, Cryptography, Reusable UI components, Glitch and Retool. All this will happen in an environment that simulates the operations of a real Full Stack Development team.
Embark on an exciting journey into the world of genetics and explore how different species evolve and defend against viruses. In this project, we'll focus on bacteria and archaea, studying their amazing defense system called CRISPR-Cas. By analyzing genetic data, you'll learn how to uncover the secrets of evolution. Through hands-on activities, you'll gain practical skills in genetics, data analysis, and bioinformatics, which are essential for entry-level roles in genetics research and data analysis. These skills are in high demand in today's competitive job market, supporting crucial advancements in fields like healthcare, agriculture, and biotechnology in the United States.
Antimicrobial resistance (AMR) poses a significant global threat to our ability to treat common bacterial infections and save lives. Hidden in bacterial genomic DNA is the key to understanding the causes of resistance, and hence our ability to treat these infections. In this Build Project, you'll wear the hat of a Data Scientist and build a simple machine learning pipeline to turn raw data into an AMR prediction. Under the supervision of an experienced industry expert, you'll get exposed to genomic data processing approaches, featurization for machine learning, training machine learning models and how to fairly evaluate and analyze your model’s performance. You'll become familiar with common industry tools and approaches like Python, Git & GitHub, data science packages (pandas, scikit-learn), cross validation and hyperparameter tuning amongst others. You'll become familiar with common industry tools and approaches like Python, data science packages (pandas, scikit-learn), cross validation and hyperparameter tuning amongst others.
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.
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.
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.
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.
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.
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.
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.
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.
With transformers dominating the machine learning world by setting new benchmarks in various NLP (natural language processing) tasks and Vision tasks, this Build Project will help you learn about transformers, specifically GPT models (which are powering the AI chat assistance like ChatGPT).
We will delve into the intricacies of transformer architecture using PyTorch. You will learn to build, train, and deploy GPT models from scratch, understanding their superior capabilities compared to prior NLP baselines. This knowledge is valuable in today’s job market where the demand for AI expertise is rapidly growing.
Ever wondered why some startups succeed, while most fail? It all starts with the first pitch to a potential investor. Whether you are interested in analyzing investment opportunities or starting your own company, being able to analyze pitch decks and build your own is fundamental. Come to our first session with your own startup idea, and we will develop a pitch deck and presentation for it.
During this Project, you will learn how to build an effective and compelling pitch deck and present it to investors. We will develop a business plan and a go-to-market (GTM) strategy. Throughout the workshops, you will gain the knowledge and skills you need to build a pitch deck. This will all culminate in you presenting your own startup idea to a group of investors as the audience!
The skills you gain during this Project will help you in your future career in many roles you might consider that involve analyzing investment opportunities, in particular in the world of private equity and venture capital.
Digital manufacturing technologies encompass a broad range of tools and systems that are transforming manufacturing through digitization and connectivity. They are foundational to the smart factory and Industry 4.0, where real-time data, automation, and advanced analytics drive efficiency. However, despite their potential, digital manufacturing technologies face challenges in scalability and integration within traditional manufacturing environments. In this Build Project, you will act as a multi-disciplinary analyst, selecting a digital manufacturing technology (such as IoT, robotics, or digital twins) to explore its applications in a specific industry sector.
Guided by expert Project Leaders, you will analyze technology-specific challenges and the unique demands of your chosen industry, identify key stakeholders who influence adoption, and create a business plan to support implementation. By the end of the project, you will present this plan, demonstrating the role of digital manufacturing in enhancing productivity and agility. This project will introduce various digital manufacturing technologies and tools, including industrial IoT platforms, simulation software, and AI. To keep it realistic and fun, you will do your study in an environment simulating the operations of a real, small-scale startup team.
The chatbot industry is rapidly growing as more companies adopt AI to enhance customer interactions. In this Build Project, you’ll take on the role of an AI Developer to design, build, and deploy a sophisticated chatbot using Natural Language Processing techniques. Under the supervision of an industry expert, you will create and fine-tune a chatbot using tools like Python, SpaCy, and Rasa.
In this Build project you’ll think about a company like a financial analyst at an Investment Bank, Private Equity firm, or Hedge Fund. As a group, we will choose a stock to value. Individually, you will build a full 3-statement financial model and use it for your own DCF valuation of the company. You will use publicly available data to build an income statement, a balance sheet, and a cash flow model. Then, you will project key financial figures into subsequent years. Finally, you will use these assumptions to assess the fair valuation of the company. Familiarity with these techniques will help with understanding what a career in investment banking or investing may look like.
In this Build Project, you'll position yourself as a young investment professional and prepare a recommendation for the senior committee that evaluates and chooses where to allocate a finite amount of capital. Your recommendation will be in the form of a short written document in which you outline your considerations and support them with commercial data points and analyses. Drafting investment papers is a highly sought skill in entry-level analysts, and with investment writing, practice truly makes perfect. Under the supervision of an experienced industry expert, you'll choose and review a number of sources to select the most important data to justify your statements. You'll become familiar with key analyst skills such as top-down and bottom-up analysis, and market and company research. All this will happen in an environment that simulates the operations of a real investment team.
