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Embark on an enlightening journey exploring the intricacies of DNA structure, learn about DNA sequencing techniques and gain hands-on experience using Python and other Bioinformatics frameworks to understand how genomic data captures the mysteries of life.

Bioinformatics Fellow

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.

computing-data-science, physical-life-science

data-science, machine-learning, software-development, python, data-processing, genomics, bioinformatics

Exploring the Bacterial Genome Using Data Science

Hayden Sansum

Develop a model to predict bacterial resistance to antibiotics from genomic data using an end-to-end data science approach including data exploration, feature transformation, hyperparameter tuning and statistical analysis.

Data Science Fellow

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.

finance, investment-analysis, risk-assessment, financial-modeling

Master Investment Analysis in Real Estate Finance

Joseph Dillamore

Kickstart your career in real estate finance by learning how to analyze real estate deals like fix-and-flips using the tools and methods used by both real estate investors and private lenders.

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.

statistical-modeling, linear-regression, python, data-mining

Predicting Stock Price in a Quantitative Way

Yue (Mike) Yao

Use Python and Linear Regression to predict stock prices in a quantitative way

Quantitative Finance Fellow

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.

m-a, financial-analysis, strategic-fit, synergy-assessment

Evaluation & Identification of Potential Acquisition Targets

Amy Quan

Conduct market research to identify and recommend potential acquisition targets through financial analysis, strategic fit, and risk assessment.

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.

financial-modeling, portfolio-management, statistical-analysis

Portfolio Playbook: Cracking the Risk-Reward Code

Shirong Liu

This project focuses on risk management models and tools and allows students to quantitatively measure and present the risk associated with financial portfolios.

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.

aggregator-platform, amazon-web-services, ecommerce, warehouse-platform

Prototyping B2B Aggregator platform for the Warehouse/Logistic Industry

Rajesh Francis

Design an advanced, pioneering Business-to-Business (B2B) E-Commerce Aggregator platform to unify warehouses and logistics industry.

Computer Systems Fellow

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.

python, machine-learning, deep-learning, image-classification

Skin Cancer Detection with Deep Learning

Sehaj Grover

Build and train deep learning models to classify skin cancer images accurately using Convolutional Neural Networks (CNNs).

Software Development Fellow

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

hvac-systems, requests-for-proposal-rfps, takeoffs, bid-drawings

Engineering Bid Preparation for HVAC Systems

Alsten Lobo

You will be exposed to the process of preparing an engineering bid for HVAC systems, emphasizing the technical data analysis needed to create accurate project scopes, costs, and timelines.

Mechanical Engineering Fellow

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.

engineering

python, machine-learning, reinforcement-learning, control

Build Reinforcement Learning Controller for Lunar Lander

Igor Sadalski

Develop a reinforcement learning controller for a lunar lander and test it in simulation!

Mechanical Engineering Fellow

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.

natural-language-processing, large-language-models, transformers, gpts

Build and Train Transformer Language Model

Kacper Raczy

Utilizing the current state of the art techniques in natural language processing, you’ll develop a text generation language model featuring the attention mechanism (using GPT and transformer architecture).

Data Science Fellow

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.

investment-analysis, entrepreneurship, private-equity, venture-capital

Pitch Your Own Startup: From Theory to Practice

Rik Abels

Pitch your startup idea to a group of investors by creating a pitch deck introducing your product or service, analyzing market opportunities, evaluating business strategies, and examining competitive landscapes

manufacturing-industry-review, business-model-analysis, techno-economic-analysis

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.

engineering

Find Your Business in Digitalized Manufacturing

Eldar Shakirov

Identify a business opportunity with digitalized manufacturing in your chosen industry, and develop it into a viable business model.

Industrial Engineering Fellow

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.

natural-language-processing, machine-learning, chatbot-development, web-deployment

NLP Unleashed: Building Smart Chatbots

Luca Belgeri

Design and build an AI-driven chatbot using advanced Natural Language Processing techniques, providing hands-on experience with machine learning and web deployment.

Computer Science Fellow

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.

fundamental-analysis, valuation-techniques, financial-modeling, discounted-cashflow-dcf-analysis

Financial Valuation: What’s the stock really worth?

Florentin Zander

Build a comprehensive 3-statement model, forecast key KPIs, and develop a full Discounted Cash Flow (DCF) valuation for a company of our choice.

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.

industry-analysis, investment-presentation, business-writing, financial-roles

Making an Investment Recommendation That You Will Not Regret

Giulia Roverato

Translate company and market analyses into a defensible investment memorandum.

physics, software-development, algorithms, quantum-mechanics

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.

physical-life-science

Explore Quantum Frontier: Calculating Atoms

Teng Zhang

Develop theoretical algorithm to calculate quantum-mechanical atomic dynamics.

Physics Fellow

Quantum physics is an emerging field. It has demonstrated supremacy in many ways, such as quantum sensing being much more precise, and quantum computers being capable of solving problems exponentially faster than their classical counterpart.

In this Build Project, you’ll learn the key concepts in quantum physics, such as quantum states, Schrodinger equations, and use those concepts in real-life applications, including lasers and atomic spectroscopy. You will also learn and use Python to develop software programs to solve quantum problems. Those software programs will be very useful as they are not readily available in industry but only in academia. You will build your software program on Github, which is also a critical skill to have in the software development field. A well-built and active Github account is a good plus for jobs in software engineering, which has the highest pay grade among other fields.

data-science, data-visualization, python, business-intelligence

Data Alchemy: Crafting Actionable Insights from Raw Data

Pratyush Kundu

Transform raw data into actionable insights and interactive dashboards, while mastering foundational data science techniques such as exploratory data analysis (EDA) & data visualization.

Data Science Fellow

In today's data-driven world, being able to transform raw data into valuable insights is a critical skill. In this Build Project, you’ll wear the hat of a Data Scientist and tackle the challenge of creating interactive dashboards that showcase business insights from raw data. Under the supervision of an experienced industry expert, you will develop essential skills in SQL, Python, machine learning, and data visualization. You’ll become familiar with industry-standard tools like sklearn and git, while applying these skills to a real-world data problem. This project provides a unique opportunity to experience the full data science lifecycle, from raw data to visualization, simulating the operations of a real data science team.

law

criminal-law, judicial-process, case-study, legal-analysis

How Crime Works: Exploring Law in Action

Hetali Sheth

Examine criminal theory, legal principles, defense strategies, and societal impacts through case studies and discussions.

Law Fellow

Ever wondered what it takes to build a criminal case from start to finish? In this Build project, you'll step into the role of a legal analyst to dissect and build a comprehensive case portfolio on a mock criminal case, mirroring the analytical work common in law firms and public defender offices. Under the guidance of an experienced industry professional, you'll analyze key elements of the case, assess possible defenses, map out trial procedures, and craft a verdict and sentencing recommendation based on criminal law principles. You’ll gain hands-on experience with fundamental legal techniques like case classification, evidence assessment, and procedural mapping, all within a simulated judicial process. This project offers a valuable, real-world experience for anyone interested in understanding the building blocks of criminal justice and applying legal concepts in practice.

software-development, personal-finance, full-stack-development, modern-web-technologies

Wallet Wizard: Develop a Personal Finance Tracker

Parug Demircioglu

Create a full-stack web application that empowers users to manage their personal finances by tracking budgets, monitoring expenses, and generating insightful financial reports.

Computer Science Fellow

In today’s fast-paced world, effective personal finance management is more crucial than ever, yet many people lack the tools to monitor their budgets and expenses efficiently. In this Build Project, you’ll wear the hat of a Full-stack Software Developer and develop “Wallet Wizard”, a comprehensive personal finance tracker built from the ground up. Under the supervision of an experienced industry expert, you’ll design and implement a fully functional application that enables users to set budgets, track expenses, and generate insightful financial reports. You’ll become familiar with industry-standard tools and technologies like React, Next.js, Node.js, and PostgreSQL. All this will happen in an environment that simulates the operations of a real software development team, providing you with practical experience that’s highly valued in the tech industry.

devops, amazon-web-services, infrastructure-as-code, cloud-engineering

Learn and Implement a Well-Architected Cloud Infrastructure on Amazon Web Services

Rohit Khattar

Understand and implement fundamental principles associated with software development in the Amazon Web Services cloud using Infrastructure as Code (Iac) and Terraform.

Software Engineering Fellow

Cloud operations and DevOps have become heavily critical to hosting and running any high-performance web applications that can scale as the user demand increases. This Build Project will introduce you to basic cloud principles, explain some of the best practices and walk you through a couple of hands-on exercises to prepare you to dive deeper into the world of cloud engineering.

By the end of the 8-weeks project, you will develop a sound foundation of cloud principles. You will develop architecture diagrams and implement those on the AWS cloud platform for hosting a basic web application. Finally, you will be tasked to develop and present a migration strategy for a company that wants to move their web architecture from On-Prem to the AWS Cloud.

Since most software organizations use some form of the cloud or another, having these foundational principles can help you understand the company's software infrastructure as well as stand out from your competition.

learning-and-development, employee-training, compliance

Building Engaging Compliance Training: Developing an Interactive Quiz for Regulatory Awareness

Ruth Purcell

This project focuses on developing a learning material to help employees understand and comply with key workplace regulations, including anti-harassment policies, data protection, and workplace safety.

HR Business Fellow

With workplace regulations increasingly under scrutiny, organizations are prioritizing compliance to protect both employees and the business. Understanding and adhering to policies around anti-harassment, data privacy, and safety are now essential components of a healthy workplace culture. This Build Project will guide you through the process of designing a compliance training tool, focusing on creating an interactive quiz that reinforces knowledge about critical workplace regulations such as anti-harassment policies, data privacy laws (e.g., GDPR), and safety standards.

Over the course of 8 weeks, you will work on developing content, building quiz questions, and incorporating learning design strategies to ensure the material is engaging and easy to retain. By the end of the project, you’ll gain practical experience in both compliance and training development, equipping you with skills to build effective, engaging learning materials that foster a safer and more compliant workplace.

personnel-organizational-training, change-management, talent-management, employee-development

Create a Strengths-Based Company Culture

Silvia Schweinoester

Explore strategies for identifying employees’ strengths and integrating them into their roles to foster a strengths-based company culture.

Business Management Fellow

By the end of the 8-week project, students will develop a comprehensive 'How-to Guide' for creating and sustaining a strengths-based company culture, based on their experiences with personality tests and talent management practices. A template will be provided to guide them through the process.

Throughout the project, students will engage in various activities including analyzing personality tests, identifying individual strengths, and applying talent management practices. Key deliverables will include a strengths assessment, an implementation plan for fostering a strengths-based culture, and regular reflections on their learning process.

marketing, crm, emailing, data-analysis, content-creation

Conducting, Crafting and Analyzing Impactful Email Campaigns

Chloé Rudez