https://dream.weekday.works/redirectToHiringCopilotExtension/

Sequoia Capital

JMI Management

Greylock

Genesis Partners

TrueBridge

Colt Ventures

Everest Group

Scheuermann Investment

Cloud based platform offering unified IT management software. It offers features such as ITIL v3 processes, social collaboration for IT departments, SaaS delivery, and modern Web functionality to deliver flexible and self managing applications. It also launched its automation and orchestration platform for threat and incident response and vulnerabilities. Industries using the solutions are financial services, healthcare, government, and life sciences.

Cloud based platform offering unified IT management software

Blumberg Capital

Storm Ventures

Engineering Capital

11.2 Capital

Seabed VC

Milliways Ventures

Array Ventures

Gunder

Neotribe

TechFounders

Passage AI provides an eponymous chatbot development platform for enterprises. It allows clients to build chatbots on a deep learning-powered NLP engine, without writing code. It can be used to develop chatbots in multiple languages, and offers an analytics dashboard to help customers track the performance of their bots. The Passage AI platform can be used for creating chatbots for multiple industrial use cases, such as for marketing, customer support, enterprise function automation, etc., and for both mobile devices and smart homes devices.

Research and implement NLP algorithms for intent classification and entity recognition as part of an online retail chatbot

−	Re-architected intent resolution ensemble model to use a single-layer LSTM and improved classification F1 by ~0.3 across 30-50 intents, while cutting down resolution time by ~65%
−	Improved recall of unrecognized utterances while keeping overall precision constant; addressed the problem of Open Set classification by implementing a customized output layer, and by using unrecognized utterances as negative samples during training
−	Trained and used entity embeddings for POS tag features instead of a one-hot encoded vector

Atalanta Sosnoff

Berkshire Hathaway

Appaloosa Management

Monarch Capital Management

Wells Fargo is a diversified banking and financial services firm. The company offers products & services across retail banking, business and corporate banking, investments, insurance among others. In 2021, the company recorded annual revenues of $84.12B and a net profit of $20.58B.

Used various Natural Language Processing techniques to understand and analyze the unstructured text of SEC financial filings as part of a technical consulting team for a global investment manager (~$20bn AUM)

-Created a standardized classification pipeline to compare performance of various language models (i.e. fastText, doc2vec, sentiment neuron) and output summary detailing key metrics and training parameters; improved performance relative to baseline linear model by ~18%
-Collaborated to create a topic model for SEC filings using Latent Dirichlet Allocation
-Created a multi-thread, Selenium-based web crawler for incremental crawling of financial filings

The premier global development program and proving ground for AI practitioners.

Responsible for the structuring and origination of transportation, project, and infrastructure debt; analyst responsibilities included cashflow modeling, debt-sizing, DCF analysis, and building pitch books.

Transportation Finance:
−	Built cashflow model for Castlelake’s $916mn three-tranche 2016 ABS aircraft securitization to analyze and stress the flow of lease rents and maintenance revenues through the various tranches of debt
−	Constructed portfolio selection tool to advise global aviation fund on choosing a subset of aircraft optimized for age, value, diversity, and risk for a securitized financing

Project and Infrastructure Finance:
−	Prepared an internal credit memo as the sole analyst for a $25mn loan into a $293mn multi-bank construction facility by assessing financial metrics and construction/litigation risks
−	Built an aggregate model that pooled and debt-sized cashflows from 9 renewable energy project portfolios (VBA); collaborated to prepare presentation for rating agencies by sensitizing cash flows 
−	Created a debt-sizing model for potential partial acquisition of a large portfolio of agriculture ports; analyzed a variety of financing and debt-takeout options (bank loan, private placement, etc.) with sensitivity to component ports

Rogue Insight Capital

ngn-capital.com

Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. Our core activities are safeguarding assets, lending money, making payments and accessing the capital markets on behalf of our clients. We have 200 years of experience helping our clients meet the world's toughest challenges and embrace its greatest opportunities. We are Citi, the global bank – an institution connecting millions of people across hundreds of countries and cities.

For information on Citi’s commitment to privacy, visit on.citi/privacy.

Organiser of international level professional tennis tournament

−	Calculated Value at Risk for all institutional/retail portfolios traded through Folio's platform to estimate daily NSCC margin requirement; sent out daily report to all C-suite executives to prepare funds in case of risk margin spike; wrote program (R) to automate entire process and improve daily calculation time from 2 hours to 8 minutes
−	Modeled and back-tested (R) tax loss harvesting strategy to assess tax alpha potential of index-tracking funds that actively harvest capital losses; weekly presentations to CEO and project heads to discuss model optimizations and rollout as a retail product
−	Conducted back-tests of a proprietary, investment-allocation, black-box strategy to explore possible rollout of a retail robo-advisor tailored for passive investors
−	Constructed four compliance-testing database queries (SQL) to identify fraud/money laundering that are used by the compliance team to catch and prevent fraudulent activity

−	Drafted and published a client workshop that helped clients articulate inventions and expedite the patent-drafting process; enabled patent writers’ to prepare patent drafts instead of explaining the basics of the process to potential clients

−	Analyzed multimillion-entry Federal Reserve mortgage dataset (R) collected over several decades; organized econometric statistics quantifying regional bank competition across the nation
−	Researched the use of increased mortgage contract complexity as a method of price discrimination amongst financially inexperienced individuals as a possible result of changing competition

CBSA

ARPA-E

NewSchools Venture Fund

As the flagship university of the state of Colorado, CU Boulder is a dynamic community of scholars and learners situated on one of the most spectacular college campuses in the country.

University offering multiple courses & degrees across multiple streams

−	Polled 250 students/faculty about frequented distribution locations and content popularity of The Maroon newspaper
−	Presented quantitative recommendations to the Maroon content and finance teams to tighten budget by delivering to students’ preferred locations and increase readership by introducing certain content and shortening unpopular sections

−	Identified sandwich assay pairs that can be used to check expression of proteins in serum samples.
−	Learned various lab techniques: pipetting, PCR, gel electrophoresis, radiation imaging.

Janus Henderson Investors

Redmile Group

Logos

Millennium Management

Boston Millennia Partners

Casdin Capital

Farallon Capital Management

Foresite Capital

Remagine Ventures

Monashee Investment Management

Madryn Asset Management

Soleus Capital

National Science Foundation

ICarbonX

Nan Fung Life Sciences

Visium Asset Management

Novartis

Bill & Melinda Gates Foundation

Otsuka

Stronghold Capital

ProQuest Investments

Quest Diagnostics

Mitsui & Co

Lombard Odier

Skye Associates

w3w3

Gershon Capital

dRx Capital

Intermountain Ventures

Developer of protein-based assays for life science research. Its proprietary SOMAmer protein-binding reagents are a class of protein-binding molecules that behave both like aptamers and antibodies, while the SOMAscan assay enables the broad measurement of multiple proteins. The company offers its platform technology as reagents and kits for researchers. However, the company plans to develop LDT tests from a CLIA certified lab, as well as develop therapeutics based on SOMAmer.

Developer of protein-based assays for life science research

−	Wrote a file-conversion program in python that is published online as a part of the QIIME analysis pipeline.