New York City
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Ameya Shanbhag

Product Manager @ Goldman Sachs
Phone:

+1 (646) 290 - 0134

Email:

ameya.shanbhag@gmail.com 
 

Date of Birth:

January 10th, 1996

 
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Hello! I'm Ameya

 

'Fortune favors the bold' reminds me of taking risk, every morning! You only get one life and I believe in making calculated decisions, decisions that have a downside that makes you aware of the importance of your decisions and a huge upside which keeps you motivated to strive towards making a correct one!

'Solitude is a time and space where creativity happens' - every day I take some time to reflect on the problems, we as a universe, are going through and think of solutions that me, as an individual, can contribute. This not only helps me exercising my brainstorming muscles but also helps me in getting a different perspective in looking at problems.

Professionally, I work as a Product Manager at Goldman Sachs Accelerate-funded business, CostQ. A digital platform for modelling and analysing firms most complex strategic opportunities, from entity optimisations to acquisitions.

I can be reached through my LinkedIn profile or via the contact form below!

 
 
Aug 2021 - Present

Product Manager

Goldman Sachs
  • Identified a reconciliation issue while integrating CostQ with Credit Risk models which resulted in increasing the data quality and ultimately reduced capital requirement by $5Bn, for the firm

  • Responsible for instituting Agile framework thereby improving prioritisation of the backlog and increasing the velocity by 20%

  • Developed a python script for recommending optimized scenario to the users as a proof of concept which was later productionised in Kotlin by the development team, which brought down the average execution time from 15mins to 20 secs

  • Responsible for hosting user council to elicit user feedback thereby increasing user growth by 35% in two months

  • Leading the product vision and roadmap for CostQ by collaborating with internal research and user teams to drive the feature prioritization and product delivery

  • Responsible for delivering commercially viable product through iterative development by incorporating data, user research and market analysis to inform product strategy and roadmaps

  • Leading delivery of CostQ user acceptance testing and rollout across divisions

  • Working closely with the board and teams across organisation to define a go-forward vision for CostQ product deployment

Aug 2019 - Aug 2021

Product Manager

Morgan Stanley
  • Product Manager for two teams, managing a squad of of 25+ developers and business analysts – responsible for conducting agile ceremonies, lead the scrum and development teams in self-organization

  • Formulated a Straight Through Processing index along with a dashboard for generating actionable insights and summarizing data findings as a part of the firm’s ‘Platform Front-to-back’ initiative – increased data processing speed by 20% by using parallel processing for large datasets

  • Managed a project, RROE, impacting 60,000+ users by breaking down complex business requirements to articulated user stories for the engineering team while also managing resource constraints under severe conditions

  • Steered a critical FED-required Credit Lending Reporting project by improving data quality of Mortgage product which involved aligning and negotiating timelines with senior-level stakeholders thus helping Morgan Stanley comply with peer companies’ reporting quality

  • Single-handedly managed a troubled Multi-Collateral Loan Processing project by making engineering trade-off decisions and leading the effort with negotiating timelines, leading to the potential increase of $3MM/year in revenue opportunity

  • Optimized the workflow process by introducing onboarding calls thereby increasing the project intake of worth $0.5MM/quarter and increasing turnaround time by 5%

Aug 2018 - Present

Adjunct Instructor

NYU Center for Data Science
  • Conducted lectures for the 'Introduction to Machine Learning' graduate-level course and authored lab materials for the same

Jun 2018 - Aug 2018

Technology Summer Analyst

Morgan Stanley
  • Built a referential data retrieval application which will be used by Municipal Bond Traders and Strats in order to make trades and retrieve information for a particular municipal bond

  • Redesigned the application with triggers for different types of municipal bonds which led to an increase in time efficiency by 30% for the municipal bond traders

  • Leveraged Windows Presentation Foundation (WPF) to develop the application in C# and XAML

Feb 2018 - May 2018

Product Data Analyst

NYU: Office of Dean​
  • Responsible for the stakeholder management with the NYU Dean’s office to strategize student retention problem thereby increasing student retention by 25% using data analysis and forecasting

  • Reengineered the university ranking formula and curated an algorithm to estimate the factors affecting NYU Rankings potentially contributing to an improvement in NYU’s World University Rankings from 52nd position (in 2018) to the 35th position (in 2020)

Mar 2017 - Aug 2017

Co-Founder

Cafe Enginerd
  • A non-profit organization to re-innovate the process of career selection in the field of engineering for Indian students

  • Co-ordinated with professionals from different industry and students who were eager to contribute to this organization

  • Conceptualized the process and used Google Marketing Tools to expedite the process of reaching out to the mass audience

Jun 2016 - Nov 2016

Software Engineering Intern

Indian Institute of Technology: Bombay
  • Developed different modules for an Android Application using Google Firebase Cloud API to auto generate medical reports

  • Resolved the data passing issue by using AWS Data Pipeline which helped to transfer data from AWS S3 to AWS Dynamo DB

  • Developed an alternative for generating Android files in Python to Java using the Kivy Platform.

Sep 2015 - Nov 2015

Co-Founder

Baking Bytes
  • Co-Founded a startup initiated to encourage young entrepreneurs with limited technical knowledge by undertaking their project requirements and objectives and achieve the ultimate business model.

  • A technology solutions group which helped small size local businesses to develop web and android applications thereby generating revenue of $1k/month

Jun 2015 - Aug 2015

Android Developer

CATKing India
  • Developed an Android Application ‘Mia-Mia’ to help users search for anything ranging from salons to hotels to tuition classes. 

  • Integrated Cognalys library, a Multi Platform Mobile Number Verification Library which made mobile verification convenient and hassle-free. 

  • Designed the User Interface using Material Design library which made the application easy and simple to use. 

New York City
EXPERIENCE
 
PROJECTS
New York City
PROJECTS

Deep Learning

An application which would take in any voice input, would convert it to Obama's voice and create a video of Obama saying the same thing you gave as a voice input but in Obama's voice

Github

Obama Deep Fake

Sentiment Classification using CNN-LSTM

Performed sentiment classification by using sequence models and is trained on the IMDB Movie review dataset and will learn to classify the sentiment as positive or negative.

Github

Implemented a CNN using PyTorch on the CIFAR10 dataset. The convolutional layers would do the feature extraction, but classification is still being aided by the fully connected layers

Github

Image Recognition using CNN-Pytorch

Vanilla Neural Network

Implemented a fully connected neural network in python using just the matrix operation library The network consists of a minimum of two hidden layers (other than the input and the output layer).

Github

Machine Learning

Predicted the temperature of a given city and major greenhouse gases affecting it across a specific time period, using an ARIMA model for time series forecasting in Python

Github

Global Temperature Change Prediction

Climate Change and its impact on health

 

Identified the AQI levels of different gases and analyzed the correlation between temperature, deaths, and pollution.

Github

 

Performed sentiment classification using ensemble learning on tweets. 

Github

Twitter Sentiment Analysis

Other Projects

A robotic arm which rotates and revolves around its axis to perform various functions where the programming was done in Python using Computer Vision

Github

Selective Compliance Assembly Robotic Arm

Android Chatbot using Api.ai

 

An android chatbot where Api.ai is used for machine learning and firebase is used to store the data

Github

 

This is the app for retrieval of data from firebase

Github

Information Retrieval from Firebase

 
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FINANCE NOTES
 
New York City
CERTIFICATIONS
 

Elastic Cloud Infrastructure: Scaling and Automation

Google Cloud
View Certificate
 

Essential Google Cloud Infrastructure: Foundation

Google Cloud
View Certificate
 

Essential Google Cloud Infrastructure: Core Services

Google Cloud
View Certificate
 

Machine Learning

Stanford University
View Certificate
 

Big Data - Fundamentals

IBM
View Certificate
 

GCP Fundamentals: Core Infrastructure

Google Cloud
View Certificate
 

Reliable Google Cloud Infrastructure: Design and Process

Google Cloud
View Certificate
 

Microsoft Azure Fundamentals

Microsoft
View Certificate
 

Introduction to Software Product Management

University of Alberta
View Certificate
 

Introduction to Corporate Finance

Wharton Online | The Wharton School
View Certificate
 

 
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CONTACT ME