Hello! I'm Ameya
Outcome-driven product manager with entrepreneurial experience, responsible for leading cross-functional teams to plan, build, deploy, and maintain data warehouse projects across different banking products at Morgan Stanley.
Technical expertise in Deep Learning and Cloud along with hands-on experience in Design Thinking, Roadmap Creation, Strategy Planning & Execution.
I can be reached through my LinkedIn profile or via the contact form below!
Nov 2019 - Present
Pioneering the 'Design Thinking' framework for current projects inside Morgan Stanley's banking divison
Facilitating a team of 5 people for a critical regulatory reporting project potentially saving the firm $1MM/year in expenses
Streamlined the client invoicing and operational process while accelerating accurate reporting for mulit-collateral loan processing which led to the potential increase of $3MM/year in revenue opportunity
Storyboarded and visualized a product roadmap for multiple banking products along with their milestones and release timelines thereby increasing the efficiency of delivery planning and time estimation
Aug 2019 - Nov 2019
Business and Data Analyst
Formulated a Straight-Through-Processing index for each business process by performing cross-platform analysis as a part of the firm's 'Platform Front-to-back' initiative potentially saving the firm $5MM/year in operational expenses
Launched a web dashboard for developing insights and creating reports for the test plans stored by teams at the firm, currently in use by DevOps team
Reduced the data processing time by 40% and disk utilization by 80% by formulating a python script which would do parallel processing and data cleaning on-the-fly using multi-threading
Aug 2018 - Present
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
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
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-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
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.
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
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.
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
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).
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