IPSITA MOHANTY

412-***-**** adgp6z@r.postjobfree.com LinkedIn Profile San Jose, CA - 95134

EDUCATION

CARNEGIE MELLON UNIVERSITY Pittsburgh, PA

Master of Science, Information Technology (GPA 3.53) May 2018 KIIT UNIVERSITY Bhubaneswar, India

Bachelor of Technology, Computer Science and Engineering (GPA 3.86) May 2008 SKILLS

Highlights: Investment Banking and Financial Services, Design and Architecture, Machine Learning, Agile Development Languages: C++, Java, Python, PySpark, R, SQL, REST, HTML Machine Learning Stack: numpy, pandas, sklearn, xgboost, tensorflow, keras Database: Oracle, Sybase, MySQL, MongoDB, Cassandra, Redis Certifications: Professional Scrum Master I

EXPERIENCE

WALMART LABS Sunnyvale, CA

Software Engineer, Machine Learning (Technical Lead) - AI Stores April 2019 - Present

• Lead team of 4 to develop machine learning and optimization models at scale, to help accurately forecast revenue and demand for apparel business to help merchants effectively quantify buy, decide store assortments, and evaluate category performances

• Modelled Sequence-to-Sequence LSTMs architectures, XGBoost for time series forecasting and focused on feature engineering to fine tune the models for accuracy and performance

• Implemented KMeans Clustering with PCA for dimensionality reduction for customer and market segmentation

• Designed experiments to evaluate the model performances and identify customer decision makings patterns to improve the customer penetration and effectively drive revenue by increasing the sales of products

• Drove client engagements to identify business problems and deliver business insights using machine learning to help merchant decision making

Software Engineer, Backend – Merchant Technology, e-Comm Catalog Aug 2018 – April 2019

• Architected an end-to-end scalable Kafka consumer with async flow solution to replace an existing catalog item setup lookup functionality to achieve 150% performance improvement

• Designed and implemented flows to understand the item setup contents using machine learning models to detect anomaly and provide business insights to product teams

• Built and Managed APIs for internal and 3rd party vendors to setup items and update product attributes including pricing on catalog inventory

GOLDMAN SACHS Bangalore, India & London, UK

Associate, Securities (Quant/Tech Strat, Manager) – Equity Prime Services Dec 2014 - May 2017

• Led team of 6 to build and enhance Client Analytics Platform to estimate and explain client’s profitability to GS using various tools and metrics

• Applied machine learning and deep learning models for forecasting revenue and applied optimization model for maximizing returns

• Designed and developed RESTful Web Service, Pricing engine for performing “what-if” scenario analysis to estimate profits, capital footprints and returns of prospect clients, helping sales and management make informed investment strategies

• Drove client engagement and managed product development for Fund Analytics, a performance analysis tool for our hedge funds clients to measure against peer benchmarks

• Delivered Prime Services Client-at-Glance, a web application to provide snapshot of client books, and predictive analytics over historical performance for senior management, sales and finance teams Analyst, Securities (Quant/Tech Strat) – Asset Management Jun 2011 - Dec 2014

• Served as lead backend developer for designing tradable and onboarding trade flows for Dodd-Frank Act compliant centrally cleared IRS/CDS/CDX on Order Management System. Steered project deliverables with 50% more efficiency, achieving time to market within 10 months

• Automated Scenario Testing for Trades and handled end-to-end UAT for Trade flows

• Served as key developer for Sentry – Guidelines and Compliance Management System to enhance pre and post trade compliance checking capabilities

AMDOCS Gurgaon, India

Subject Matter Expert June 2010 - June 2011

• Served as key C++ developer for Indian telecom regulatory requirement of Multi Number Portability enablement for Videocon Telecom.

TATA CONSULTING SERVICES Bangalore, India

Assistant Systems Engineer June 2008 - June 2010

• Served as key VC++ developer for trading financial application for Deutsche Bank, Singapore ACADEMIC PROJECTS

Handwriting Recognition System, Carnegie Mellon University Spring 2018

• Label images of OCR by implementing Deep Learning from scratch

• Built a single-hidden-layer neural network with sigmoid activation for hidden layer and a SoftMax on the output layer

• Optimized and Hyper-Parameter tuned the Average Cross-Entropy Loss using SGD gradients computed through backpropagation Flight Information Extraction, Carnegie Mellon University Spring 2018

• NLP on Airline Travel Information System (ATIS) using multinomial logistic regression from scratch

• Implemented Feature engineering and SGD over large dataset of Natural Language to optimize Average Log-Likelihood Stack Exchange Keyword Extraction, Carnegie Mellon University Fall 2017

• NLP on large dataset from the Stack Exchange sites and predicted the tags, given the question text and its title.

• Built Machine learning pipeline using Associative Rules, Unsupervised Learning techniques of K-Means clustering and Multiclass-Multilabel Stochastic Gradient Descent Classifier. Network Intrusions & Anomaly Detection, Carnegie Mellon University Fall 2017

• Built a network intrusion detector on R combining the techniques of both supervised and unsupervised learnings

• Evaluated against several models to determine the suitability. Used K-means clustering in combination with Mahalanobis distance to determine anomalies and extend the findings to determine if anomalies were seen previously. e-Commerce Server-Side Application, Carnegie Mellon University Summer 2017

• Created an AWS based e-commerce REST application using NodeJS, MongoDB, Redis, and load tested using Artillery

• Architected and built this highly scalable e-commerce system with an average network latency of 150 milliseconds

• Achieved high throughput and availability with a maximum of 1000 concurrent user EXTRA CURRICULARS

• Anita Borg, Grace Hopper Conference (GHC), 2020, AI Track Speaker Selected as an alternate for submission - "Generate Ballad Lyrics Using AI: A Step Closer Towards Augmenting Human Creativity" at GHC, 2020. Waitlisted for GHC 2021

• Anita Borg, Grace Hopper Celebration (GHC), 2020 Core Committee - Software Eng. Track and Mentoring Circles Reviewed academic and corporate submissions for presenters and topics under various categories Will judge presentations and workshops in Oct 2020 to provide feedback for improvements to future GHCs

• ACM Richard Tapia Conference, 2020 Core Committee – Scholarship Reviewer Reviewed Diversity in Computing scholarship applications including faculty recommendations for graduate and post-graduate students in STEM majors

Reviewed grant applications from university faculties representing minority communities for Tapia 2020

• Extended Lead for Exposure Pillar of Women of Walmart Labs and various ARG diversity communities

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