Ninad K. Email & Phone Number

California, United States

Seattle, WA, US

Customer facing scientist delivering ML to customers.

Seattle, WA, US

Seattle, WA, US

Walldorf, BW, DE

• Developed a commodity goods retail forecasting application on extremely sparse time series data using Python, pandas, and scikit-learn to improve sales efficiency of a large commodity goods retailer that is consumable by.
• Developed deep learning models to perform Optical Character Recognition (OCR) to extract text from natural images
• Saved over 20% in energy costs of a large retail mall by utilizing forecasting techniques with high volume sensor data
• Increased user purchase rate on the Ariba network by designing and implementing an item based recommendation system utilizing Information Retrieval and Recommendation system concepts
• Utilized Natural Language Processing (NLP) and clustering techniques on item description data to segment suppliers on the Ariba network to provide an additional heuristic for future machine learning models
• Reduced food spoilage and waste for a retail client by designing and implementing a forecasting model to predict future bakery sales to be used by bakery managers

La Jolla, CA, US

Winter 2016: Graduate Teaching Assistant for ECE 25: Introduction to Digital DesignFall 2016: Graduate Teaching Assistant for ECE 100: Linear Electronic SystemsWinter 2017: Graduate Teaching Assistant for ECE 25: Introduction to Digital Design

• Designed and implemented a multi-class classifier using Neural Networks and Support Vector Machines in Python to correctly identify bacteria given DNA melt curves as well as detect anomalies not present in training data
• Designed and implemented a pre-processing pipeline that took as input raw bacteria DNA melt curves and output the cleaned melt curves for the multi-class classifierD. Ortiz, H. Mack, J. Jupe, S. Hawker, N. Kulkarni, B..

San Francisco, CA, US

• Designed and implemented a ”People Also Viewed” job ranking and recommendation system based on job click history to increase traffic and improve user engagement using Information Retrieval and Recommendation System.
• Wrangled gigabytes of search and click data and trained a linear model to rank job recommendations based on job co-occurrence
• Interacted with Product and Engineering managers using Agile methodology to ensure that the product can be implemented in current website

San Jose, CA, US

• Designed an automated demand shaping system in R and RapidMiner using the Frequent Pattern Growth algorithm to push data driven recommendations to customers and improve inventory management
• Designed and implemented in Python a Naive Bayes email classifier to automate SSL Certificate generation requests
• Designed and implemented a comparison tool in Python to track changes in the Bill of Materials
• Outlined the scope of diagnostic tests to ensure no component of any of the Nexus 9000 products are being neglected by current system diagnostic tests

San Jose, CA, US

• Design for Manufacturing (DFM) checks for next generation 100 GbE Fixed Switch using Cadence Alegro and Cisco Valor.
• Identified and solved trends in manufacturing failures of various switches and routers
• Designed a Transfer of Information (TOI) of the entire Nexus 9000 Fixed and Modular Switch systems to be used by future new hires and those unfamiliar to the product line.
• Drafted documentation for DIMM rework of the N9K-9336PQ ACI Spine Switch. Documentation allowed Flextronics Guadalajara to perform DIMM rework and meet First Customer Ship (FCS) deadline.

• Designed and implemented hardware and firmware to interface Bluegiga Bluetooth Low Energy chip with Amperometry/Voltammetry/Humidity sensors using SPI and I2C interfacing for wearable devices
• Designed firmware for BLE module using BGScript and C to enable sensor readings available to mobile application via Bluetooth
• Verified sensor readings by utilizing an established electrochemical cell model

• Set up a local and multi-node Twitter Storm cluster on a Ubuntu Server and designed a Twitter Storm topology in Java that would modify contents of a MongoDB database
• Interacted with Business analyst, QA members and team members to develop the specifications for product.
• Extensively involved in complete SDLC process including product architecture design, middle tier business logic, development, implementation, integration and unit testing

Master’S Degree, Electrical And Electronics Engineering - Machine Learning

Bachelor’S Degree, Electrical And Electronics Engineering