Nishant Nath

2687 Orchard Ave · Los Angeles, CA 90007 · (213) 327-9649 ·

Data Sc. & Python Developer seeking a challenging role for leveraging his extensive experience in Machine Learning.


  • Strategic Thinking: Able to identify opportunities in small to large data sets for data-driven strategies that fuel growth

  • Modeling: Design and implement statistical/predictive models and cutting edge algorithms in Machine Learning

  • Analytics: Capable of turning dry analysis into significant trends that influences direction of business

  • Process Oriented: Extensive experience working in SCRUM/Agile SDLC. Thrilled to work in a fast-paced environment


Sr. Software Engineer

Leaf Group Ltd.

Multi-touch attribution driving cross-domain traffic to boost growth by double-digit % QoQ and YoY. Visual Search and context-aware recommendations keep driving repeat buyers and customer engagement is up almost 200% since 2017 Q1. Smarter customer segmentation and targeted ad-campaigns drove 4X conversions. Optimizing ad-spends using LSTM/RNN based seasonal-aware predictors increased ROI by over 13% since 2017 Q3. Aid business leaders in data-driven growth-hacking and decision making.

Machine Learning driven content renovations and editorial calendar had boosted growth > 20% QoQ as well as YoY, RCP recommendations and cross domain traffic bouncing has resulted in building a strong ecosystem of engaged readers across several verticals and business unit.

Spear-headed cross-team automation between finance, accounting, programmatic, retention and marketing leading to higher productivity and faster decision making. Market-aware script-controlled ad-bidding has resulted in increase of YoY Revenue by over 10% in a declining market.

Jun 2016 - Present

Software Engineer Intern (Data Science)

Leaf Group Ltd. (previously Demand Media Inc.)
  • Developed an entire ecosystem from scratch of media-monetization including intelligent categorization, revenue-opportunity predictions, dynamic editorial calendar and active topic influencing.
  • NLP driven content summarization helped reduce about 5M verbose early 2010-styled webpages to modern-succinct articles including dynamic categorization offsetting penalties by Google Updates to improve traffic & SEO.
Jan 2016 - May 2016

Graduate Student Worker

FMS (University of Southern California)
  • Improved productivity by over 30% by designing a Web-based query and database management system.
  • Data driven process improvement for reducing project timelines for projects over $150m
  • Review of Building (Electrical) Plans as per local, state and federal building standards
Oct 2014 - Dec 2015

Assistant Systems Engineer - Trainee

Tata Consultancy Services

Development of BI Application Suite for Philip Morris Int'l Inc (ETL, Data Warehouse – Design/Maintain)

Jul 2013 - Jun 2014

Summer Intern

DRDO (Video-Data Analysis Systems Lab)

Optimization of a patented Image Correlation System used in INDIA’s missile systems (improved accuracy by over 7% in severe low-light conditions and almost 1% in day-light conditions)

Jun 2012 - Jul 2012


University of Southern California

Viterbi School of Engineering
Master of Science
Electrical Engineering - Signal Processing & Machine Learning Track
Graduate Student Chair - IEEE @ USC
Aug 2014 - May 2016

Siksha 'O' Anusandhan University

Institute of Technical Education and Research
Bachelor of Technology
Chief Coordinator - Chakravyuh 2012 (Annual inter-collegiate techno-management festival)
Chief Coordinator - ITER Robotics Club
Sep 2009 - May 2013

Programming Languages & Tools

Programming Languages
Python, R, BASH
basic familiarity with C/C++/Java/Go/Javascript/HTML/Objective-C/Swift/Embedded-C

Tableau, Looker

Relational - MySQL, Microsoft SQL Server, PostgreSQL, SQLite
Columnar - Redshift, Bigquery
NoSQL - Couchbase, mongoDB, Google Bigtable

Cloud Stack
AWS (Redshift, S3, RDS, SES, EC2, ES)
GCP(Storage, BigQuery, cloudSQL, cloudBigTable)
basic familiarity with Docker

APIs - building internal APIs & connecting to 3rd party APIs


Engineer by day, doting husband by night. I enjoy most of my time being outdoors. I am an avid hiker and novice skier. I dabble in the kitchen usually trying out my mom's recipes and failing more often than i'd like to admit.

When forced indoors, I follow a number of sci-fi and fantasy genre movies and television shows. I love reading, be it a magazine, novel or article on the web.

Projects & Publications

  • Laughter Valence Prediction in Motivational Interviewing Based on Lexical and Acoustic Cues, Interspeech 2016
  • Hybrid System for Machine Learning on Noisy Large Scale Datasets for Predictive Analytics on Music
  • Development of bi-modal speech-prosodic & para-linguistics approach for emotion detection in speech
  • Development of novel Audio Source Separation Tool on iOS (BSS/Supervised-BSS)
  • Development of Custom Humanoid as Human Companion
  • A Novel Approach to Skew-Detection and Correction of English Alphabets for OCR, IEEE SCoReD, 2012