Nishant Nath
Sr. Software Engineer
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About Me

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

My Skills

Strategic Thinking

Able to identify opportunities in small to large data sets for data-driven strategies that fuel growth.

Modelling

Design and implement statistical & predictive models and cutting edge algorithms in Machine Learning.

Analysis

Extensive experience working in SCRUM & Agile SDLC. Thrilled to work in a fast-paced environment.

Process Oriented

Extensive experience working in SCRUM & Agile SDLC. Thrilled to work in a fast-paced environment.

Languages

  • Python

  • SQL

    • Columnar: BigQuery / Redshift / Postgres

    • Relational: MySQL / SQL-Server / Oracle

    • NoSQL: Couchbase / MongoDB

  • R

  • Bash / Shell

  • Tableau / Python-based-Viz

  • WebTech: HTML / JS / CSS

  • DevOps

  • Minor Experience: C / C++ / Java

Tools

  • Cloud: AWS / GCP

    • Storage: S3 / Glacier / GCS

    • DB: RDS / CloudSQL / BigTable (minor)

    • AWS Tools: SES / Datapipeline / ES / VPC / Rekognition

    • GCP Tools: Vision / Natural Language / Video / AutoML

    • Compute: EC2 / Lambda / Compute Engine / App Engine

  • Project Management

    • GIT

    • JIRA / Asana / Trello

    • Documentation & Wiki

  • Schedulers: ActiveBatch / CRON / Airflow

  • Google: Analytics / Tag Manager / Ads

Resume

  • Experience

  • Leaf Group Ltd

    Sr. Software Engineer
    Jun 2016 - Present

    End to End responsibility for all major data-science projects including Recommendation Engines, Multi-touch Omni-channel Attribution & Customer segmentation for Ads/Marketing, Implemented scalable prediction algorithms for revenue, inventory and traffic. Visual Search, Logo and Copyright Violation Detection. Email-driven customer retention campaigns for reduced customer churn rates. Drove improvements in ROI across the board. Aided business leaders in data-driven decision making by providing insights and visualization using Tableau. Architected, Optimized & Scaled Data-pipelines using AWS/GCP while saving over $250K in annual infrastructure costs (2018 vs 2016). Connected to 25+ APIs for data augmentation. Built various microservices using Python/Flask to aid teams in sharing data more effectively & securely.

  • Demand Media Inc

    Data Science Intern
    Jan 2016 - May 2016

    Developed an ecosystem of improved media-monetization by intelligent categorization, revenue-opportunity predictions, AI-driven editorial calendars. Performed adhoc analytics on millions of articles for topic detection, image-matching and content removal (poor & duplicate).

  • Tata Consultancy Services

    ASE-Trainee
    Jul 2013 - Jun 2016

    Developed Suite of ETL applications for Philip Morris Int’l Inc

  • Education

  • University of Southern California

    MS-EE
    2014 - 2016

    Signal, Image & Speech Processing, Machine Learning, NLP & NLU
    Published 1 Paper, Several Projects in Blind Source Separation

  • ITER, S'O'A University

    B.Tech.
    2009 - 2013

    Robotics, Signal & Image Processing, Computer Vision
    Published 2 Papers on OCR, Several Projects in Robotics & Comp. Vision

Freelance/Volunteer Work

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