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Laishaw

Laisha Wadhwa

Data Engineer@Goldman Sachs | Podcast Host| Global Ambassador, WomenTech Network| Tech Speaker| Serial hackathon winner

I am currently working with Goldman Sachs and building all things data @Marcus by Goldman Sachs, India. I am a big-time Machine Learning aficionado. In the past few years, I have worked with Computer Vision and Music Genre Analysis. While I am not working, I build AI and ML-based applications for social good and work on building applications at scale while at work. I love participating in hackathons. I am a serial hackathon winner (Microsoft AI hackathon, Sabre Hack, Amex AI hackathon, Icertis Blockchain, and AIML hackathon, Mercedes Benz) and people often call me "The Hackathon Girl". I am a tech speaker, tech blogger, podcast host, hackathon mentor @MLH hacks, technical content creator at Omdena, and Global Ambassador at Women. Tech Network. I believe in hacking my way through life one bit at a time.

Projects

RadarFi

DeFi security solutions you can trustPython, AWS, Web3.py, Graph

XVote

Vote from any chain you wantSolidity, React, JavaScript

RadarFi

Real time risk and fraud monitoringGraphQL, Python, AWS

Skills

Python
TensorFlow
Spark
Computer Vision
Data Analytics

Experience

  • Delhivery - Applied Data Science Intern
    May 2019 - August 2019
    1. Developed a microservice for CCTV surveillance to monitor warehouse employess in real time. Deployed the service using Docker and AWS.
    2. Worked on an end to end system for tracking and counting shipments on conveyor belt in warehouses to optimize supply chain operations.
    3. Developed a prototype for automated product taxonomy prediction from product description.
  • Perspect.ai - Data Science Intern
    May 2018 - July 2018
    1. Worked on adding more feature points for talent assessment product, Perspect.ai (VR game for talent assessment) using python libraries.
    2. Researched on rig motion analysis for game player to analyse feature points.
    3. Analysed game and player data for VR games to assist in skill set identification and personality analysis.
  • Couture.ai - Machine Learning Engineer
    January 2020 - March 2021

    => Worked on enhancing the user experience on Fashion E-commerce website ajio.com - Personalised Product
    Rankings and recommendations.
    => Worked on Machine Learning driven methodologies to enhance Product Listing Page and make personalized.
    Listing pages for users.
    => Worked on optimizing the ETL and Deep Learning pipelines for retail use cases.
    => Implemented a Dynamic pricing engine for E-commerce platform AJIO using price elasticity and data driven
    insights using Time Series Analysis and Predictive Modelling.
    => Worked with Apache Airflow, Hadoop, Apache Nifi, Superset, Spark Scala, and Python.

  • Goldman Sachs - Software Engineer
    April 2021 - Present

    Working with the consumer and wealth management team to build data management frameworks at Marcus
    by Goldman Sachs in the lending LOB.
    => Design and develop data ingestion and transform processes. Model data from multiple streams.
    => Built a generalized framework for onboarding on prem data to cloud and bring the processing time down by
    2 hours.
    => Implemented a ML based PII info masking framework to share sensitive data across firmwide teams.
    => Technologies used: Apache Airflow, Hadoop, AWS, Databricks, PySpark SQL, Postgresql, and Python