Aashish Chaubey

Hi, I'm a Data Scientist @ Alten Calsoft Labs where I work primarily on building machine learning pipelines through fully integrated data and AI platform that modernizes how businesses collect, organize, analyze and model data to infuse AI throughout their organizations. I have previously worked with IBM ISL and hold a good experience working with multiple clients and leading teams of various sizes.


Data Scientist

IBM India Software Labs · Bangalore, India

  • Executed comprehensive inferential statisticsand recommend solutions to address complex business problems and issues using data from internal and external sources and applied advanced analytical methods to assess factors impacting growth and profitability across product and service offerings.
  • Applied Machine Learning techniques such as Random Forest, Naïve Bayes, Gradient Boosting, Linear Regression, etc. on various data sets to understand the nature of the Data Sets.
  • Spearheaded education initiatives with cross-organization collaboration, facilitating audiences to understand AI & ML techniques.
  • Applied Deep Learning architectures such as BERT, MobileNet, T5, VGG, etc. for various complex and large projects with large data sets.
  • Coached, developed, and motivated team members, providing coaching and mentoring to junior data scientists on AI and machine learning techniques.
  • Have extensive experience of working with IBM AI tools, i.e., Watson Assistant, Watson Discovery, Watson Natural Language Understanding, Watson Knowledge Studio, etc., and architecting a solution as an individual contributor.

June 2018 - Present

Intern - Full Stack Developer

IBM India Software Labs · Bangalore, India

  • Part of the core team responsible for designing and developing an enterprise-grade product within a period of 6 months and deploying it on IBM Cloud.
  • Responsible for working on the front end side of the project which made use of React framework and other state-of-the-art techniques which reduced the load time on the browser resulting in customer satisfaction.
  • Responsible for creating APIs with the middleware team and integrating it into the web app.
  • Closely collaborated with the research team, data science team, and the offering manager to understand their insights and improve the web app performance.

January 2018 - June 2018


PES Institute of Technology

Information Science Engineering
Computer Science - AI and ML specialization

GPA: 8.2

August 2014 - May 2018


Programming Languages
Tools, Libraries & Techniques

    Numpy / Pandas / Scikit Learn

    Pytorch / Tensorflow / Keras

    Spacy / HuggingFace

    IBM Cloud & AI tools


    Predictive Modeling & Analytics

    Time Series Analysis

    Sentiment Analysis

    Deep Learning


    RDBMS / SQL / MSSQL / Postgres

  • Custom pipeline for custom NER classification using Spacy and HuggingFace library.
  • Object classification using Transfer Learning based pretrained MobileNet v2 and deploying it on edge android device using Tensorflow Lite .
  • Credit Card Fraud Detection and user segmentation/profiling.
  • Root Cause Analysis and predicting time to failure of heavy duty machines.


Apart from being a programmer, I enjoy most of my time being outdoors. Usually I go for biking when the mercury level keeps low and play any kind of outdoor games. I love to travel, the experience hasn't been all that fun yet but I wish to go on a world tour one day.

When forced indoors, I like to read, blog and watch old hindi movies, I am an aspiring chef, and I spend a large amount of my free time exploring the latest technology advancements in the machine learning world.





Awards & Certifications

  • IBM Certified Data Scientist
  • 3 Managers Choice Awards - IBM India Software Labs · 2018 - Present
  • 1 st Runner Up - Hedera Hackathon - Hashgraph Hackathon · 2019
  • 2 nd Runner Up - Cybervien Hackathon - Ethereum based Crypto Hackathon · 2019
  • Best Solution Award - Dora Hacks - Machine Learning Solution for efficient transactions · 2018
  • Avid Readers Award - St. Xavier's High School · 2011