Profile

Soumyajyoti Banerjee

Senior Data Scientist at Swiggy l Ex-Amazonian l Ex-Curefit l Ex-Visa

Soumyajyoti Banerjee is a Senior Data Scientist at Swiggy, with 7.87 years of relevant experience. He has previously worked with Amazon, Curefit, and Visa. Soumyajyoti is a skilled technocrat who is proficient in Machine Learning, Natural Language Processing, and Big Data technologies like

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9.1

Years of Experience

Education

iit roorkee indian institute of technology roorkee, iiest shibpur indian institute of engineering science and technology iiest shibpur, uttarpara government high school

Companies

swiggy, amazon, cult.fit, visa, paypal, ibm, indian institute of technology roorkee, polaris networks

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Experience

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    2022 - Present

    swiggy

    Senior Data Scientist

    Currently working on Promise Models. These projects are fuelling better CX and helping to optimise CPD. Delivered multiple project involving predicting leg time of the order cycle. These projects helped to optimize the delivery cycle as well as adhering to promises. These projects involves 1. Big data technologies 2. Regression 3. Deep learning 4. Explainability of the models 5. SOTA Architectures for tabular data (Tab Transformer, FT Transformers & Wide & Deep network) 6. Gen AI (langchain, llm) Experimented with different types of transfer learning technologies, MIMO architecture and embedding techniques to improve the model and extract the business impacts. These architectural changes helped the model to understand the inter dependency of events and impacts at the same time. Technologies used: 1. Pyspark 2. Aws 3. Data bricks As well as helping team members to come up as unit and a significant contributor of the entire eco system.

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    2019 - 2022

    amazon

    Data Scientist II

    Working on Amazon Finance Automation. Projects deals with NLP, Classification and Clustering. Implementing using Big Data technologies. 1. Developed Automated invoice categorisation framework In this Project created a framework where all the invoices and purchase order will get categorised with pre defined categories. For this problem I have used random forest model for this multiclass classification. As the data is mostly in text form, used HashingTF to convert that to vector. Accuracy : 98.23\% based on invoice count and 96.45% based on spend 2. Developed analysis framework on CBCC Application and GMS penetration in JPCP In this Project created a framework where it will automatically evaluate month on month and YoY growth of CBCC GMS penetration and if any anomaly found it will notify stakeholders regarding that. And Based on requirement anyone can check if the anomaly is coming from any pre defined sets like Prime Non-prime, NTA Non-NTA. Impact: It reduced almost almost 15 man hours monthly to check that if any changes in CBCC GMS penetration in JPCP.

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    2017 - 2019

    cult.fit

    Data Scientist

    Working on user behaviour and user segmentation based model development. Using time series based models, Neural Networks and Statistical Models. Technology and libraries: Python, SQL, pyFlux, Keras, Tensorflow, theano, Scikit learn, pytorch

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    2015 - 2017

    visa

    Senior Software Engineer

    working on Spark, Hadoop, Hive, HDFS, Machine Learning, Deep Learning and Big data. Developing a framework which can identify Merchant's name and location using Machine Learning and Natural Language Processing with tools such as Hadoop, Hive, Spark, Pig, Python, Java etc. The framework involved developing a new algorithm for fuzzy string matching with robust phonetic and distance based metrics and incorporating n-gram based filtering to reduce the search space.

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    2015 - 2015

    paypal

    RCG 2015

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    2014 - 2014

    ibm

    Exterme Blue Summer Intern

    Optimize IBM JVM (J9) Garbage Collector (GC) for OSv Ballooning in BlueMix.  Objective : Gained knowledge on various garbage collection policies.  Objective : Worked on code to use generational garbage collection in BlueMix and OSv. Worked on Generational concurrent garbage collector and developed intelligent way of ballooning to share unused JVM memory among several VMs.

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    2013 - 2015

    indian institute of technology roorkee

    Teaching Assistant

    1. Tutorial class of Automata Theory. 2. Tutorial class of System programming.

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    2012 - 2012

    polaris networks

    SUMMER INTERN

    Worked on 4G LTE technology. Worked on testing application of S Gateway  Objective : Gained knowledge LTE.  Objective : Worked on code of testing application of S Gateway

Experience

84 Skills

algorithms

android

Android

apache

Apache Hive

Apache Spark

Application Programming Interfaces (API)

architecture

architectures

Artificial Intelligence (AI)

Augmented Reality (AR)

Automation

Azure

Big Data

c++

c/c++

Cloud Computing

Collaboration

Data Mining

data scientist

Data Scientist

data structures

deep learning

Deep Learning

Design

finance

Flask

forecasting

Git

github

GitHub

Google API

hadoop

Hadoop

Hive

Information Technology

java

Java

kafka

Kafka

keras

Keras

Kernel

LaTeX

LESS

LTE

Machine Learning (ML)

Microsoft Azure

ml

Mobile

mysql

Natural Language Processing (NLP)

neural networks

Neural Networks

NumPy

OOP

open source

operations

optimization

pandas

Parts-of-speech

Polygon

python

Python

Pytorch

Random Forest

Research

Research Scientist

sas

Scikit

Scikit-Learn

Search

security

social media

Software Engineer

spark

Spring

sql

SQL

tensorflow

Tensorflow

test

testing

Windows

Education

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    2013 - 2015

    iit roorkee indian institute of technology roorkee

    Master of Technology (M.Tech.)

    Computer Science and Engineering

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    2009 - 2013

    iiest shibpur indian institute of engineering science and technology iiest shibpur

    Bachelor of Engineering (BE)

    Information Technology

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    1998 - 2009

    uttarpara government high school

    Higher Secondary

    Science