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About
• Data Scientist@Ericsson Research | Ex-Yodlee |CSE@IITKGP | Software Engineer | Machine Learning | NLP | Computer Vision • 5+ years of experience in developing highly scalable machine learning solutions • Developed multiple machine learning pipelines and enterprise AI solutions with direct revenue impact
Experience
experience
Ericsson Research
Data Scientist (Full time)
1 Feb 2019   -  Current
• Worked on Deep Learning Based Object Detection Model which led to better customer satisfaction and reducing 30% operational cost • Worked on OpenCV, Tensor flow, TFLite, On-Device Intelligence • Worked on Clustering and multiple classification models on time series and structured data • Worked on information mining from pdf document using NLP and Graph techniques

experience
qplum
Data Scientist (Full time)
1 Nov 2018   -  31 Jan 2019
Making Investing a science through AI driven strategies

experience
Data Science Key
Academic Mentor (Part time)
1 Oct 2018   -  Current
Helping data science enthusiastic and professional to crack their dream interview

experience
Envestnet
  • Senior Lead - Data Science (Full time)
    1 Feb 2018   -  31 Oct 2018
    • Building AI-powered data-driven solution to ease the credit lending process in the USA. Our Intelligent Credit Solution uses Deep Learning, Machine Learning, and AI to change the traditional loan process for a significant set of users. • On the other hand Scalability is the major challenge in today's big data world, we have tried to address that as much as possible using cutting edge technology. • Created automated monitoring framework for Machine learning model using statistical and learning based methods. • Algorithm Used- Deep Neural Network, Probabilistic Model, RNN, LSTM, Word Embeddings, Statistical Methods, Advance Graph Algorithm, Information Retrieval, Data Mining. Technology Used- Python, Java, AWS, Airflow, Apache Spark, Tensor Flow, Keras
  • Lead - Data Science (Full time)
    1 Feb 2017   -  31 Jan 2018
    • I am the soul owner of some projects going on at Yodlee , working on aggregated transaction data of around 50 million users in USA and trying to provide better insight in Investment Research field by using Big Data Science, Machine Learning, NLP, Predictive Modelling, Time Series Analysis on Yodlee's world class aggregated data. • Algorithm Used:- Multiobjective Optimization, different clustering algorithm, Ensemble Methods for Classification, Time series prediction Algorithm e.g:- ARIMA, LSTM etc. • Technology Used- SQL, Java, Python, Apache Spark, R
  • Member Of Technical Staff (Full time)
    1 Jul 2016   -  31 Jan 2017
    Worked on high business value application based on financial transaction data. Main aim was to provide best insight and inference from the data using machine learning algorithm to strengthen our Investment Research Product.

experience
IIT, Kharagpur
Teaching Assistant (Part time)
1 Jul 2014   -  30 Jun 2016

experience
Cognizant
Programmer Analyst Trainee (Full time)
1 Jan 2014   -  31 Aug 2014
• Hands on experience in PEGA, PRPC and JAVA • I had gone through training on C, SQL, J2SE, J2EE, PEGA PRPC, I have closely worked with some web application based project.
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Education
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Indian Institute of Technology (IIT), Kharagpur
Master Of Technology (M.Tech/M.E), Computer Science2016

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Government College of Engineering and Textile Technology, Berhampore (Berhampore)
Bachelor of Technology (B.Tech), Computer Science2013
Skills
Analytical Skills
Coding / Programming
Algorithms
Business Analytics
Software Development
Data Science and AI
Accomplishments
Certifications
Sequence Models  
Issued : Nov 2018
Structuring Machine Learning Projects  
Issued : Oct 2018
Convolution Neural Networks  
Issued : Oct 2018
Improving Deep Neural Networks  
Issued : Sep 2018
Deep Learning  
Issued : Sep 2018
Projects
Transaction Recurrence Identification  
Completion Date : Oct 2018
Given a set of transactions, we need to identify which are recurring with a particular periodicity(e.g:- payroll transactions, power bill, Netflix subscriptions etc). This is being used as part of our financial wellness application to calculate the user's liability/income etc.
Credit Lending/Risk Insight Solution Using Transaction Data  
Completion Date : Oct 2018
We are transforming the loan process for people who don't have credit history/credit score(FICO) yet but they have Ability to payback the loan amount.
ML Model Monitoring Framework  
Completion Date : May 2018
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Best Financial Market Insight Using Alternative Data  
Completion Date : Jan 2018
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User Demographic Estimation using Transactional Data  
Completion Date : Jan 2017
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Languages
Hindi
English
Bengali
About
• Data Scientist@Ericsson Research | Ex-Yodlee |CSE@IITKGP | Software Engineer | Machine Learning | NLP | Computer Vision • 5+ years of experience in developing highly scalable machine learning solutions • Developed multiple machine learning pipelines and enterprise AI solutions with direct revenue impact

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