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Dhiman Mandal  
Bengaluru | India

Data Scientist | Deep Learning | Machine Learning | IIT Kharagpur

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

Skills

Analytical SkillsCoding / ProgrammingAlgorithmsBusiness AnalyticsSoftware DevelopmentData Science and AI
Education

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Indian Institute of Technology (IIT), KharagpurMaster 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
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
Created an automated framework using statistical methods for monitoring a ML-based application which deals with a high volume of data. This framework is responsible for monitoring the model after deployment in the production and generates alarm if the model is not performing as expected Created Tableau Dashboard for visualization of model performance over the time. Algorithm Used:-Statistical Methods, Probability Distribution, Backtesting Technology Used:-SQL, Python, Tableau
Best Financial Market Insight Using Alternative Data  
Completion Date : Jan 2018
Can we select a small subset of our data which can give the best financial market insight for the USA. We have a huge dataset, it is difficult to get the best insight from such a huge dataset because it consists of a lot of noise and requires huge processing power(directly proportional to cost) Algorithm Used:- Clustering Algorithm, Multiobjective Optimization, Genetic Algorithm Technology Used:- R, Python, SQL, AWS
User Demographic Estimation using Transactional Data  
Completion Date : Jan 2017
Can you predict a person's income class/ residential location/ work location/ employer/ family size using the aggregated bank and card transactions data. I was the sole owner of these project and currently it is consumed by multiple clients. Algorithm Used:- Majority Voting, Weighted Voting, DBSCAN Clustering, K-Means Clustering, XGBoost, Decision Trees Technology Used:- SQL, Apache Spark, Amazon EMR, R, Python, Tableau
Languages

HindiEnglishBengali
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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