Krishnendu

Mukherjee

Operations Research

And Data Scientist

Contact

Address

Kolkata, WB, 700145

Phone

801-***-****

E-mail

adr246@r.postjobfree.com

LinkedIn

www.linkedin.com/in/krish-

mukherjee-data-scientist

GitHub

https://github.com/Bang2018

Skills

Machine Learning

Deep Learning

Python

SQL

Big Data Hadoop

IBM ILOG Cplex

I have about 14 years experience in academia and 6 years in industry as Operations Research

are accepted in product based companies. Amazon, Oracle, Databricks, WIPRO, Intel etc selected my CV. I am a passionate impl

Work History

2022

2021

Operations Research and Data Scientist. Some of my work and algorithms implement my algorithms by combining ML, DL, Meta

Work History

2022-4 – 2022-5 Operations Research Engineer

Enmovil Solutions Pvt. Ltd., Hyderabad, India

Client: One of the largest automobile

Area: Heterogeneous Hop-Constrained

Optimization

Programming Language: Python

Solver: SCIP and MIP

Methodology: Integrated approach of Iterated Local Search (ILS) and Mixed Integer Programming

for search space reduction (SRR) and mixed integer Program used to get optimum solution. Purpose of the work is to develop a solver to overcome some of the limitations of Google OR-Tools. Client had

severe issues for last one and half years.

2021-11-2022-2 Operations Research Scientist

Random Trees, Texas, US

Client: One of the largest meat packaging

Turnover: ~54 Billion USD.

Programming Language: Python

Solver: Gurobi and PuLP

Cloud: AWS

Data Visualization: QlikSense

GUI: PyQT5

Area: Supply Chain and Logistics

Train and support client team members

Demo, PoC model development

Worked with client team members to develop product Some of my work and algorithms

WIPRO, Intel etc selected my CV. I am a passionate teacher. I love to ement my algorithms by combining ML, DL, Meta-Heuristics, and MIP. Operations Research Engineer

Enmovil Solutions Pvt. Ltd., Hyderabad, India

Client: One of the largest automobile industry in India Constrained Route

Programming Language: Python

Methodology: Integrated approach of Iterated Local Integer Programming. ILS used

for search space reduction (SRR) and mixed integer Program used to get optimum solution. Purpose of the solver to overcome some of the

Tools. Client had been facing

severe issues for last one and half years.

Operations Research Scientist

Client: One of the largest meat packaging industries. Programming Language: Python

Area: Supply Chain and Logistics

Train and support client team members

Demo, PoC model development etc

with client team members to develop product

Optimization and Julia

2019

2021

2020

2020

2018

2019

2017

2019-02 –

2021-11

2020-06 –

2020-12

Operations Research and Data Scientist

Consultancy, Kolkata, West Bengal

Trained several executives, namely, Lead at Athena,US; Lead at Oracle,US; trainers at 21st Century Software Solutions Pvt Ltd; Great Learning etc

Developed heuristic and MILP model to include driver’s safety as per HOS,USA. Client: US

Developed a solver to optimize route of shippers as per GPS data. Time window is given for both Origin and Destination. Programming Language: Python. Solver: IBM ILOG Cplex.

Developed software to predict demand of retail store. Client: US based company. D

anomaly detection, product ranking, classification of product based on distribution, sales forecasting, demand forecasting, what-if analysis etc

Master Trainer - Data Science

Rooman Technology Pvt Ltd, Bangalore, Karnataka

Developed study materials for trainers on statistics, machine learning, NLP, time series analysis and deep learning.

Developed software using python

Area: Data Science, Machine Learning, Deep Learning, Series Analysis etc

2018-10 -

2019-01

Senior Operations Research Engineer

Genesys, Chennai, TN

Implemented column generation and benders

decomposition using IBM Ilog Cplex and OPL for large mixed integer problem to generate roaster for more than 5000 call center agents. Worked as only Operations Research Engineer to extend support to “Baybridge

Operations Research Group” of Genesys,US.

2017-05 - Operations Research Analyst

Operations Research and Data Scientist

Kolkata, West Bengal

Trained several executives, namely, Lead at Athena,US; Solutions Pvt Ltd; Great Learning etc

heuristic and MILP model to include driver’s

nt: US-Based Company.

a solver to optimize route of shippers as per

Destination. Programming Language: Python. Solver: IBM software to predict demand of retail store.

US based company. Demand classification,

s etc.

Data Science

Bangalore, Karnataka

materials for trainers on statistics,

software using python

e Learning, Deep Learning, Time

Senior Operations Research Engineer

Implemented column generation and benders

Worked as only Operations

Operations Research Group” of Genesys,US.

2017-09 Aritone Global Ventures Ltd, Delhi

Developed mathematical model and updated existing algorithm to prepare assembly-line schedule, inventory optimization etc for large tire industry with more than 3.37 trillion USD turnover. About 1 billion variables were solved using parallel processing. Programming Language

- Julia and Python. Backend - SQL Server.

Used both predictive and prescriptive analysis. Worked as only Operations Research Analyst to support team of developers in India and US.

2017 – 01 – Operations Research Engineer

2017 – 02

OSOFTECH, Delhi

A short time assignment to integrate IBM ILOG Cplex with their online product Logistics and Manufacturing Process (LAMP). Client: Manufacturing Industry

2016 – 08 –

2016-12 Operations Research Scientist

ORMAE, Bangalore

Scheduling of Call Center Staff Members of a 2 billion USD turnover company with more than 5000 call center agents.

Routing of oil tankers of a 300 billion USD turnover company.

Contributed as founding employee. Took the lead role to complete multiple projects.

2002 – 02 –

2016 – 08 Assistant Professor – Mechanical Engineering Worked in different Universities

Developed syllabi, introduced new courses, and developed laboratories for UG and PG curriculum at NIT Silchar, Ministry of Manpower Oman, Heritage Institute of

Technology etc

Developed innovative machine at Indian Institute of Carpet technology.

Worked as external examiner WBUT, UPTECH, IMU Chennai etc

Worked as founder faculty member.

Worked as reviewer of several reputed journals.

Subjects taken: Manufacturing, Operations Research, Supply Chain Management, Engineering Mechanics,

Strength of Materials, Robotics, CAD etc

Worked as Faculty-In-Charge of Central Workshop

Education

2010-02 -

2015-02

Ph.D.: Operations Research And Supply Chain

Management

Jadavpur University - Kolkata

Thesis: Study of Mass Customization Strategy for Competitive Advantages

Published by Springer

https://www.springer.com/gp/book/978**********

Several algorithms are developed using multiple criteria decision analysis. Got privilege to work with late Prof. Thomas L Saaty. Prof.Saaty prepared the foreword of the above book.

Above thesis got 150+ citations with 25000+ read

Degree not awarded

2000-08 -

2002-01

Master of Engineering: Mechanical Engineering

BITS Pilani - Pilani

Implemented Master of Engineering Thesis at Grasim Industries Ltd.,MP. Secured 91.3%.

2000

1994-06 -

1998-06

Skill

Qualified in GATE with 93.17 percentile

Bachelor of Engineering: Mechanical Engineering

Jadavpur University – Kolkata. Secured 72.78%

Programming Language: Python, R, Julia, and C#

Query Language: SQL

Solver: IBM ILOG Cplex, JuMP, CBC, Clp, MIP, PuLP, and SCIP

Machine Learning Algorithms: Decision Tree, Random Forest, SVM, GBM, AdaBoost, XGBoost,

NGBoost, CatBoost, LightGBM etc

Deep Learning Algorithms: CNN, RNN, LSTM, GRU,

Auto Encoder, and Ensemble.

Framework: Scikit-Learn, PyTorch, and TensorFlow

Operations Research: Mixed Integer Programming,

Linear Programming, Non-Linear Programming

Heuristics: Local Search and ACO

Area of Research: Forecasting, Supply Chain

Optimization, and Vehicle Route Optimization

Big Data: Spark SQL, Spark ML, Spark ML Pipeline, Spark API, Spark Datasets, RDD, Hive QL, Python, Hadoop

Accomplishments

Applied US Copyright for Searching Technique to Find Optimum Solution of Hop-Constraint Capacitated Vehicle Routing Problem in 2022

Received US Copyright to implement Extent Fuzzy AHP using VB.NET, Registration No. TXu 1-905-896, 2014

Developed Carpet Backing Machine at Indian Institute of Carpet Technology, under Ministry of Textile.

Developed several laboratories and introduced new courses at NIT and other reputed universities.

Developed several algorithms for time series

forecasting and procurement analysis.

Developed curriculum from scratch at

1. National Institute of Technology Silchar (Former Regional Engineering College), Area: Mechanical

Engineering (UG and PG Prog.), 2007-2010.

2. University of Bradford, UK (Client of Rooman

Technologies Pvt. Ltd.), Area: Data Science,

Python, Machine Learning, Deep Learning, NLP,

Time Series Analysis etc., 2020.

3. Ministry of Manpower Oman, Area: Mechanical

Engineering (Limited to development of online

study material), 2010-2011.

4. Developed curriculum and trained employees of

several MNCs. Area: Data Science, Machine

Learning, NLP, Time Series Analysis etc

Worked as invited reviewer of the following journals: https://www.journals.elsevier.com/european-journal-of- operational-research

https://www.tandfonline.com/toc/tjor20/current

https://link.springer.com/journal/40092/volumes-and- issues

https://www.ijahp.org/index.php/IJAHP

.as

LIST OF PUBICATIONS

Note for indices: Science Citation Index/Social Science Citation Index (SCI/SSCI); Australian Business Deans Council (ABDC) Journal Quality List; Excellence in Research Australia (ERA) Journal List; Association of Business Schools Academic Journal Quality Guide (ABS); Index to Scientific & Technical Proceedings (ISTP), SCImago Journal Rank (SJR) Book:

Supplier Selection: An MCDA-Based Approach, Springer, ISBN 978-81-322-3700-6.

Forthcoming Operations Research Techniques and Applications for Solving Large Business Problems, CRC Press, ISBN - 978-0-367-43455-7.

Referred Journal Papers:

1.Mukherjee, K., Sarkar, B. and Bhattacharya, A. (2010), Comparative analysis of supplier selection methods in fuzzy environment, International Journal of Applied Engineering Research, Vol.5,No.19, 3171–3184, ISSN 0973-4562 (SJR:0.16, Scopus Indexed)

A non-linear weighted mathematical model is prepared to identify limitations of existing procurement methods.

2. Mukherjee, K., Sarkar, B. and Bhattacharya, A. (2011), Comments on the erratum to “Supply planning model for remanufacturing system in reverse logistics environment” [Comput. Ind. Eng. 51 (2006) 279–287], Computers & Industrial Engineering, Vol.61, 1349-1350, ISSN: 0360-8352 (Impact Factor:5.431, SJR:1.5,ABS-2, SCI indexed, Scopus Indexed) A new mathematical model is proposed for reverse logistics.

3. Mukherjee, K., Sarkar, B. and Bhattacharya, A. (2013), Supplier Selection by F-Compromise Method: A Case Study of Cement Industry of NE India, International Journal of Computational Systems Engineering, Vol.1, No.3,162-174, ISSN:2046-3391(SJR-0.11, Scopus Indexed)

A weighted non-linear integer programming model is proposed for cement industries to select suppliers with minimum risk. In this paper, fuzzy AHP and VIKOR are integrated to select and evaluate suppliers. To allocate orders, multi- objective genetic algorithm is used to solve set of weighted non-linear integer program.

4. Mukherjee, K. (2013), Analytic hierarchy process and technique for order preference by similarity to ideal solution: a bibliometric analysis ‘from’ past, present and future of AHP and TOPSIS, International Journal of Intelligent Engineering Informatics, special issue,Vol.2,No.2/3,pp 96-117, ISSN: 1758-8715 (SJR:0.28 ERA, Scopus Indexed) A bibliometric analysis of state of the art literature review of MCDA tools are given with “R”

5. Mukherjee,K.(2013), Suppler selection criteria and methods: past, present and future, International Journal of Operational Research, special issue, Vol.27,No.1/2,pp.356-373,ISSN: 1745-7653 (Impact Factor:0.525, ABDC Rank C, Scopus Indexed).

Review on supplier selection criteria and methods.

6.Mukherjee,K.(2014), An integrated approach of sustainable procurement and procurement postponement for multi- product, assemble-to-Order (ATO) production system, Producąo (one of the top journal of Brazil, SJR:0.3, Scopus Indexed), Vol.26,2,249-260, Electronic ISSN 1980-5411,Printed ISSN 0103-6513 A weighted mixed-integer non-linear program is proposed with intuitionistic fuzzy set for a new postponement strategy to select suppliers for assemble-to-order system.

Working Papers:

Operations Research and Machine Learning:

Cluster and Route – An Alternative Approach to Solve Large VRP Purpose: The exact mixed integer programming approach can’t solve large route optimization problem. The proposed approach combined machine learning techniques and mixed integer program to find optimum route of 1000 vehicles. Please refer my GitHub Account: https://github.com/Bang2018

Ensemble and Deep Learning

Demand Forecasting: An Integrated Approach of Ensemble and Deep Learning Purpose: It is an integrated approach of multiple criteria decision analysis and deep learning techniques. H Index: 06 i-10 Index: 04 Citations: 150+

Recommendations:

Late Prof. Thomas L. Satty, the originator of AHP and ANP, acknowledged my work.

Prof. Enrique Mu, School of Management, Carlow University, Pittsburgh, PA, USA acknowledged my review work.

Journal of the Operational Research Society, UK acknowledged my work Sample Work:

1. Japan Stock Market Ranking – LightGBM

https://www.kaggle.com/code/krishm/japan-stock-market-ranking-lightgbm Got Silver

2. AMEX EDA – Isolation Forest, Down Sampling & PCA https://www.kaggle.com/code/krishm/amex-eda-iso-forest-down-sampling-pca Got Silver

3. NFL 1st and Future Analytics: Simulation

https://www.kaggle.com/code/krishm/nfl-1st-and-future-analytics-simulation Got Bronze

Contact this candidate