Debasmita Pal
Ph.D. Student
Computer Science and Engineering
Michigan State University
Email:
Position:
Research Assistant at iPRoBe Lab
Address:
428 S. Shaw Ln., RM 2335
East Lansing, MI 48824-1226, USA
Research Area:
Pattern Recognition, Computer Vision, Generative Adversarial Networks, Plant Phenology Prediction
Background:
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Computer Science Engineer (B.Tech, M.E.) with 7 years of industrial exposure in Data and Analytics domain and a research background of data mining and bioinformatics
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Gold Medalist in M.E. in Software Enginnering at Jadavpur University, India
EXPERIENCE
2017-2020
Senior Associate
Data and Analytics Consultant
Kolkata, West Bengal, India
2015-2017
Associate IT Consultant
Datawarehouse Developer
Kolkata, West Bengal, India
PRICEWATERHOUSE COOPERS PVT. LTD.
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Designed and implemented analytics solution on Oracle Analytics Cloud platform in Human Capital Management domain (Sector: Healthcare)
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Harnessed HDFS data lake implementation through PySpark
ITC INFOTECH INDIA LTD.
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Responsible for data modelling and dashboards development leveraging Oracle Business Intelligence Enterprise Edition (OBIEE 11g), Oracle PL/SQL and Tableau for TM&D division of ITC Ltd. (Sector: FMCG)
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Developed Data Cube using Oracle Analytics Workspace Manager
2011-2013
TATA CONSULTANCY SERVICES
Assistant Systems Engineer
Business Intelligence Professional
Mumbai, Maharashtra, India
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Provided end-to-end production support from ETL (Informatica) to Report (OBIEE 10g) by resolving data issues for Residential Solutions and Security Technologies business of Ingersoll-Rand (Sector: Manufacturing)
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Automated data load through Shell script
2010-2011
Internship
Kolkata, West Bengal, India
INTERRA SYSTEMS INDIA PVT. LTD.
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Implemented an optimized data structure for storing the large strings from hardware design languages like Verilog by comparing Binary Search Tree (BST), Red Black Tree (RBT), Prefix Tree (Trie), Burst Tries using various bursting algorithms
EDUCATION
2021- Present
Doctors of Philosophy (Ph.D.)
Computer Science
MICHIGAN STATE UNIVERSITY, USA
Working as a research assistant at Integrated Pattern Recognition and Biometrics (iPRoBe) Lab directed by Prof. Arun Ross. My research primarily focuses on on developing novel approach in the field of machine learning and computer vision with the application in plant phenology.
2013-2015
JADAVPUR UNIVERSITY, INDIA
My masters thesis focused on predicting HIV-1-human protein-protein interactions using Association Rule Mining (ARM) under the supervision of Dr. Kartick Chandra Mondal.
Maters of Engineering (M.E.)
Software Engineering
2007-2011
Bachelors of Technology (B.Tech)
Computer Science and Engineering
TECHNO INDIA
WEST BENGAL UNIVERSITY OF TECHNOLOGY, INDIA
Completed capstone project titled "Efficient data structure for storing string keys" at Interra Systems Pvt. Ltd. under the supervision of Mr. Kausik Datta.
PUBLICATIONS
JOURNAL PAPERS
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Pal, D. and Mondal, K.C. (2021). Predicting Novel Interactions from HIV-1-Human PPI Data Integrated with Protein Signatures and GO Annotations. International Journal of Bioinformatics Research and Applications (IJBRA), 17:6, 537-559, doi: 10.1504/IJBRA.2021.120536
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Pal, D. and Mondal, K.C. (2016). A complete review of computational methods for human and HIV-1 protein interaction prediction. International Journal of Bioinformatics Research and Applications (IJBRA), 12(1), 19-46. doi: 10.1504/IJBRA.2016.075396​
CONFERENCE PROCEEDINGS
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Pal, D., Mondal, A.S. and Mondal, K.C. (2016). Knowledge Discovery from HIV-1-Human PPIs Assimilating Interaction Keywords. IEEE International Conference on Computer, Electrical & Communication Engineering (ICCECE). doi: 10.1109/ICCECE.2016.8009568
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Chowdhury, S.B., Pal, D., Mondal, A. and Mondal, K.C. (2016). Closure Based Integrated Approach for Associative Classifier. Proceedings of the First International Conference on Intelligent Computing and Communication (ICIC2), 225-235. doi: 10.1007/978-981-10-2035-3_24
PAPER PRESENTATIONS
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“Knowledge Discovery from HIV-1-Human PPIs Assimilating Interaction Keywords”, IEEE International Conference on Computer, Electrical & Communication Engineering (ICCECE-2016), organized by Techno India University, West Bengal, India (2016)
POSTER PRESENTATIONS
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“Synthesizing Forestry Images Conditioned on Plant Phenological Attribute Using Generative Adversarial Network ”, Graduate Academic Conference, Michigan State University, USA (2023)
RESEARCH PROJECTS
Synthesizing Forestry Images Conditioned on Plant Phenological Attribute
Funding Source: National Science Foundation (NSF)
This works aims to generate synthetic forestry images satisfying certain phenological attribute (viz. greenness index of vegetation canopy). We propose a novel Generative Adversarial Network (GAN) architecture to achieve this. The synthetic images could be used to predict other phenological attributes (redness of vegetation, Leaf Area Index).
EFI NEON Phenology Forecasting Challenge
Funding Source: National Science Foundation (NSF)
As part of this challenge, we developed machine learning models in order to predict 90th percentile of daily greenness (gcc_90) and redness (rcc_90) for deciduous broadleaf forest sites.
Knowledge Discovery From Protein Interactions: Application to HIV
Funding Source: UGC Merged Scheme Committee, Jadavpur University Research Grant
This project developed pattern mining based computational approach to predict novel interactions between HIV-1 and human proteins utilizing the concept of closure lattice in Association Rule Mining from the experimentally validated interactions along with interaction type curated in HIV1, Human Protein Interaction Database. Additionally, protein signatures and Gene Ontology annotations of human proteins were used to extract functionally and biologically relevant knowledge patterns
AWARDS
Academic Honors and Awards
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Best Poster Presentation at MSU Graduate Academic Conference (GAC), 2023
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Achieved gold medal for being first class first in Masters of Engineering in Software Engineering at Jadavpur University, India, 2015
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Awarded Post-Graduation stipend from AICTE (All India Council for Technical Education) through qualifying the entrance exam GATE (Graduate Aptitude Test in Engineering)
Professional Achievements
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PwC “We Applaud” trophy and recognized as “Outstanding” performer, 2018 and 2019
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“PwC Experience – Individual Award”, 2017
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TCS “On the Spot Award”, February 2013 and May 2013