Dr. Indrajit Mandal

Ph.D. in Machine Learning Algorithms. Double Gold Medalist

Bengaluru, Karnataka, India

5000 /30mins

Short Biography

**I am having wide research experience in Data Science domain in development of hybrid algorithms and design of ML based automated data driven decision platforms.** **Research interests: Artificial intelligence – Deep Learning, Machine learning & Optimisation algorithms, Big data technologies, Process Automation, Pattern recognition, Information retrieval, Bioinformatics, Applied statistics, Recommender systems.** **I am a reviewer for some peer reviewed International SCI indexed journals related to Machine Learning Algorithms. Based on my research works, I bagged Gold medal award twice in CSE discipline from National Design and Research Forum, The Institution of Engineers (India) and ASDF(India), MEGA TITLE OF YEAR 2013, YOUNG ENGINEERS AWARDS. I have won 108 prizes from IITs, NITs etc in technical presentations held at the national level.** **In the previous job, I have worked on the development of the machine learning algorithms and its application to medical Sciences domain. I have applied machine learning algorithms and statistical methods on some chronic diseases to improve the reliability of clinical diagnosis.** **I have worked in digital finance domain where I have accomplished automation of decision making platform using supervised machine learning.**

Experience

Data Scientist (Manager), Analytics and Insights, Innovation Labs at Tata Consultancy Services, TATA CONSULTANCY SERVICES

Jul 2017 to Present

I work as Data Scientist (Manager), Analytics and Insights, Innovation Labs at Tata Consultancy Services

Assistant Vice President, Data Science, Lendingkart, Digital Lending Platform for SME in India

May 2015 to Jul 2017

I was working in Lendingkart Technologies Pvt. Ltd. It’s a NBFC which provides short working capital loans of ticket size 50K to 1Cr in less than 70 hours. It’s all possible due to digital lending platform. The decisions are taken by Machine learning algorithms. My role primarily is the research on the algorithms development and their optimizations, automation, model deployment, recommendations on loan etc. Starting from research on the variable determination, automatic selection, performing various kinds of customer analysis on the financial data. The main purpose is to cut-down cost, man-power and increase profit.

Education

Ph.D. in Machine Learning Algorithms, SASTRA UNIVERSITY

Jun 2010 to Jan 2014

I have published research articles in SCI peer reviewed journals. GOOGLE SCHOLAR https://scholar.google.co.in/citations?user=bLJKzzYAAAAJ&hl=en LINKEDIN PROFILE https://www.linkedin.com/in/dr-indrajit-mandal-a8b98a72/ ============================================= LIST OF SELECTED RESEARCH PUBLICATIONS: ******************************************************************** 1. “Accurate Telemonitoring of Parkinson’s disease Diagnosis using Robust Inference System.” Methods used: Linear LR, Neural Networks, SVM, SMO, Pegasos, AdaBoost, Additive LR, Ensemble selection, FURIA, Multinomial ridge LR, Rotation forest, Bayesian network, Logistic – wavelet ensemble. 2. “Accurate Prediction of Coronary Artery Disease using Reliable Diagnosis System” Methods used: Rotation forest, AdaBoostM1, MultiBoost, LogitBoost, Neural networks, Normal kernel density estimator, sparse multinomial logistic regression (SMLR) 3. “A novel approach for accurate identification of splice junctions based on hybrid algorithms” Methods used: AdaBoost A1DE, Bagging Random forest 4. “Developing New Machine Learning Ensembles for Quality Spine Diagnosis” Methods used: Random Tree- PCA Ensemble, Decision table-wavelets Ensemble, Bagging-C4.5, Improved NNge, Improved RIPPER, AdaBoostM1 AD Tree, Real AdaBoost DTNB. 5. “A novel approach for predicting DNA splice junction using hybrid machine learning algorithm” Methods used: Random subspace AODE, Rotation forest J48-PCA, AdaBoost DTNB ============================================== International Peer Reviewed Journal Articles ***************************************************************** 1. “Accurate Telemonitoring of Parkinson’s disease Diagnosis using Robust Inference System.” Journal: International Journal of Medical Informatics, November, 2012. DOI: 10.1016/j.ijmedinf.2012.10.006 [Impact factor = 3.214] Elsevier publication, SCI indexed. 2. “New machine -learning algorithms for prediction of Parkinson's disease” Journal: International Journal of Systems Science, July, 2012. Impact factor = 1.305 http://dx.doi.org/10.1080/00207721.2012.724114 Taylor & Francis publication, SCI indexed. 3. “Accurate Prediction of Coronary Artery Disease using Reliable Diagnosis System” DOI: 10.1007/s10916-012-9828-0 Journal of Medical Systems, 2012, Springer publication (Impact factor: 1.783, SCI Expanded indexed) 4. “Machine learning algorithms for the creation of clinical healthcare enterprise systems” Journal: Enterprise Information Systems Impact Factor: 2.269 (SCI Indexed) http://dx.doi.org/10.1080/17517575.2016.1251617 5. “A novel approach for predicting DNA splice junction using hybrid machine learning algorithm” Journal- Soft Computing (Springer publication) Impact factor = 1.304 (SCI indexed) DOI: 10.1007/s00500-014-1550-z 6. “A novel approach for accurate identification of splice junctions based on hybrid algorithms” Journal-Journal of Biomolecular Structure and Dynamics (Taylor & Francis publication) (SCI indexed) Impact factor = 9.35 URL: http://www.tandfonline.com/doi/abs/10.1080/07391102.2014.944218?journalCode=tbs d20#preview 7. “Developing New Machine Learning Ensembles for Quality Spine Diagnosis”, Journal: Knowledge-Based Systems, SCI indexed Impact Factor: 4.101 http://dx.doi.org/10.1016/j.knosys.2014.10.012 . Elsevier publication **************************************************************** Cumulative impact factor: 22.973 ***************************************************************** Honorary awards GOLD MEDAL AWARD Honored with GOLD Medal award in Computer Science & Engineering discipline, ALL INDIA DESIGN COMPETITION FOR ENGINEERING STUDENTS-2009 from National Design and Research forum, The Institution of Engineers (India). GOLD MEDAL AWARD Honored with GOLD Medal award in Computer Science & Engineering discipline, ALL INDIA DESIGN COMPETITION FOR ENGINEERING STUDENTS-2011 from National Design and Research forum, The Institution of Engineers (India). MEGA TITLE OF YEAR 2013 Honored with Mega Title of the year 2013 from Association of Scientists, Developers and Faculties, Pondicherry for ASDF Student project awards. BEST STUDENT AWARD Honored with BEST STUDENT AWARD from Sambhram Institute of Technology, Bangalore-560097 in the year 2009. YOUNG ENGINEERS AWARDS Selected for the final round of Young Engineers Award 2011 Contest organized by Mahindra Satyam Integrated Engineering Solutions BEST STUDENT AWARD Honored with Best student award of the year 2013 from Association of Scientists, Developers and Faculties, Pondicherry for Best ASDF Student awards. ************************************************************************ Total honorary awards/merit certificates/prizes = 108 Total certificates = 180 ************************************************************************

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