Python, R, SAS, SPSS
VIRENDRAKUMAR PAL
Artificial Intelligence And Advance Analytics Expert
Mumbai,MH
Summary
A seasoned professional with 12+ years of hands-on experience in Innovation, Statistics, AI and Cloud computing solution with domain understanding of Financial technologies, Digital Lending, Insurance, Banking, FMCG and pharmaceuticals. Explicitly worked on of conceiving & implementing AI based strategic initiatives, building high performing team, prioritizing and organizing workload of team to achieve organization’s vision
Overview
6
6
years of post-secondary education
12
12
years of professional experience
Work History
Chief Innovation and Analytics Officer
SMEcorner
Mumbai
09.2017 - Current
- Design, refine and execute the overall AI based digital strategy in-line with Business vision
- Drive and deliver complex transformation programs involving niche technologies such as Machine Learning, Intelligence Process Automation, Big Data and Innovative Fintech Solutions
- Act as Individual contributor on complex ML/DL algorithms to get the best optimum working model for business problems
- Present new ideas, connect with analytics vendors and run crucial POCs on alternate credit modeling and advance default warning to drive Digital lending business models by keeping AI at the core
- Draft the AI projects/products execution processes including project initiation, analysis stage, model building stage, model deployment, and model retraining
- Conduct experiment by adopting Champion-challenger strategies by bringing together the best sources of digital and behavioral alternate data such as Location, utility, payment gateways, App usage, SMS, government, and Healthcare
- Devising digital workflows in AI enable lending process along with providing actionable recommendations by translating scorecards into underwriting decisions
- Data-centric AI focused approach for MLOps to enable self-learning architecture by utilizing cloud vis-a-vis local infrastructure for efficient and systematic process
- Leading and Mentoring team of 25 people and acquiring and cultivating strong data science and AI talent
Manager Big Data Analytics and Machine Learning
Edelweiss Financial Services
Mumbai
09.2016 - 09.2017
- Leading team of 12 people and understand and execute wide range of Business requirements in terms of machine learning, statistical analysis, algorithm development, analysis planning etc
- Design and deploy data-science and technology based algorithmic solutions to address business needs
- Identify, understand and evaluate new business scenarios to determine the effectiveness and use of data analytics and predictive modeling
- Presentation of results to internal stakeholders and Business heads and leading engagements
Manager Analytics
Aditya Birla Financial Services Group
Thane
09.2015 - 09.2016
- Develop and interpret statistical models using predictive modeling techniques that include multivariate techniques, cluster analysis, neural nets, SVMs and other advanced statistical techniques
- Use efficient coding and programming techniques, advanced analytics, data mining techniques to find solutions
- Leading team of 8 People and working closely with business head to identify, design, evaluate and implement statistical models
- Set up scalable, efficient, automated process for model development, validation, implementation on large data
AM Statistician and Methodologist
Nielsen
Mumbai
04.2014 - 08.2015
- Leading and contributing to R&D projects to develop innovative and advanced analytics; Combine existing and new data, and latest methodologies to develop superior analytical products
- Working on advanced statistical method such as Causal learning, multivariate techniques, advanced regression, probabilistic models, discrete choice etc. to provide innovative and creative solutions involving analysis of survey results, simulations, choice models, mining large data, integration of attitudinal and behavioral data and segmentation
- Plan, develop, program, manage and maintain complex statistical databases, using existing statistical and econometric packages (such as SAS, R, SPSS, Python, Sawtooth Software, Latent-Gold)
Analytics Developer/Implementer
Cedar Management Consulting International LLC
05.2013 - 04.2014
- Developing, comparing and monitoring the Predictive model and improve the efficiency with automated R, Python, SAS and SQL script.
- Helping team to develop predictive modeling, Segmentation and text mining tool.
- Presenting, Training and Implementing the business solution at Client’s Location Project done at the Cedar.
Lead Associate
GSK
Delhi
02.2011 - 05.2013
- Support Business development through range of analysis by developing Statistical model, dashboard, Company/product profiling, market assessments, In-licensing opportunity assessments, pipeline and disease area overviews, forecasting of drug revenue and product life cycle consultancy.
- Providing thought leadership on projects and Global Monitors and Commercial management dashboard for clients and ensuring quality checks are maintained Project done at the WNS.
- Promotional sensitivity analysis of different products based on different promotional vehicles.
- Predicting the sales based on Flu outbreak and promotional spend in different countries.
- Developed global forecasting model for Thrombosis market and GSK portfolio.
Associate (CSG-US)
Genpact (SymphonyIRI)
Bangalore
12.2009 - 02.2011
- Building Analytical business reviews and planning for Clients Brands to monitoring product launch and brand performance for on Consumer Health Care, Over the Counter Drugs and Baby & Beauty categories.
- Developed automated Quality-check tools to reduce report time up to 80%
- Created corelation and Regression analysis find out the driving factors for identifying the key drivers for brand sales performance and important channels to segments or brands
- Run simulation to for various scenarios to get optimum brand’s promotional strategy
Management Intern
The Nielsen Company
Vadodara
07.2009 - 11.2009
- Delivering insights and interpretations to client by doing category, competitors and reason “why” analysis.
- Respond to adhoc multi-country requests from Unilever brand development and brand building with ULSC.
Education
EPGP Business Analytics And Big Data - Business Analytics, ML And Big Data
Aegis School of Data Science
Mumbai 04.2015 - 04.2016
Certifications - AI, ML, DL,RL, Computer Vision, NLP And MLOPS
Coursera, Udemy, Udacity, Opencv, LinkedIn
PGPM - Marketing And Strategy
ISME
06.2008 - 12.2009
B.Tech - Mechanical Engineering Technology
Maharashtra Institute of Technology
06.2004 - 05.2008
Six Sigma - Green Belt And Black Belt
Indian Stastical Istitute
Skills
Statistical modeling & Optimization
Software
AWS, GCP, Azure
Rasa, Dialogflow
OpenCV
MongoDB
PostgresQL, MySQL, SQL server
Tableau, Jaspersoft, SAS Visual Analytics, Power BI, Qlikview
Django, Flask
Docker, Kubernetes, Airflow and Kubeflow
Personal projects
Motion estimation, Object tracking, Human Pose estimation, Object detection, Image alignment, Seamless cloning, Image inpainting, Image to Image translation, Gesture Classification, Face Mask Detector, Find Celebrity Look-Alike, Automatic number plate recognition, Machine translation, Similarity Queries and Summarization
Data science Algorithms and Packages
- Regression, Logistic regression, Decision tree, Support vector machine,Naïve Bayes, FactorAnalysis, Linear discriminant analysis, Random forest, Bagging and Boosting, Cluster Analysis, Conjoint Analysis, Anova, Evolutionary algorithm, Structural equation model, Bayesian Belief Networks, Ensemble Methods, Association Rules, Singular Value Decomposition, Factor analysis, Principal Component Analysis, Collaborative Filtering, Recommender System, Kmean, K medoid, DB scan, two step clusters
- Computer vision - object detection, face detection, Image enhancement, Image processing, Video analysis
- NLP – Transformer, NER, Summarization, machine translation, Question answering, POS, N-GRAM, word2vec, Language Models, NER, BOW, TFIDF, word2vec
- Audio – Voice Feature generation, speech to text, text to speech models
- Models – Market mix, Multi-level, hierarchy, choice model
- Python: Scikit learn, Graphlib, OpenCV, LibROSA, Pandas
- R: CARET, MLR, TM, CoreNLP
- Deep learning Frameworks: Keras, Tensorflow, Pytorch, FBProphet
- Deep learning Archetectures : GANs, Autoencoder, DNN, RNN, CNNs, RBM, Resnet, VGG, Transfer learning, Reinforcement learning, Masked RCNN, YOLO, SSD, Seq2Seq, SOM, CRNN, XLNET, ELMO, USE, AUDIO EMBEDDING, ACRNN, CAPSULE, ATTENTION, UISRNN, GE2E loss, Triplet loss
- Transfer Learning: resnet50, inceptionV3, VGG, wavenet, Embeddings, Model based TTR, Feature based
- Spark: Mllib, SparkSQL, Pyspark
Accomplishments
- Won Mumbai Fintech Award and participated in Singapore fintech and came in top 20
- Awarded for Excellence in Industry Application - Financial Services for Litigation Analytics by Big Data Analytics & Insights Summit also Awarded as Best Functional team in entire ABFSG
- Awarded as Employee of the year for being most innovative in Modeling Community of Nielsen
- Awarded as Simply Excellent – Gold for Innovation performance measurement project
- Won Rising Star Award, Lead-SMS award, Client satisfaction award and Spot Award
- Winner of CMU Business Game and ranked 2nd among 1800 teams across the world in Business Strategy game
Work Availability
monday
tuesday
wednesday
thursday
friday
saturday
sunday
morning
afternoon
evening
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Interests
Mentoring budding Data Scientist by taking sessions and webinar in reputed institutions
Learning new technologies and solving new problems such as pose estimation, mask detection, Neural style transfer, image-based search, voice authentications etc
Writing articles on key algorithms and providing insights on key technologies
Participating in various technical conferences to stay updated on recent trends
Quote
Imagination is everything. It is the preview of life’s coming attractions.
Albert Einstein
Timeline
Chief Innovation and Analytics Officer
SMEcorner
09.2017 - Current
Manager Big Data Analytics and Machine Learning
Edelweiss Financial Services
09.2016 - 09.2017
Manager Analytics
Aditya Birla Financial Services Group
09.2015 - 09.2016
EPGP Business Analytics And Big Data - Business Analytics, ML And Big Data
Aegis School of Data Science
04.2015 - 04.2016
AM Statistician and Methodologist
Nielsen
04.2014 - 08.2015
Analytics Developer/Implementer
Cedar Management Consulting International LLC
05.2013 - 04.2014
Lead Associate
GSK
02.2011 - 05.2013
Associate (CSG-US)
Genpact (SymphonyIRI)
12.2009 - 02.2011
Management Intern
The Nielsen Company
07.2009 - 11.2009
PGPM - Marketing And Strategy
ISME
06.2008 - 12.2009
B.Tech - Mechanical Engineering Technology
Maharashtra Institute of Technology
06.2004 - 05.2008
Six Sigma - Green Belt And Black Belt
Indian Stastical Istitute
Certifications - AI, ML, DL,RL, Computer Vision, NLP And MLOPS
Coursera, Udemy, Udacity, Opencv, LinkedIn
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