• Data Science Professional with ITIL / PRINCE2 / AWS / Togaf Certified with 24+ years of IT experience in: Working with companies like State Bank of India, Ross-Simons, New Balance, Brooks Brothers, Reliance, Oracle, Manhattan, DHL, KGL, Al-Ghanim, Al-Shaya, LandMark, Thomas Cook FX, Systems+ &others on Leadership positions like I.T. Manager, I T Consultant for Oracle, SAP, .NET Apps, ERP/IT Project Director, Program Manager, I.T. Support Executive, Software/BI/Integration/DB Developer & currently as Lead Data-Scientist. Progressed from a software development background to leadership roles in Technical Management / Data-Science lead. • Helped Companies Setup teams for various practices such as Data-Science(Big Data, ML using Cloudera, python), Manhattan WMS,Red Prairie (JDA), Exceed (Infor), Magento, SalesForce / Demandware, Retail Pro, Oracle XStore i.e. Omni Channel plus Integration ETL platform such as Microsoft BI, SAP BODS, SSIS, Informatica, Business Intelligence such as Qlik, Crystal Reports (SAP BO), OBIEE, Tableau, Cognos, Industrial Automation i.e. PLC programming for Industrial Robots, Home Automation Retail Automation i.e. I.O.T. integration with Artificial Intelligence[Machine Learning & Deep Learning]. • Extensive knowledge and experience in Cloud platforms like Google Cloud, IBM Power AI, Oracle Cloud , Azure, AWS with hands-on development in python, java, c# • High-performing information-technology professional with 10 plus years of experience in BI/ Data-Science projects life cycle management from conception to completion. • Deep understanding of Machine learning algorithms such as regression, clustering, classification, scoring, co-occurrence, profiling, link prediction, data reduction, casual modelling i.e. all facets of supervised and unsupervised learning. • Hands on web scraping, data-plumbing, integrating disparate systems for data analysis or ML / AI applications. • Helped increase 15% in Customer Support Agent productivity. Helped client with segmenting 80 million records of unstructured customer data into buyer persona. Which increased the success rate of marketing campaigns. Designed architected, developed tested AI solutions for object detection and face-recognition.

TECH SKILLS

• Operating Systems: Windows, Linux, Docker. • BI Tools: Tableau, Power BI, Business Intelligence / SSRS /SAPBO / Cognos / OBIE / Qlik • Databases: SQL Server (6,7,2000 - 2012), Oracle (6,7,8,9i,10g,11g, 12c), DB2, , MySQL, Interbase, Sybase, Dbase, SQLite, PostgreSQL, MongoDB. • Programming: SQL, PL/SQL, PLSQL, C++, C#, Java, VB, VB.Net, MT4, Delphi, Python, Colab, Jupyter Notebook, Django, R, OOPS, Asp.NET, HTML, CI/CD, Kubernetes. • Frameworks: .Net, Django, ADF • Statistics / AI: Regression, Factor Analysis, Logistic Regression, NLP, OpenCV, YOLO, CUDA, TensorFlow, Keras, Scikit, Numpy, Pandas, Decision Trees, Cluster (K-Means/ Hierarchical), Forecasting, and Time Series Analysis.