Aktaruzzaman
Senior Data Scientist @Infosys
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WORK HISTORY
Senior Data Scientist @Infosys
Berlin, DE
Design and deploy predictive costing projects for world’s largest sportswear manufacturers (Adidas) • Supporting Digital transformation project by performing data analytics for improved customer segmentation and increased revenue• Proactive customer engagement by designing upsell and cross -sell techniques for world’s leading tractor and machinery manufacturers based in Germany. • Ongoing initiative of predictive failure maintenance using IoT data to optimize operational hours of machineries
EDUCATION
University of Southampton, UK and ITC, the Netherlands
M.Sc., GIS and Remote Sensing
University of Southampton
Master of Science (M.Sc; Bachelor of Science (BSc, Geoinforamtion science
University of Kaiserslautern, Germany
PhD, Large unstructured data(LiDAR) , Geospatial data , Image processing
BUET
B.Sc. in Civil Engineering, Geotechnical and Environmental Engineering
ABOUT AKTARUZZAMAN
Data scientist with seven years of industry experience and four years in academia. Capable of developing advanced machine learning models and delivering deep insights into any business aspect as well as a trusted advisor in data driven decision making. Team player, meticulous person, focused on details and ready to assume new challenges.Key CompetenciesData driven strategy • Able to influence the strategic direction of the company by identifying opportunities in large, rich data sets • Create and implement data driven strategies that fuel growth including revenue and profits.Statistics and Machine learning• Experience with development of machine learning methods. Unsupervised methods include principal component analysis, factor analysis, k-means clustering, and hierarchical clustering. Supervised methods include logistic regression, KNN, support vector machines, naive bayes, decision tress, random forest, neural network, deep learning and ensembles of classifiers.Communication and visualization • Experienced in presenting in a handy manner to executive-level stakeholders. Share insights with colleagues across departments to work collaboratively on data-driven initiatives and projectsImplementation and Integration• Necessary software engineering skills to deploy and integrate machine learning models in production environment and thereby delivering innovative product and services Team Management • Manage and guide Data Science team to deliver products on time Technical Skills• Python (Pandas, Scikit-learn, Keras, Statsmodel, Numpy, Scipy, TensorFlow),R, MATLAB• Spark, Hadoop, SQL, H2O,• AWS (S3, Sagemaker,Lambda, Cloudwatch, Athena)• Matplotlib,Tableau, d3.js
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