Machine Learning Engineer with a decade of experience in AI, Machine Learning, and Data Analytics, adept in integrating advanced technologies like Optical Character Recognition (OCR), Generative AI (GenAI), Large Language Models (LLM), Convolutional Neural Networks (CNN), and Deep Neural Networks (DNN) into complex systems. Skilled in areas of Predictive Analysis, Data Manipulation, Mining, and Visualization, with a strong foundation in Business Intelligence. Proficient in training algorithms on diverse cloud platforms, catering to industries such as finance, marketing, advertising, geospatial analysis, and IoT. Expertise in Natural Language Processing and Computer Vision, with a track record of constructing effective data ETL and machine learning pipelines, and implementing end-to-end MLOps solutions. Recognized for delivering seamless, impactful solutions in dynamic and challenging environments.
TOP SKILLS
Data science specialties: natural language processing, machine learning, internet of things (iot) analytics, social analytics, predictive maintenance, stochastic analyticsAnalytic skills: bayesian analysis, inference, models, regression analysis, linear models, multivariate analysis, stochastic gradient descent, sampling methods, forecasting, segmentation, clustering, naïve bayes classification, sentiment analysis, predictive analytics, econometrics modelling.Analytic tools: classification and regression trees (cart), h2o, docker, support vector machine, random forest, gradient boosting machine (gbm), tensorflow, pca, rnn, linear and non-linear regression, decision tree, support vector machine, stochastic gradient boosting, xgboost, lgbmVisualization analytic tools: power bi, tableau, r, python, matplotlib, plotly, seabornAnalytic languages and scripts/etl tools: r, python, hiveql, spark, spark mllib, spark sql, hadoop, scala, impala, mapreduce, aws s3, aws glue, emr, aws redshift, aws lambda, azure data factory, azure data lake gen 2, azure synapse, apache airflow, dags, data bricks, snow flake
