About

Geet Sameer is a highly skilled Data Scientist with over 6 years of experience in the field. He is currently working as a Data Scientist II at Ericsson R&D, where he applies his expertise in Machine Learning, Deep Learning, and Big Data to solve complex problems related to customer lifetime value, customer churn, predicting product tags, and search intent classification problems in the e-commerce domain. Geet is an IIIT Hyderabad Alumni with a Master's degree in Computer Science. He has a sound knowledge of Machine Learning and Deep Learning algorithms and has practical implementation experience of each algorithm and math behind it. He is proficient in programming languages such as Python and JavaScript and has experience in backend development. Geet has worked on interesting problems in the e-commerce domain such as optimizing labor for retail and warehouse stores, building personalized product recommended systems, Computer Vision, NLP, Smart search, and building an Auto ML product that automates the entire machine learning workflow. He has also built Big Data solutions using distributed processing frameworks such as Hadoop and Spark. Geet's technical skills include Linear regression, Logistic regression, Unsupervised learning, Clustering, Support vector machines, Recommendation systems, Decision trees, Random forests, KNN, XGBoost, Ensembles, CNN's, RNN's, LSTM, Keras, Tensorflow, BERT, Descriptive and Inferential Statistics, Hadoop MapReduce, Spark, Matplotlib, plotly, Dash, and more. Before joining Ericsson, Geet worked as a Senior Data Scientist at Aienterprise, where he built an Automated ML workflow that automates the entire machine learning workflow. He also worked on optimizing labor for retail and warehouse stores, building personalized product recommended systems, Computer Vision, NLP, and Smart search. He worked on improving the search results of an e-commerce using NLP. Geet has a Bachelor's degree in Computer Science from Swarnandhra College of Engineering & Technology. He has a diverse TechStack that includes Data Scientist, Research Scientist, ML, Python, NLP, Computer Vision, Spark, Deep Learning, Search, Backend, Javascript, Recommendation system, Hadoop, XGBoost, NoSQL, Keras, CNN, RNN, Big Data, MapReduce, SQL, Tensorflow, Redis, MongoDB, product designer, Cassandra, Web3, Blockchain, Hyperparameter, Scikit, CI/CD, test, Django, MySQL, Flask, Integration,