Understanding client requirements, involved in business strategies with product managers and building end to end solution as per the business problem. Design and implement respective data services ML APIs, warehouses, pipelines etc. choosing appropriate technologies and frameworks. Narrow down and generate new sub-problems with solutions to further enhance the business objective. Summarize results and generate insights. Visualize and deliver the same. Iterate on the steps above. Technical Skills Programming Languages ➔ Proficient : Python ➔ Familiar : Java, C++ ➔ Database : MySQL, MongoDB AI/ML ➔ Supervised Learning : Linear Regression, Logistics regression, KNN, SVM, Naive Bayes, CART, Random forest, XGBoost, Baggin and Boosting, Time Series analysis, Hypothesis Statistics, ➔ UnSupervised Learning : K-Means, PCA ➔ Natural Language Processing : NLP, Spacy, word2vec, TF-IDF ➔ Deep Learning : Keras, Tensoflow Framework ➔ Flask