May 2018 - Present
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