Data Scientist - Serving humanity with AI
• Anomaly detection on financial datasets with unsupervised learning solutions.
• Proficiency in building and training Deep Learning Neural Network (Autoencoder, CNN, RNN, LSTM) with TensorFlow on terabyte-scale datasets.
• Practical experience with Predictive Analytics using statistical techniques and machine learning algorithms including Random Forests, ARIMA, Boosting, K-means Clustering, and so on.
• Industrial experience with NLP sentiment analysis, multi-label classification, text generation, etc.
• Google Cloud Certified Professional Data Engineer that provides Cloud AI solutions for startups to design and build a batch/streaming ETL pipeline with BigQuery, Dataflow, Bigtable, Dataprep, Cloud Machine Learning Engine.
• 7+ years of experience in the full software development lifecycle – from concept through delivery of next-generation applications and customizable solutions.