Professional Summary:

• 2+ years of hands-on experience in developing Machine Learning and Deep Learning models for clustering, regression and classification solutions using Python programming language. 
• Experience with structured as well as unstructured data like images to perform tasks like image classification,  augmentation, dropout, object detection, etc with CNN's and text data to perform tasks like tokenization, embeddings, projection, translation, NER, sentiment analysis, chatbots etc. on frameworks like TensorFlow.
• In depth knowledge of modern as well as conventional machine learning algorithms like XGBoost, kNN, linear/logistic regression, k-means, Naive Bayes, SVM, Random-forest, Decision trees, PCA etc. with knowledge of specifications of data preprocessing and fine-tuning hyperparameters for these algorithms. 
• Build ETL/ELT and Data pipelines for streaming as well as batch data using Apache Airflow & Kafka and can design a complete data warehouse with star/snowflake schema using fact/dimension tables with data loading, data verification, change detection and visual dashboard (Cognos) as well as applying CUBE and ROLLUP options.
• Hands-on experience with setting up different databases and performing SQL queries for data retrieval and transformation, as well as processes like data analysis, data cleaning, feature engineering and data transformation. Can handle different datatypes, filetypes and encodings.
• Extensive experience in transfer learning and fine-tuning using TensorFlow Hub, Keras retrained models and Sagemaker Docker Images. Certified in cloud computing and can perform all the above processes on the cloud: 2X AWS. Understanding of agile methodology and its values: Certified in Google Agile Project Management.

   Machine Learning Specialty      Cloud Practitioner      TensorFlow Certified Developer      MySQL      Google Agile Project Management      IBM - SQL for Data Science      Tableau      IBM - ETL & Data Warehousing