• Highly skilled Machine Learning Engineer with around 4+ years of experience delivering impactful solutions for clients in various industries. • Experienced in supervised, unsupervised, and reinforcement learning algorithms including Regression and classification techniques like SVM, Decision trees, Random forests, XG Boost, Clustering, Feature reduction techniques like PCA, and Bigdata Analytics, and visualization using Matplotlib, Excel, Power-BI.• Worked on image processing, object detection using neural networks and ml models.• Driving projects on an end-to-end basis i.e., from understanding the business problem, data collection from different data sources, data cleansing, building and deployment of predictive models, visualizing the outputs, and presenting results to the client.• Developed MapReduce/Spark, python modules for ML and Predictive analytics in Hadoop.• Good experience with Python libraries & frameworks such as Pandas, NumPy, TensorFlow, OpenCV, PyTorch & Keras.• Highly proficient in Development, Implementation, Administration and Support of ETL processes for Large-scale Data warehouses by Using Informatica Power Center 10.x/9.• Superior SQL skills and ability to write and interpret complex SQL statements and also skillful in SQL optimization and ETL debugging and performance tuning.• Experienced in implementing Azure data solutions, provisioning storage account, Azure Data Factory, SQL server, SQL Databases, Azure SQL database, Azure Data Bricks and Azure Cosmos DB.