About

Sohail Ali Shaik is an experienced Machine Learning Engineer and Data Scientist with a demonstrated history of working with large amounts of structured and unstructured data with varying quality. He has the ability to deliver trustworthy AI solutions to production and can pick up domain knowledge quickly. Sohail is an effective communicator with leadership skills and practical problem-solving capabilities, and has a significant ability to work in team environments. Currently, Sohail is working at Mad Street Den as a Machine Learning Engineer, where he is handling the search and personalization for a multi-brand e-commerce platform that supports 60 million consumers. He has developed a Machine Learning model supported by statistical analysis to predict the popularity based on trending products and built a recommendation system using collaborative filtering to bolster user personalization. Sohail is adept at using microservices architecture, containerization (Docker), version control (GIT), and deployment using CI/CD tools. He has gained experience building and implementing models in Python using associated packages, namely pandas, Numpy, scikit-learn, and bokeh. While developing use cases, he has achieved experience using Azure cloud, spark engine, SQL, databricks, solr, orchestration using Airflow, and logging via Kibana. Prior to joining Mad Street Den, Sohail worked at Moengage as a Data Scientist, where he focused on MAB algorithms like Epsilon, Greedy-epsilon, Thompson sampling, and UCB. He has also worked at CCC Information Services as a Data Scientist (Practicum), where he tracked 40 GB of CCCIS Employee data regarding the usage of AWS and performed exploratory data analysis on the data and applied advanced algorithms like Random Cut Forest, Isolation Forest, and DBSCAN to obtain anomalies. Sohail holds a Master's degree in Data Science from the Illinois Institute of Technology and a Bachelor's degree in Computer Science from Sreenidhi Institute of Science and Technology. He has also completed 10+2 from Narayana Junior College and high school from Loyola Public School. Sohail has experience working with various technologies, including ML, Data Scientist, Research Scientist, AI, Search, SQL, Recommendation system, Python, Databricks, AWS, Spark, Apache Airflow, Scikit, CI/CD, Pandas, Azure, Docker, Microservices, Amazon Athena, test, Hadoop, Seaborn, OpenCV, Big Data, Computer Vision, HDFS, Deep Learning, NLP