Khalander Sheikh
About Khalander Sheikh
Khalander Sheikh is a Senior Data Scientist and Data Science Manager with over 11 years of experience in predictive modeling and AI. He has worked with various companies, including du, Cablecom-Metrored, and L&T Infotech, and possesses extensive knowledge in deep learning, AWS services, and Python libraries.
Work at du
Khalander Sheikh has been employed at du as a Senior Data Scientist/Data Science Manager since 2016. In this role, he has contributed to various data science initiatives, leveraging his expertise in predictive modeling and AI. He provides weekly reports to the director, ensuring transparency and accountability in project progress. His responsibilities include evaluating new change requests and coordinating with multiple departments, including PE, Business, and Marketing/Planning Operations.
Education and Expertise
Khalander Sheikh earned a Bachelor of Technology (B.Tech.) in Electrical, Electronics, and Communications Engineering from JNTU, Hyderabad, from 2003 to 2007. He possesses over 11 years of experience in design and development, focusing on predictive modeling and hypothetical testing in AI. His technical skills include extensive knowledge of Python libraries such as Numpy, Pandas, TensorFlow, and Keras, as well as analytical reporting tools like Tableau.
Background
Prior to his current role at du, Khalander Sheikh held several positions in the tech industry. He worked as a Tech Lead at Cablecom-Metrored for 11 months, where he implemented RODOD. He then served as a Lead Consultant at L&T Infotech for one year. His earlier experience includes roles as a Senior Software Engineer at Covalense and as a Software Engineer at FairPoint Communications, Equifax, and GSK.
Technical Skills and Projects
Khalander Sheikh has hands-on experience with AWS services, including creating clusters, VPC, EC2, Load Balancers, Auto Scaling, Dynamo DB, and RDS. He has designed and developed deep learning models using CNN, NLP, and RNN for predictive purposes. Additionally, he has expertise in developing AI algorithms using techniques such as K-NN, K-Means, Linear and Logistic Regression, Naive Bayes, Decision Trees, Random Forest, SVM, PCA, and Clustering. He also conducted a proof of concept for a Time Series Algorithm aimed at effort prediction in vendor management.
Professional Contributions
In his career, Khalander Sheikh has collaborated with a core team to integrate cutting-edge algorithms from research papers and GitHub repositories into diverse robotics platforms. His role as an end-to-end CRM expert encompasses design, development, and testing, showcasing his comprehensive skill set in the data science and software engineering domains.