About

Aquib Ehtesham is a highly skilled Python and Machine Learning developer with over 5 years of relevant experience. He has a strong background in Python programming, MongoDB, Machine Learning, Text mining, Text & Image Classification, and Restful Web Services. Currently, he is working on an AI & Machine Learning project in Python based on Text and Image Data. He thrives in challenging environments and enjoys working on complex projects. Aquib is currently working as a Senior Python Developer at Infosys, where he is responsible for working with Kubernetes and Docker environments, interacting with Kafka topics and Hadoop, creating automation using Python, and working with Apache Airflow and Splunk for data gathering. He also has hands-on experience with Big Data and Spark. Prior to his current role, Aquib worked as a Software Development Engineer at TCS, where he gained expertise in Python programming and UNIX/LINUX. He was a Programmer Analyst in Python for Machine Learning and had experience in Regression, Classification, Ensemble algorithms such as Logistic Regression, Decision Trees, AdaBoost, Random Forest, and Unsupervised ML Algorithms such as Clustering. He also has expertise in NLP, Deep Learning algorithms, Text Classification, Document Classification, and worked with Tesseract OCR and Abby OCR. Aquib has a B.Tech degree in Electronics & Communication Engineering from Asansol Engineering College, West Bengal, and completed his 12th from St. Xavier School, Hazaribagh. He also completed his 10th from Vivekananda Central School, Hazaribagh. Aquib's technical skills include Python, ML, Text Classification, Web, Deep Learning, AI, Spark, Apache Airflow, Big Data, BERT, Random Forest, Object detection, Kubernetes, Docker, MongoDB, Hadoop, Kafka, Object Detection, Software Engineer, NLP, SDET, test, Tensorflow, Elastic Search, Microservices, and Search. He is a highly motivated and dedicated individual who is always eager to learn and take on new challenges.