Nitish

Nitish is a highly skilled professional with a diverse data science and database management background. With expertise in MongoDB, MySQL, Data Science with Python, Tableau, Power BI, Advance Excel, AWS, PostgreSQL, and Machine Learning, He possesses comprehensive skills to tackle complex data challenges. He has extensive experience developing models in machine learning using techniques such as Linear Regression, Logistic Regression, K-Nearest Neighbors (KNN), and K-Means Clustering. Additionally, Nitish has a solid understanding of Natural Language Processing (NLP) techniques, including Tokenization, Stemming, Lemmatization, and Sentiment Analysis.

Nitish's proficiency extends to deep learning frameworks, including Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), and Recurrent Neural Networks (RNN). These skills enable him to work on complex deep-learning tasks and projects. Moreover, He is adept at utilizing powerful visualization tools such as Power BI and Tableau to transform complex data into intuitive and insightful visual representations. These skills facilitate effective data communication and decision-making processes. Regarding cloud computing, Nitish is well-versed in working with Amazon Web Services (AWS) services such as EC2, S3, and RDS, enabling him to develop scalable and efficient data solutions on the cloud platform. He has acquired the Dataiku Core Designer Certification, indicating his expertise in utilizing the Dataiku platform for data science and machine learning workflows. This certification demonstrates his ability to leverage advanced data manipulation, analysis, and modeling tools.

Furthermore, Nitish has demonstrated his proficiency in handling various relational databases, including MySQL, Oracle, and PostgreSQL, as well as unstructured databases like MongoDB. His experience encompasses traditional database management and big data technologies such as Hadoop, Sqoop, Hive, Pig, HBase, Cassandra, NiFi, and Kafka. With a wealth of knowledge and expertise in data science, machine learning, visualization, and database management, He is well-equipped to tackle complex data challenges and deliver innovative solutions. His versatility and proficiency in various technologies make him a valuable asset in any data-driven project or organization.