About

Raj Kamal is a highly skilled NLP Scientist with over 10 years of experience in the field of data analysis and machine learning. He possesses a deep expertise in designing and implementing various machine learning algorithms such as k-Means Clustering, Decision Trees, Support Vector Machines (SVM), Naïve Bayes, K-Nearest Neighbors (KNN), Random Forest, GBDT and XGBoost. Raj is proficient in Python data extraction and manipulation and has worked extensively with libraries such as NumPy, Pandas, Matplotlib and Seaborn for data analysis. Raj is a master of data visualization and has designed and created various Data Visualization Dashboards, worksheets and analytical reports using Tableau Visualizations to help users identify critical KPIs and facilitate strategic planning in the organization. He is also adept in statistical programming languages like Python and has deep expertise in Hadoop Development, including Map Reduce (MR1, YARN), HDFS, PIG, Hive, Impala, Sqoop, Oozie, Spark, Kafka and PySpark. Raj has successfully delivered several initiatives on Big Data Analytics and large data processing using Hadoop ecosystem. He has also created deployment plan scripts for moving applications from Development environment to Production environment in Hadoop using TeamCity, Jenkins and TCM. Raj is proficient in development methodologies such as Waterfall and Agile. Raj has worked with various companies in the past, including Vodafone and Wipro, where he served as a Data Scientist and Big Data Developer, respectively. He holds a Bachelor's degree in Computer Science from Bundelkhand University and has a strong educational background in the field of data science. Raj's technical skills include NLP, Research Scientist, Spark, Hadoop, SQL, Apache Hive, Seaborn, Python, test, Kafka, ML, SVM, XGBoost, Random Forest, HDFS, Big Data, Scikit, Pandas, Jenkins, GCP, Data Scientist, and Scala. With his vast experience and skills in data analysis and machine learning, Raj is an asset to any organization he works with.