A profound intrigue in programming and its possibilities ignited a passion for technology. This dedication encompasses both professional and personal endeavors, with substantial engagement in programming, data analysis, and artificial intelligence projects. Continuously seeking to stay abreast of advancements in these fields is a core commitment.The primary driver is the allure of complex challenges, offering immense satisfaction upon resolution. This pursuit of demanding tasks reveals a proclivity towards problem-solving and achievement.Proficiency spans various tools and languages including Python, C, C#, C++, Java, JavaScript, PHP, HTML, and R. Database management skills involve SQL, with expertise in PL/SQL and T-SQL. Machine learning specializations include supervised and unsupervised learning, reinforcement learning, neural networks, convolutional neural networks, recurrent neural networks, and natural language processing.Analytical and visualization competencies are demonstrated through adept use of Power BI and DataStudio. Workflow management and automation are managed using Airflow, Flask, Selenium, OpenMP, and MPI. Version control and collaborative work are facilitated through platforms like Github and Databricks, complemented by containerization via Docker and operations in Linux environments. BI and marketing automation tools utilized include Pentaho, Mixpanel, Oracle Responsys, Braze, and ActionIQ.Experience extends into the Hadoop ecosystem, managing components such as HDFS, Yarn, MapReduce, Hive, Pig, Spark, and Sqoop. Cloud computing expertise covers GCP's AutoML, BigQuery, Compute Engine, Storage, Cloud Build, Data Fusion, and Functions, as well as AWS services like S3, Athena, Glue, EMR, EC2, and Lambda.
Skills