Dynamic team leader at Inditek Pioneer Solutions, driving a 30% reduction in data processing time through innovative automation and effective data management strategies. Proficient in Python with a strong focus on collaborative leadership, which has significantly enhanced system performance and operational resilience. Detail-oriented with proven experience in defect identification, documentation, and reporting while advocating for customer needs. Skilled in writing comprehensive test cases and scripts to ensure quality assurance.
Python, Scala, Java, SQL, Amazon Web Services – IAM, S3, EC2, SNS, SQS, KMS, VPC, Athena, Glue, Lambda, Cloud Formation, Step Functions, Transfer Family, CloudWatch, CloudTrail, Tableau, Power BI, MS Excel, Python Plotly, Matplotlib, Amazon DynamoDB, Amazon Redshift, MySQL, Oracle, PostgreSQL, MongoDB, HDFS, GitLab, GitHub, Docker, HashiCorp Vault, Apache Spark, Apache Hadoop, Amazon EMR, Snowflake, Visual Studio, PyCharm, Eclipse, Dbeaver.
Property Price Prediction, Developed a machine learning model for property price prediction in urban markets, leveraging advanced algorithms for accurate market analysis and forecasting, Capstone Project. Visualization Project, Analyzed a dataset of 10,000 popular movies to identify trends, examining factors like language, genre, release date, runtime, popularity and revenue. Developed and maintained dashboards and reports using Tableau and Power BI. Big Data Tools and Cloud Deployment, A Linux-centric approach with HDFS, Sqoop, Hive, and Spark in Scala.