I am a Data Enthusiast with a strong passion in Data Science & Machine learning, Statistical and predictive analysis.
• 3 years of experience with Data mining, mathematics, and statistical analysis
• Experienced in working with cloud technology services like Azure ML, and AWS (S3 & EC2) as well as version control tools like Bitbucket and GitHub.
• Good knowledge of Hadoop ecosystem components such as HDFS, Hive, and Apache Spark, enabling efficient data processing and analysis.
• Areas of Interest : Machine Learning, Predictive Data Analytics, Big Data Cloud Data Engineering &
Modeling
Skills:
- Programming: Python, Java, SQL, PySpark, C, C++.
- Data processing: Spark, Kafka, Hadoop
- Data Analytics/Visualization : Tableau, Matplotlib, Seaborn.
- Machine Learning : Linear and Logistic Regression, Support Vector Machine, Naive Bayes, Boosting,
Random Forest, Deep Learning, Neural Network(CNN & ANN).
- DevOps: Kubernetes, Docker
- Data Management: Informatica (IDQ, EDC)
- Databases: MySQL, PostgreSQL, NoSQL
- Cloud: Microsoft Azure ML.
- Other: Git, , Bash, Shell, PostmanAPI
In addition to these, I emphasize collaboration and interpersonal abilities as well as a clear desire to learn more because of the incredibly outstanding peers I have worked with. This gives me a competitive edge in terms of producing high-caliber work and fostering teamwork.