Data Scientist | Data Engineer | Data Analyst | AI/ML Developer

TECHNICAL SKILLS

Languages: Python, SQL, SparkSQL, Java, Scala, R, Bash
Libraries: PySpark, Pandas, NumPy, Matplotlib, Seaborn, Plotly, SciKit-Learn, SciPy, TensorFlow, Keras, PyTorch
Big Data Technologies: Apache Spark, Hadoop, Hive, Kafka, Airflow, Snowflake, Databricks, Azure Data Factory, Data Modeling
Cloud Technologies: AWS (S3, Lambda, Glue, IAM, EMR, Redshift, Kinesis), Azure, GCP (BigQuery), Docker, Kubernetes, Terraform
Databases and Tools: Relational (PostgreSQL, Oracle SQL, MySQL), NoSQL (MongoDB, Neo4j), Tableau, Power BI, Git, GitHub
Web App Frameworks: Spring Boot, Django REST, Flask RESTful, FastAPI, Angular
Others: Jira, Confluence, Jenkins, Notion, Jupyter, Google Colab, Microsoft Office (Excel), Postman, Streamlit
Certifications: AWS Certified Cloud Practitioner, ASU Project Management

Courses: Statistics for Data Analysts, Artificial Intelligence, Data Mining, Data Visualization, Data Processing at Scale, Statistical Machine Learning, Deep Learning, Numerical Optimization, Fundamentals of Statistical Learning and Pattern Recognition,

Courses: Data Analytics, Data Mining and Warehousing, Artificial Intelligence, Machine Learning, Engineering Mathematics.