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π I am a Data Geek
with 5 years of work experience in Data Engineer, Data Science and ML roles. I have hands on experience building end-to-end applications supporting data science and analytics, with expertise in desigining data warehouses, ETL, data pipelines, creating data visulization dashboards, training & deploying machine learning models, deep learning use-cases (NLP). -
β‘ In my free time, I contribute to open-source and read tech articles.
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π± Exploring Technical Content Writing.
Programming Languages | Python, SQL, R, Scala, Shell |
Data Warehousing | AWS Redshift, Azure Synapse Analytics, PostgreSQL, Data Lake, Delta Tables, Data Modeling |
ETL Tools | Airflow, Dbt β Data build tool, Airbyte, AWS Glue, Azure Data Factory, Spark, Kafka |
Cloud Technologies | AWS Lambda, S3, Glue Data Catalog, Athena, Databricks, Kinesis, Sagemaker, Cloud Watch, GCS |
Tools/Frameworks | Numpy, Pandas, PySpark, REST APIs, VS Code, Jupyter, CI/CD, Terraform, Docker, Git, SQL Workbench |
Machine Learning | Regression, Classification, Deep Learning, Ensemble Learning, A/B Testing, MLlib, Scikit-Learn, Keras |
Data Visualization | Tableau, Azure Power BI, Plotly, Dash, Matplotlib, Seaborn, ggplot2 |
Certifications | Azure Power BI Data Analytics, Databricks Apache Spark Developer, Data Engineering - DataCamp, Designing & Performing Statistical Experiments - DataCamp, Statistics with Python - DataCamp, Big Data Analytics β DASCA, Deep Learning Nano-degree by Udacity, Machine Learning - Univ.ai |