π A Data Analytics Engineering / Data Science graduate student at George Mason University.
π¬ My area of focus are: Data Engineering, Data Analytics, Machine Learning, NLP
π» Connect with me: LinkedIn
- Languages: Python, R, SQL, Java
- Databases: MySQL, PostgreSQL, MongoDB
- Big Data Technologies: Spark, ETL, Hadoop, Apache Kafka, Databricks, Apache Airflow, Mage,
- Cloud: AWS - EC2, RDS, S3, Lambda, IAM, CloudWatch, Redshift, Glue. GCP - BigQuery, Compute Engine
- Machine Learning: NaΓ―ve Bayes, Logistic/Linear Regression, SVM, Decision Trees, Boosting & Bagging, K-Means, KNN
- Data Science Libraries: Numpy, Pandas, Scikit-learn, Matplotlib, ggplot
- Tools: Tableau, PowerBI, Looker Studio, Git, Django
- Techniques: Data Cleaning, Data Visualization, Data Extraction, Exploratory Data Analysis, MS Excel, Statistical Analysis, Data Modeling, Data pipeline design, Schema Design, NLP, REST APIs, Predictive Modeling, A/B Testing