My name is Divya Bansal. I am a Data Engineering and Analytics Master's Graduate from the Technical University of Munich.
I am enthusiastic about all topics pertaining to data science, data engineering, machine learning and AI.
Techniques 💪🏽
- Data Analysis (EDA, visualization, statistical modelling)
- Data Engineering (Data mining, ETL, cloud computing, deployment)
- ML/DL algorithms (traditional and modern) (NLP, CV, Tabular, Time-Series)
- Software Engineering/Development
Toolbox 🖥️
- Python (Advanced): Used it extensively in professional and university projects. Can confidently develop data engineering/analysis/ML/DL solutions and scripts.
- SQL (Advanced): Used it extensively in my previous work experience, also learned query optimization at a university course.
- C/C++/Java (Basic): Used in several projects but not in the recent years. To highlight, used former for advanced parallel programming using OpenMP and MPI and latter for Spring/OOP/Android development.
- HTML/CSS (Basic): Can develop basic website/dashboard/email templates and can read and understand code for web scraping
- Linux (Advanced): Used it extensively in professional and university projects. Used most common functions, wrote basic bash scripts, set up a virtual cluster of computers(at LRZ), worked with remote machines (ssh, scp, port forwarding) etc.
- MongoDB, Microsoft Power BI, PySpark, Hadoop, Ansible (Basic): Fundamental understanding and some project experience
- Docker, AWS (S3, EC2, Sagemaker), Airflow, Jenkins (Basic): Fundamental understanding and personal project experience with these tools
- Git, SVN, Autosys/cron, JIRA, Confluence, MS Office (Advanced): Used them extensively in professional and university projects