🦥 Anmol Durgapal

A data professional and developer crafting action-oriented solutions.

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About Me

Hey! I'm a data professional and developer. Currently, I am working with the Data Science and AI engineering team at Networth Corp. Here, I have extensively contributed to a diverse set of roles and responsibilities which includes process engineering, data infrastructure engineering, and frontend development. Prior to this, I have also been a part of developing and delivering user-friendly open-source visualization tools particularly catering to the domain of sports analytics.


Skills

➲ Python: Numpy, Pandas, Dask, Polars, SciPy, Statsmodels, Matplotlib, Seaborn, Plotly, Dash, Scikit-Learn

➲ Database: MySQL, Microsoft SQL Server, PostgreSQL, PyODBC MongoDB

➲ Microsoft Azure: Azure DevOps, Azure Repos, Azure Pipelines, Azure Functions, Databricks, Azure Data Factory, ADLS

➲ Frontend: Python Dash, Python Streamlit, Microsoft Power Platform (Power BI, Power Apps, Power Automate)

➲ Statistical Analysis, Data Mining & Maching Learning

➲ Others: Version Control (Git/GitHub), Microsoft Excel, draw.io (UML Diagrams/Flowcharts), Trello (Kanban Framework)

➲ IDEs: Jupyter Notebooks, VS Code, PyCharm, and Spyder

Work Experience

Data Scientist, Networth Corp

@networth-corp.com

July, 2021 - Present

  • ➲ Stakeholder Engagement:
    • Collaborated closely with stakeholders to identify operational pain-points, leading to targeted and impactful solutions.
  • ➲ Data Architecture and Development:
    • Contributed to the development of a project management platform to help an organization process-engineer its value tracking, investment planning, and project prioritization activities for Analytics and GenAI capabilities.
    • Contributed to the development of a data analytics platform that provides insights from sensory data coming from trained tasting panels evaluating a consumer product, delivering these insights to stakeholders to support their decision-making.
    • Developed and implemented backend data pipelines using Python and SQL on Azure DevOps for data processing, maintenance and backups.
    • Additionally, achieved an 82% reduction in processing time for pre-existing data pipelines by leveraging SQL and Pandas.
    • Designed and developed efficient frontend applications using Power Apps, resulting in an 89% reduction in CRUD operation execution time.
  • ➲ Data Visualization and Reporting:
    • Constructed customized Power BI reporting views aligning with business user requirements.
    • Developed a Python Dash web application for visualizing beer fermentation data, facilitating more informed decisions for brewery stakeholders.
    • Consolidated unstructured data to create a reporting dataset in Qlik Sense that enables stakeholders to analyze service performance.
  • ➲ Documentation and Workflow Management:
    • Documented data model diagrams and pipeline workflows using Draw.io, establishing a clear and efficient data management process.
    • Utilized spreadsheet-based data dictionaries to maintain organization and clarity across projects.
    • Employed Azure DevOps for comprehensive sprint planning, enhancing project tracking and team coordination.
    • Utilized the Kanban framework in Trello for task management.
  • 1 Fortune 500 Client
  • 4 Projects

Personal Projects & Contributions

🎐 Open Source Contribution

  • mplsoccer is a Python library for plotting soccer/football charts in Matplotlib and loading StatsBomb open-data.
  • Inducted in Matplotlib's third-party-package list.
  • The official documentation page registers 1K+ hits per month worldwide.
Skills: Object-Oriented Programming, Python, Matplotlib, Data Visualization, Technical Documentation

🎐 Open Source Contribution

  • soccerplots is a Python library for plotting radar charts and bump charts in Matplotlib.
  • It's functionalities are now merged with mplsoccer.
Skills: Object-Oriented Programming, Python, Matplotlib, Data Visualization

Nightingale Chart Plotter

💻 Personal Project

  • Developed an interactive web app using Python hosted on Streamlit server that generates nightingale charts.
  • Engineered a user-friendly design customization feature within the application, enabling users to modify the chart layout.
Skills: Data Visualization, UI/UX, Streamlit, Matplotlib, Python

Website template and code inspired by yashsehgal