Syed Amjad Ali
@Syed-Amjad-AliI’m a Data Analyst and graduate student at NHH, Bergen. Passionate about transforming data into actionable insights.
Language Breakdown
Lines of code distribution across 13 owned repositories
I-Shaped Developer
I-shapedSpecialist — deep expertise in Jupyter Notebook
Collaboration Network
Global Impact visualization
Repos
16
PRs
0
Growth
+18%
Top Collaborators
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Coding Streak
Contribution activity over the past year
Hira Hasan
@HabibulHH
Pathfinder Analytics
@pathfinder-analytics-uk
Øyvind Brakstad
@Brakistad
Malvik Vaghadia
@malvik01
Abdul Basith
@abdulbasithk29
Top Repositories
Production-grade Databricks project implementing Dev–Test–Prod workspace separation using Databricks Asset Bundles and automated CI/CD with GitHub Actions.
Databricks Repo for Day-ahead electricity price forecasting project, using Electricity price API and Weather API, starting from simple and interpretable models and gradually adding complexity. The aim is to gradually turn the pipeline more Robust using DAB and Improve the Model
Repo for end-to-end Data Project in Databricks
Repo for storing Notebooks Jobs for my New York Taxi end to end data pipeline
Repository for my Cloud Resume Challenge implementation. A production-style personal portfolio hosted on Azure using static storage, CDN, and Cosmos DB, with a secure CI/CD pipeline powered by GitHub Actions and OpenID Connect.
My attempt at 100 days of Python. The goal is to regularly push easy-medium-hard python code to keep the ticker ticking
Predicting bank customer churn using machine learning. This project applies both supervised and unsupervised learning techniques, including classification models (Logistic Regression, Random Forest) and customer segmentation using K-Means clustering.
Analyzing AirBnB listings in Paris to determine the impact of recent regulations
This was a simple SQL project where I analyzed restaurant sales data, showcasing skills in data creation and querying. The project explores menu performance, order trends, and customer insights.
Analyzing Bergen Bysykkel 2024 data with Python, this project integrates weather insights to explore bike usage patterns and station activity. It features advanced visualizations and predictive modeling, showcasing Python's versatility for data analysis.
Open Source Impact
Contributions to external projects
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