Birhanu Gebisa's repositories
Algorand-dapps_smart-contract
Build an end-to-end Web3 dapps on the Algorand Blockchain that will help 10 Academy generate and distribute Non-Fungible Tokens (NFTs) as certificates that will represent the successful completion of a weekly challenge to trainees, and allow trainees with NFTs to interact with a smart contract to perform pre-defined actions.
Language-Models-NER
To explore the LLMs such as GPT-3. Demonstrate the strategies to design prompts are reproducible and produce a consistent result. Set up an MLOps pipeline that helps automate the task of using different LLMs and different topics. Allow improvements in the prompt design to be integrated without breaking the system and centralized log system should be incorporated into pipeline.
alx-backend
alx-backend
alx-backend-javascript
alx-backend-javascript
alx-backend-user-data
alx-backend-user-data
alx-higher_level_programming
High level language projects
alx-low_level_programming
alx-low_level_programming
backtesting
Cryptocurrency trading engineering: A scalable back testing infrastructure and a reliable, large-scale trading data pipeline
Data-Engineering_text-to-speech_data-collection
Data Engineering: text-to-speech data collection with Kafka, Airflow, and Spark
Data-warehouse
The data warehouse should take into account future needs, organise data such that a number of downstream projects query the data efficiently. Use the Extract Load Transform (ELT) framework using DBT. Unlike the Extract, Transform, Load (ETL), the ELT framework helps analytic engineers in the city traffic department setup transformation workflows on a need basis.
DataEngineering_Datawarehouse_airflow
Fully dockerized Data Warehouse (DWH) using Airflow, dbt, PostgreSQL and dashboard using redash
Delivery_drivers_Causal_Inference
A delivery drivers location optimization with Causal Inference
ganache-ui
Personal blockchain for Ethereum development
homemade-machine-learning
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
location_smart_contract
The refund by location smart contract is aimed to be used when one party, for example an employer, agrees to pay another party, for example an employee, for being present in a certain geographic area for a certain duration. The employee’s phone sends its GPS location to a smart contract at a certain interval.
Pharmaceutical_sales_prediction
Forecast sales in all their stores across several cities six weeks ahead of time. Exploration of customer purchasing behavior Prediction of store sales Machine learning approach Deep Learning approach Serving predictions on a web interface
SmartAd_A-B_Testing_user_analysis
The main objective of this project is to test if the ads that the advertising company runs resulted in a significant lift in brand awareness
alx-files_manager
alx-files_manager
BirhanuGebisa
Config files for my GitHub profile.