- π Venturing through the realms of Python/R, SQL, Machine Learning, Natural Language Processing, and Deep Learning.
- π Passionate about decoding the stories hidden in data, one line of code at a time.
- π Journeying through books, exploring new territories, and embracing cinematic adventures.
- π Occasionally competing in the arena of data science or sharing insights on Kaggle.
π Alumnus of the University of Edinburgh, where I delved into the mysteries of big data and emerged as a problem-solving sorcerer.
- Python π
- R π
- PostgreSQL, MySQL, MS SQL Server π
- Talend πͺοΈ
- Tableau, Power BI, Looker, Seaborn, Matplotlib, ggplpot, tidyverse, Plotly π
- Excel, Google Sheets, SPSS, Minitab π
- Google Analytics, Search Console, Tag Manager, Ads π
- IBM Watson Studio, Cloudera, BigQuery βοΈ
- Scikit-Learn, Scipy, H2O AutoML, PyCaret, Tensorflow βοΈ
- NLTK, Scapy, Pyspark π
- Jags, Coda, INLA π
Feel free to reach out for data adventures or just to chat tech! My code runs on curiosity and coffee. Let's make data magic! β¨
- β‘ Forecasting UK Electricity Demand: Predicting power needs for a brighter future.
- π Identifying Individual Risk Factors for Leptospirosis Infection in Kenyan Pastoral Landscape: Exploring health patterns in the heart of Africa.
- π¨ Hotel Booking Cancellation Prediction: Unveiling the secrets behind booking behaviors.
- πΊ The Office IMDb Rating Prediction: Predicting the laughs and drama on the Dunder Mifflin scale.
Feel free to explore the details: