In My Element
In My Element
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Why I Blog
Why I Blog
I started blogging to make bioinformatics more human and less intimidating. Whether it's decoding genomics, writing tutorials of various Bioinformatics processes, or just documenting what I’ve learned the hard way. I believe knowledge should be shared, not hoarded
My blog is where my scientist side meets my writer side. It’s raw, real, and nerdy.
Why this dataset?
The goal of this dataset is to empower data scientists, healthcare analysts, and researchers to explore trends in drug usage, analyse safety data, visualise public perception through ratings, and build predictive models around side effects or drug efficacy.Whether you're building dashboards, training machine learning models, or creating healthcare applications, this dataset is your prescription for insight.
The goal of this dataset is to empower data scientists, healthcare analysts, and researchers to explore trends in drug usage, analyse safety data, visualise public perception through ratings, and build predictive models around side effects or drug efficacy.Whether you're building dashboards, training machine learning models, or creating healthcare applications, this dataset is your prescription for insight.
Kaggle datasets that slay
Kaggle datasets that slay
I'm an active Kaggle contributor, sharing real-world, clean, and research-ready datasets for the data science community. My data uploads have reached thousands of curious minds, analysts, and aspiring ML experts
Highlight Datasets:
Drugs, Side Effects & Medical Conditions: 6.5K+ views, nearly 1.4K downloads
Life Expectancy Analysis: 7.5K+ views and almost 1.7K downloads
Open data is power, and I love helping others explore it.
From Code to Discovery: My GitHub Projects
From Code to Discovery: My GitHub Projects
Each repo here tells a story of challenges debugged, pipelines built, and data decoded. Whether it's Data wrangling and EDA, Machine Learning and Deep Learning Analysis, NGS, variant annotation or phylogenetics. I don’t just analyse data, I interrogate it.
Life Expectancy Predictor (Streamlit App)
Life Expectancy Predictor (Streamlit App)
Project goal:
To analyse and visualise global health indicators that impact life expectancy by predicting the variables.
To build and evaluate multiple Machine Learning and Deep Learning models to accurately predict life expectancy.
Featured: Deployed Streamlit link
Variant Calling WES pipeline of a rare disease
Variant Calling WES pipeline of a rare disease
Project goals:
Rare disease-focused WES pipeline from raw FASTQ → annotated variants.
Mastery of Linux command-line tools for real-world bioinformatics.
Clinical insights through variant annotation & prioritization.
Transferable skills for genomics research & clinical diagnostics.
Featured:
End-to-end workflow: From raw reads to annotated VCF.
Automated QC reporting
Rare disease relevance: Pipeline tailored for rare phenotype exploration.
Reproducibility: Modular scripts for easy reuse across datasets.
Organised repo
Volunteering & Impact
Volunteering & Impact
Giving Back with a Purpose
Giving Back with a Purpose
When I'm not decoding genomes or wrangling datasets, you’ll find me out in the wild, digging up weeds, planting flowers, and sparking change in the community. I believe giving back isn't just about service; it’s about cultivating kindness, one effort at a time.
🌍 Community Volunteering
Whether it was getting my hands dirty in greenhouses or brightening up local spaces with daffodils, I’ve collaborated on grassroots initiatives that promoted sustainability, beautified shared spaces, and helped the community thrive. It’s about action, not credit and I’m always ready to lend a hand (or a shovel).
🧠 Open Science Advocate
Data should serve, not just sit in silos. Through my Kaggle contributions, I make real-world datasets accessible for learning, exploration, and problem-solving.
Thousands of downloads, thousands of minds sparked. That’s the power of shared science.
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