Data Analyst · Data Engineer · Data Scientist · AI Enthusiast

I interrogate data until it confesses.

Hi, I'm Abeera Tahir Chaudhary — a data scientist at Digitalis Global, Pakistan, building ML systems that turn messy data into structured, actionable insights.

See My Work Get in Touch

Data storyteller. Pattern hunter.

I'm a Data Scientist & Data Engineer currently at Digitalis Global, Pakistan. My work spans the full data lifecycle — from ingestion pipelines and KPI frameworks to machine learning models and interactive dashboards.

I'm drawn to projects where data has real stakes: financial forecasting, recommendation systems, risk scoring, and decision modelling. I care about making models interpretable enough to actually be used, not just built.

Right now I'm deepening my expertise in advanced ML, decision modelling, and building interactive data apps with Streamlit and Dash — and actively looking to collaborate on applied AI and forecasting projects.

⚡ Fun fact: I don't trust data at first glance — I interrogate it until it confesses its patterns.

Tools & Techniques

🤖
Machine Learning & AI
Scikit-learnPyTorch TensorFlowKeras MLflowProphet DEAP GEN AI NLP LLMs Optimization
📊
Data & Analytics
PythonR SQLPandas NumPySciPy
Big Data & Engineering
Apache SparkHadoop FastAPIFlask Node.js
📈
Visualisation & BI
PlotlyMatplotlib Power BIStreamlit GrafanaSeaborn
🗄️
Databases
MySQLMongoDB MS SQL ServerFirebase
⚙️
DevOps & Cloud
DockerKubernetes JenkinsGitLab CI OpenCV

Projects

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Right Now

What I'm working on

🌱 Currently Learning

Advanced machine learning, decision modelling, and building interactive data apps with Streamlit & Dash. Also focused on scaling ML projects into production and improving model interpretability for business teams.

🤝 Open to Collaborate On

Applied AI / Data Science projects — especially recommendation systems, forecasting, and decision modelling tools. If you're building something that turns messy data into structured value, let's talk.

💬 Ask Me About

Data storytelling, KPI frameworks, forecasting logic, and turning raw unstructured data into insight-rich pipelines. Also happy to discuss financial data analysis and investment intelligence for emerging markets.

🔭 Building Next

A Streamlit dashboard for real-time NAV tracking on the Mutual Fund Intelligence platform, plus experimenting with LSTM and Transformer-based forecasting as a follow-up to the current Prophet models.

Get in Touch

Let's work together.

Open to collaborations, freelance projects, and full-time roles in data science & AI.