Tushar Surani.I build intelligence into data.
B.E. Computer Science graduate transforming raw data into intelligent, real-world solutions. I work at the intersection of statistics, machine learning, and clean engineering — turning messy datasets into products people actually use.
About me
A quick introduction to who I am, what I do, and the toolkit I rely on every day.
Hello! I'm Tushar Surani — a B.E. Computer Science graduate (Data Science specialisation) based in Surat, Gujarat, India. I love taking ideas from whiteboard to a working model in production.
Most of my time is spent training models, exploring datasets, and shipping clean APIs that make those models useful. I'm fascinated by the way good data, careful evaluation and a little bit of UX can compound into products that feel almost magical.
When I'm not at the keyboard, you'll find me reading research papers, sketching system designs, or hunting for the perfect cup of coffee.
Toolkit
B.E. in Computer Science Engineering
Vidush Somany Institute of Technology & Research · 2023 – 2027
Things I've built
A selection of recent work spanning machine learning, deep learning, data analysis, and the occasional web app.
Where I've been
A timeline of education, internships, certifications, and the academic projects that shaped my path.
B.E. in Computer Science Engineering
Gujarat Technological University · Ahmedabad, Gujarat
Specialised in Data Science with a focus on machine learning, statistics and full-stack development.
- Coursework: ML, Deep Learning, Statistics, Algorithms, DBMS
- Final-year capstone on multi-modal disease detection
- Active member of the AI / ML student chapter
Data Science Intern
Placeholder Analytics Pvt. Ltd. · Remote
Built end-to-end ML pipelines for customer-segmentation that drove a 12% lift in campaign engagement.
- Productionised a clustering model with Airflow and Docker
- Designed Tableau dashboards shipped to 30+ stakeholders
Deep Learning Specialisation
DeepLearning.AI / Coursera
Five-course specialisation by Andrew Ng covering CNNs, RNNs, attention and transformer architectures.
Google Data Analytics Certificate
Google / Coursera
Hands-on training in SQL, R, Tableau and the full data analytics workflow.
Multi-modal Disease Detection (Capstone)
B.E. Final Year Project
Combined chest X-ray imagery with structured patient vitals using a late-fusion neural network for early disease screening.
- Built two-tower model in PyTorch (CNN + tabular MLP)
- Reported 0.94 ROC-AUC across 6 disease classes
Skills & toolkit
A non-exhaustive map of what I've worked with — orbiting in 3D, then broken down by category.
Programming Languages
Languages I reach for daily.
ML / DL Frameworks
Training, fine-tuning and shipping models.
Data Tools
From wrangling to visualisation.
Web Technologies
Wrapping models in delightful UIs.
Soft Skills
How I work with humans.
Get in touch
My inbox is always open. Whether it's a collaboration, a question, or just hello — I'll get back to you.
Building something interesting?
I'd love to hear about it.
I'm currently open to internships, full-time data-science roles, and collaborative ML projects.