Full-Stack / Django
PGDAV Placement Platform
Full-stack Django + React placement platform serving 1,000+ students. Integrated Python analytics pipeline and automated 60% of admin workflows via RESTful APIs.
Project Manager · Data Scientist · Web Developer
Nandini Saini
New Delhi, India
About Me
I'm pursuing B.Sc. Mathematical Sciences (Mathematics, Computer Science, Statistics) from the University of Delhi. I combine an analytical mindset with hands-on development — building full-stack platforms, ML pipelines, and data-driven systems for real clients.
Currently leading cross-functional teams at Candid Apricot as Project Manager & Team Lead, managing $50K+ project budgets and delivering scalable e-commerce platforms for international clients.
I believe in data-driven creativity — whether it's building a Django platform serving 1,000+ students or engineering ML recommendation systems that lift order value by 20%.
Experience
Project Manager & Team Lead
Spearheading cross-functional teams of 5+ developers and designers, managing $50K+ project budgets, reducing development time 25% via Agile sprint planning.
Web Developer
Full-stack Django + React platform serving 1,000+ students. Automated workflows reducing admin overhead by 60%.
Business Development Intern
Grew brand engagement 45%, follower base 2,000+ in 6 months through data-driven social media strategy.
Selected Projects
Machine Learning
E-Commerce Recommendation Engine
ML-based product recommendation system for e-commerce clients, increasing average order value by 20% through personalised suggestions.
Data Science
KPI Reporting Dashboards
Python-automated reporting dashboards and real-time BI systems for stakeholders at Candid Apricot. Powered by Pandas, Matplotlib & Seaborn.
Web Scraping / SEO
Job Board Aggregator
BeautifulSoup + Selenium scraper adding 300+ listings to a centralised MySQL database. Achieved 50% faster load times with SEO improvements.
Shopify / E-Commerce
Shopify Catalog Optimisation (200+ SKUs)
SEO-driven product catalog optimisation for 200+ SKUs using data mining and user behaviour analytics — improving discoverability by 35% and reducing bounce rate by 20%.
Technical Arsenal
Languages
- Python (Advanced) · JavaScript (ES6+)
- HTML5 · CSS3 · SQL · R · LaTeX
ML & Data Science
- Scikit-learn · TensorFlow · Pandas
- NumPy · Matplotlib · Seaborn
- EDA · Feature Engineering · A/B Testing
Web Dev
- React.js · Node.js · Django · Flask
- Bootstrap · RESTful APIs · WordPress
- Shopify · MongoDB · MySQL · PostgreSQL
Cloud & Tools
- GCP · AWS Basics · Git/GitHub
- Jupyter · Figma · Postman · VS Code
- Agile · Scrum · RPA · Canva
How I Work
01
Understand Requirements
Deep-dive into client goals through discovery calls, translating complex business needs into clear technical specs.
02
Data-Driven Planning
Leverage analytics and statistical modeling to define KPIs, prioritise features, and structure Agile sprints for 25% faster delivery.
03
Build & Iterate
Full-stack development using Python, Django, React and ML pipelines. Continuous iteration using real user feedback and A/B testing.
04
Optimise for Performance
SEO best practices, 40% improvement in page load speeds, and conversion rate optimisation backed by 95% confidence interval tests.
05
Deliver & Scale
On-time delivery with 100% track record. Post-launch monitoring, automated reporting dashboards, and ongoing support.
Let's Build Something
Open to freelance projects, full-time roles, and collaborations in web development, data science, and project management.