Ambika
B Sajjan
I combine machine learning foundations, recruiter-friendly frontend design, and practical data analytics to build interfaces that look polished and communicate insight clearly.
19
Certifications
03
Core Tracks
UI + Data
Balanced Focus
05
Projects
Product-Oriented Profile
Clean interfaces backed by technical depth
Track
Machine Learning
Focus
Interface Systems
Outcome
Recruiter-ready
A thoughtful builder focused on insight, clarity, and usability.
I enjoy shaping products that make complex ideas feel clear, useful, and polished.
I am a passionate Data Analytics and Machine Learning student with a strong interest in turning raw data into meaningful insights. I enjoy identifying patterns, analyzing trends, and supporting confident decision making.
I have hands-on experience in data cleaning, visualization, and practical model building. Alongside analytics, I also care deeply about Frontend Development, which helps me present insights through clear, responsive, and user-friendly interfaces.
I work with Python, SQL, Tableau, and modern UI tools to connect analytical thinking with presentation quality. My goal is to keep learning while building projects that are both technically sound and visually refined.
Focus
Data + Design
Strength
Clean Systems
Approach
Insight-led interfaces
Mindset
Iterative improvement
Modern technical strengths presented in a cleaner, more product-focused way.
A balanced toolkit across frontend delivery, analytics, machine learning, and collaboration.
Frontend Development
Designing clean, responsive interfaces with modern component-driven workflows.
AI & Machine Learning
Building practical ML foundations with model experimentation and applied tooling.
Data Analytics
Turning datasets into structured insights through analysis, reporting, and visualization.
Tools & Collaboration
Shipping efficiently with version control, workflow discipline, and strong communication.
Academic foundations aligned with analytics, intelligence, and applied computing.
Coursework and academic progress that support both technical depth and practical problem solving.
Focused on Data Analytics, Data Structures & Algorithms, Operating Systems, Python Programming, and Artificial Intelligence. Building a strong foundation in computer science with practical applications in data-driven technologies.
Completed PCMB (Physics, Chemistry, Mathematics, Biology) with a strong emphasis on Mathematics, developing analytical and problem-solving skills that form the foundation for data science and machine learning.
Selected work and practical implementations
A showcase of my hands‑on projects.
Sales Data Analysis
Analyzes supermarket sales data using KPI dashboards, category and segment insights, monthly trends, and top product performance across regions using Power BI and Tableau.
SparkleSweep
Built a full-stack cleaning service application with authentication, service catalog, pricing, and a complete booking system using Next.js, Prisma, and modern UI components.
Big Data Analytics
Developed an end-to-end PySpark pipeline for sales data cleaning, feature engineering, and transformation into ML-ready datasets for trend analysis and business insights.
Ensemble Learning
Developed an ensemble ML pipeline for bank marketing prediction using Random Forest, Gradient Boosting, Stacking, and Voting, with PR-AUC based evaluation for imbalanced classification.
LLM Study Assistant
Developed a privacy-focused AI study assistant using a local LLaMA3 model with a Next.js frontend and Flask backend, enabling real-time chat without relying on cloud APIs.
A compact credential view designed for faster recruiter scanning.
Key certifications are surfaced first, with filters and a clean expansion pattern for the full set.
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Let’s build thoughtful, modern experiences together.
Open to internships, collaborations, and projects across analytics, machine learning, and polished frontend execution.
Best for
Frontend, analytics, and ML-focused opportunities
Preferred contact
Use the form and I’ll respond as soon as possible