I turn raw data into actionable insights and build data-driven applications.
MS Computer Science · Pace University, New York.
Zeeya Ramani.
proof_of_work.json
30%
ISRO accuracy
boost
boost
10K+
daily e-commerce
users
users
10K+
app
downloads
downloads
3.97/4
MS
GPA
GPA
PythonReactJSXGBoostFlutterFirebaseMySQLGCPPower BIRDockerPandasSklearnNodeJSSocket.IOAWSTailwind CSSJenkinsMatplotlibNumPyDart
PythonReactJSXGBoostFlutterFirebaseMySQLGCPPower BIRDockerPandasSklearnNodeJSSocket.IOAWSTailwind CSSJenkinsMatplotlibNumPyDart
Deep LearningData AnalysisML EngineeringFull-Stack DevMobile AppsSatellite ImageryTime-Series AnalysisREST APIsCI/CD PipelinesAgile DevelopmentData VisualisationCloud ComputingEnsemble MLCross-Platform Dev
Deep LearningData AnalysisML EngineeringFull-Stack DevMobile AppsSatellite ImageryTime-Series AnalysisREST APIsCI/CD PipelinesAgile DevelopmentData VisualisationCloud ComputingEnsemble MLCross-Platform Dev
About
Who I am
and what drives me.
Data Analyst · ML Engineer
3+
Internships
10K+
Users reached
3.97
MS GPA / 4.0
"I turn raw data into decisions that matter."
CS grad at Pace University (May 2026), specialising in Data Analysis & ML. My journey spans AI research at ISRO's Space Applications Centre, full-stack e-commerce development, and building ML-powered systems from the ground up.
I thrive where data meets product — satellite imagery, retail KPI dashboards, or real-time routing engines.
Mission
tap to read →
Turn complex, messy data into clear decisions — and build the products that act on them.
Vision
tap to read →
Build data-driven systems that reach real people at scale — from satellite-scale insight to everyday apps.
Skills
The stack behind
the work.
Languages
Python
Java
C++
Dart
R
Web Development
ReactJS
JavaScript
HTML / CSS
Tailwind CSS
Bootstrap
NodeJS
Data & ML
XGBoost
Pandas
NumPy
Sklearn
Matplotlib
Seaborn
Plotly
ggplot2
Databases
Firebase
MySQL
Tools & Platforms
Power BI
GCP
AWS
Docker
Jenkins
Socket.IO
Frameworks
Flutter
ReactJS (Vite)
R Shiny
REST API
Experience
Where I have shipped
something real.
Data Analyst / AI & ML Intern (R & D)
ISRO — Space Applications Centre · Ahmedabad, India
Prepared crop classification modules with Time Series C-Band EOS-04 data in R, improving crop area prediction accuracy by 30% for better agricultural planning.
Applied innovative analytical strategies, accomplishing a 25% enhancement in the reliability of crop classification algorithms for focused zones.
Created confusion matrices for both testing and training datasets, leading to a 25% improvement in model accuracy assessment.
Full Stack Web Developer Intern
TechieButler · Bangalore, India
Developed a responsive e-commerce web application using ReactJS, Vite, and Tailwind CSS, achieving a 25% increase in user engagement and a 30% reduction in page load time.
Integrated Razorpay for secure payment processing, handling over 500 transactions monthly and improving transaction efficiency by 40%.
Built a scalable backend with Firebase, managing data for 1,000+ products and supporting up to 10,000 daily users, ensuring seamless operational performance.
Full Stack PHP & MySQL Intern
SparksToIdea · Ahmedabad, India
Developed a full-featured travel booking website using PHP and MySQL, implementing destination search, itinerary management, and booking workflows that handled 500+ bookings monthly.
Built a normalized MySQL backend with dynamic PHP queries for trip listings, user accounts, and reservations, reducing page load time by 30% through optimised queries and caching.
Integrated secure user authentication and a payment gateway into the PHP application, processing online transactions reliably and improving checkout completion by 25%.
Projects
From idea
to impact.
01
NotifyEngine
Capstone · 2026ML-powered adaptive notification router for Pace University's CS 691 Capstone. XGBoost model intelligently selects the optimal channel — push, email, or SMS — based on each user's behaviour and engagement history.
99 story pts · 0 carry-overs · 3 sprints
XGBoostReactPythonREST API
Trained XGBoost on user engagement data with recency, frequency, device type, and time-of-day signals as features.
React dashboard with real-time routing analytics, channel performance metrics, and user segmentation views.
RESTful Python API connecting the ML inference engine to frontend with sub-100ms latency.
Delivered 99 story points across 3 Agile sprints with zero carry-overs as Developer & Data Analyst, Team Algo-Rhythms.
02
ISRO Crop Classification
Research · 2024Satellite-based crop type classification at ISRO's Space Applications Centre using Time Series C-Band EOS-04 SAR imagery. Generated district-level predictive maps for national agricultural monitoring.
30% accuracy ↑ · 25% reliability ↑ · District maps
RTime-SeriesEOS-04 SAREnsemble ML
Multi-temporal C-Band SAR backscatter signatures processed to extract crop growth patterns across Kharif and Rabi seasons.
Random Forests and SVMs in R to classify 6+ crop types, evaluated with confusion matrices and kappa statistics.
30% accuracy improvement and 25% reliability boost over the project's baseline model.
District-level predictive maps used for agricultural planning and food security policy decisions.
03
StarBus
Hackathon · 2022 Finalist — Azadi Ka Mahotsav, CHARUSAT
Real-time public transportation tracking app covering 50+ routes with live GPS, accurate ETAs, and intelligent route suggestions. 1K+ daily active users.
1K+ daily users · 35% planning efficiency ↑
FlutterDartNodeJSGCPSocket.IO
Cross-platform Flutter app with live bus positions updating every 3 seconds via Socket.IO WebSockets.
NodeJS backend on GCP handling 1,000+ concurrent daily connections.
Route-planning algorithm reducing average trip-planning time by 35%.
50+ routes with dynamic ETAs, stop notifications, and offline timetable fallback.
04
Bhagavad Gita App
Mobile · 2023Multi-language spiritual reference app for Android and iOS with 4 language support, bookmarks, chapter navigation, and full offline access.
10,000+ downloads · 4 languages · Android + iOS
FlutterFirebaseAWSJenkins
Single Flutter codebase for Android + iOS supporting English, Hindi, Gujarati, and Sanskrit.
Firebase for real-time sync, auth, and cloud storage of bookmarks and reading progress.
AWS S3 + CloudFront CDN for fast global delivery of media assets.
Jenkins CI/CD pipeline for automated dual-store deployment; 10,000+ downloads.
Certifications
Always
levelling up.
Fundamentals of Deep Learning
NVIDIA · Apr 2026
Break the Pattern with AI — IWD 2026
Pace AI Lab · Women Techmakers · GDG
Google Cloud Career Practitioner
Google Cloud
Data Visualization Using Python
Great Learning
Blockchain Foundation
Kerala Blockchain Academy
Achievements
Achievements
& recognition.
A snapshot of the work, study, and competitions that got me here.
0+
INTERNSHIPS
0+
CERTIFICATIONS
0
PROJECTS
0K+
USERS REACHED
Competition
Hackathon Finalist
Azadi Ka Mahotsav Hackathon · CHARUSAT University
Oct 2022
Academic
MS CS · 3.97 / 4.0
Pace University · Seidenberg School of Computer Science
May 2026
Academic
B.Tech · 9.57 / 10
Charusat University · DEPSTAR
May 2024
Education
Where I studied
and what I earned.
MS in Computer Science
Pace University · Seidenberg School
| Location | New York, NY, USA |
| Duration | 2024 — May 2026 |
| Mode | Full-time |
| GPA | 3.97 / 4.0 |
- Specialised in Data Analysis; coursework in machine learning, data mining, and analytics.
- Capstone: NotifyEngine, an ML-powered adaptive notification routing system.
- Graduated at the top of the class from the Seidenberg School of Computer Science.
B.Tech in Information Technology
Charusat University · DEPSTAR
| Location | Anand, Gujarat, India |
| Duration | 2020 — May 2024 |
| Mode | Full-time |
| GPA | 9.57 / 10.0 |
- Strong foundation in programming, databases, and web development.
- Built StarBus (hackathon finalist) and the Bhagavad Gita app during this period.
- Completed the ISRO research internship in the final year of study.
Contact
Let's work together
on something great.
Open to opportunities
Let's connect
Open to Data Analyst, ML Engineer, and SWE roles. The fastest way to reach me is email — I typically respond within 24 hours.
Send an email