Available for Opportunities

Hi, I'm Eliya Abbas Sayyed

Software Engineer|

Building intelligent, data-driven software solutions with modern full-stack technologies & AI.

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Eliya Abbas

About Me

I'm Eliya Abbas Sayyed, a Software Engineer and Data Analyst currently working as a Full Stack Developer at Innoviscent LPP. I specialize in building modern web applications and extracting actionable insights from data using Python, SQL, and BI tools.

With a strong foundation in AI/ML from Mumbai University and hands-on experience across the full stack — from React frontends to Node.js backends and databases like MongoDB, PostgreSQL, and MySQL — I bridge the gap between data analytics and software engineering.

I'm passionate about vibe coding with AI tools, leveraging GPT Codex, Claude Code, and Gemini CLI to accelerate development while maintaining clean, production-grade code.

Current Role

Full Stack Developer @ Innoviscent LPP

Location

Mumbai, India

Education

B.E CSE (AI & ML) — Mumbai University

Focus Areas

Full Stack, Data Analytics, GenAI & ML

Experience

Professional journey and internships that shaped my career.

April 2025 — Present

Full Stack Developer

Innoviscent LPP

Building and maintaining full-stack web applications using React.js, Node.js, and MongoDB. Contributing to product development, API design, and frontend architecture for client-facing platforms.

2024 — Data Science Internship

Data Science Intern

SkyBricks

Worked on machine learning projects including movie recommendation systems, data analysis pipelines, and predictive models using Python, Scikit-learn, and Pandas.

June 2023 — CodSoft Internship

Data Science Intern

CodSoft

Completed data science tasks including Titanic survival prediction, contact book applications, and classification models using Python, Jupyter Notebooks, and ML libraries.

Technical Skills

Technologies and tools I work with to build, analyze, and deploy.

Languages & Core

Python JavaScript SQL MySQL HTML / CSS

Frontend & Backend

React.js Node.js REST APIs Postman

Databases & Cloud

MongoDB PostgreSQL Supabase Vercel Render

Data & Analytics

Excel Power BI Tableau CTEs & Joins

AI & Dev Tools

GenAI GPT Codex Claude Code Gemini CLI Antigravity Vibe Coding

DevOps & Tools

Git Docker CLI GitHub Actions

Featured Projects

A curated selection of projects showcasing my technical breadth.

DeFi Credit Scoring Model

ML pipeline assigning 0–1000 credit scores to Aave V2 wallets using unsupervised KMeans clustering on raw DeFi transaction data.

PythonScikit-learnKMeansPandasDeFi

Live Restaurant Menu Platform

QR-based digital restaurant menu system with authentication, admin dashboard, and real-time menu management.

JavaScriptNode.jsMongoDBREST API

Movie Recommender System

Content-based recommendation engine built during SkyBricks internship, using collaborative filtering and NLP-based feature extraction.

PythonScikit-learnNLPJupyter

Business Intelligence Dashboards

Analytical dashboards and BI projects built with Excel, Power BI, and Python for data-driven decision making.

Power BIExcelPythonSQL

Risk Scoring Model

Statistical risk assessment model using Python for scoring and evaluating financial/behavioral risk factors.

PythonPandasStatisticsJupyter

Employee Attrition Predictor

Predictive ML model to identify employees at risk of attrition using classification algorithms and HR data analysis.

PythonMLClassificationPandas

Titanic Survival Prediction

Classic ML classification project predicting passenger survival using feature engineering and supervised learning.

PythonScikit-learnEDAClassification

Tableau Dashboards

Interactive business intelligence dashboards and data stories built using Tableau Public.

IBM HR Analytics

145

Comprehensive HR dashboard analyzing employee attrition, satisfaction, and demographic trends.

Customer Trial Data

35

Analytical report on customer trial conversions and behavioral patterns.

Amazon Prime OTT Dashboard

32

Content analysis and viewership trends for Amazon Prime Video.

Netflix Analysis

30

Deep dive into Netflix content distribution and genre trends.

NetFlix OTT Tableau

32

Comparative analysis of OTT content metrics using Tableau.

Education

2020 — 2024

Bachelor of Engineering — CSE (AI & ML)

M.H. Saboo Siddik College of Engineering

Mumbai University — Specialized in Artificial Intelligence and Machine Learning

CGPA: 7.75
2016 — 2019

Polytechnic Diploma — Computer Science

Sri Sathya Sai College of Technology & Medical Science

Foundation in computer science fundamentals, programming, and system design

CGPA: 7.12

Get in Touch

Have a project idea or want to collaborate? Feel free to reach out.