Data & Analytics Engineer

Turning raw data into AI applications, analyst insights, SQL databases, predictive models, clean datasets, and AI workflows

Data & Analytics Engineer with 3 years of enterprise experience at Amazon validating large-scale ML datasets with 98%+ accuracy, authoring SQL & Python validation scripts, and engineering predictive models and deployed AI applications.

View projects Resume

3+: Years enterprise
98%+: Data accuracy
5: Deployed projects

Open to Remote & Hybrid Data Roles

const engineer = {
  role: "Data & Analytics Engineer",
  experience: "3+ Years at Amazon",
  coreStack: ["SQL", "Python", "Power BI", "Scikit-learn"],
  impact: "98%+ data accuracy · +16% team efficiency"
};

SQL Python Pandas Scikit-learn Power BI PostgreSQL MySQL MongoDB Atlas Streamlit Node.js Data Pipelines

01 / role fit

Role Fit & Focus

Targeting Data & Analytics Engineering, Data Analysis, and Database / SQL Development roles. Combining rigorous enterprise data validation and SQL/Python scripting at Amazon with predictive modeling and full-stack AI application development.

Target roles

Data & Analytics Engineer Data Analyst Database / SQL Developer Applied AI Developer

01
Enterprise ML Data Quality & Pipeline Rigor: Validated large-scale multimodal datasets (text, image, audio, video) at Amazon with 98%+ accuracy, exceeding productivity targets up to 240%. Authored SQL queries and Python operational scripts to detect anomalies and guarantee high-integrity inputs for model training.
02
Predictive Modeling & Analytics: Conducted exploratory data analysis, correlation diagnostics, and careful feature engineering. Trained Random Forest regression models benchmarked against baseline algorithms and deployed interactive Streamlit inference applications.
03
Database Systems & Backend Engineering: Engineered normalized relational schemas (PostgreSQL, MySQL) and optimized NoSQL data layers (MongoDB Atlas, Firebase Firestore) with cached serverless connection utilities and secure REST APIs.

Summary & Target Locations

Basith AbuSyed

Based in Madurai, Tamil Nadu, India · Prioritizing Remote & Hybrid opportunities (Madurai, Coimbatore, Chennai).

CurrentML Data Associate II · Amazon
Open toRemote & Hybrid Data Roles
Inboxbas.abu0802@gmail.com

Open resume (PDF)

02 / projects

Featured Projects

Live production builds and machine learning applications covering predictive analytics, full-stack AI integrations, and serverless backend services.

abot-eta.vercel.app

Live · Vercel

Full-Stack AI Application · Jul 2025 – Aug 2025

ABot — Multi-Provider AI Chat

Architected a full-stack AI application with a Node.js/Express backend proxy that routes requests across four distinct AI providers, deployed via CI/CD. Designed a Firestore data model with guest-to-registered user migration that preserves complete chat history upon sign-up.

Node.js Express.js Firebase Firestore Firebase Auth CI/CD

Live site

price-trail-ruddy.vercel.app

Live · Next.js

PriceTrail Amazon price tracker application screenshot

Full-Stack Next.js App · Dec 2025 – Jan 2026

PriceTrail — Smart Amazon Price Tracker

Engineered an automated price-tracking application using Next.js 14 App Router, MongoDB Atlas, and Vercel Cron. Features automated periodic scraping with Cheerio, instant price-drop email alerts via Nodemailer, and Google OAuth 2.0 authentication.

Next.js 14 MongoDB Atlas Cheerio Web Scraping Vercel Cron Google OAuth

Live site GitHub repo

linkly-link.vercel.app

Live · Serverless

Database & Serverless Service · Aug 2025

Linkly — Serverless URL Shortener

Designed a MongoDB Atlas schema and an on-demand cached connection pooling utility to drastically eliminate query latency in serverless runtimes. Engineered REST API endpoints for secure URL creation, redirect handling, and user analytics with Firebase Auth.

MongoDB Atlas Mongoose Vercel Functions Node.js Firebase Auth

Live site GitHub repo

house-price-prediction.streamlit.app

Live · Streamlit

House Price Prediction ML dashboard screenshot

Machine Learning & Data Analysis · MCA Thesis 2023

House Price Prediction — ML & Analytics

Final Year MCA project at The American College. Analyzed 13,320 Bangalore housing records, engineered custom units and outlier filtering (src/encoding.py), and benchmarked Linear & Ridge models (R² = 0.644) against Random Forest (R² = 0.787). Deployed as an interactive 4-page Streamlit app with containerized FastAPI & Docker.

Python Pandas Scikit-learn Streamlit FastAPI Docker

Live site GitHub repo

Instant estimator Simplified model —

Area 1,200 sq ft

Bedrooms

Location tier

Amenities

—

Simplified in-browser estimate (±4.2%). The full Random Forest model runs in the Streamlit app.

ecom-seven-sand.vercel.app

Live · Marketplace

Digital Marketplace · Vue.js 3 & Vite

N-Gelo — Digital Marketplace

Designed a responsive shopping experience with Vue.js 3, Vite, and reactive state management. Features modular component architecture, a reactive shopping cart with live pricing, and clean data flows for digital marketplaces.

Vue.js 3 Vite JavaScript CSS3 / Flexbox State Management

Live site GitHub repo

github.com/abustark/cover_letter_gen

Private

AI Document Generator · React & TypeScript

CoverCraft — AI Cover Letter Builder

An AI-powered cover letter builder engineered with React, TypeScript, and OpenRouter AI. Features Google OAuth authentication, server-side URL job fetching to bypass CORS, and automated context alignment between resume qualifications and job specifications.

React TypeScript OpenRouter AI Vercel Serverless Google OAuth

GitHub repo

03 / skills

Technical Capabilities

Core technical competencies across enterprise data analysis, database systems, predictive machine learning, and applied AI development.

01 / Analytics

Data Analysis & SQL Querying

Structured Querying & Business Intelligence

Extracting operational insights from large-scale multi-modal data, authoring optimized relational queries (MySQL & PostgreSQL), building automated Python data pipelines, and delivering executive dashboards via Power BI and MS Excel.

SQL (MySQL & Postgres) Python Pandas Power BI MS Excel Feature Engineering ETL Pipelines

02 / Modeling

Predictive ML & Modeling

Supervised Learning & Benchmarking

End-to-end predictive modeling workflows: exploratory data analysis, data transformations, Random Forest and regression baseline benchmarking, and real-time interactive deployment on Streamlit.

Scikit-learn Pandas NumPy Random Forest Regression Baselines Jupyter Notebooks Streamlit Model Evaluation

03 / Databases

Database Architecture & Backend Systems

Relational Schemas & Serverless Caching

Designing normalized relational schemas and high-throughput document stores, engineering cached connection utilities in MongoDB Atlas to eliminate serverless query latency, and building secure REST APIs.

PostgreSQL MySQL MongoDB Atlas Firebase Firestore Schema Design Node.js & Express REST APIs Vercel Functions

04 / Enterprise Rigor

ML Data Operations & Pipeline Rigor

Amazon Enterprise Experience · 98%+ Accuracy

Auditing enterprise multimodal training datasets (text, image, audio, video) at Amazon, authoring SQL & Python verification scripts, diagnosing throughput bottlenecks, and proposing workflow UX improvements that boosted team efficiency by 16%.

98%+ Data Accuracy Dataset Reliability Multimodal ML Datasets SQL & Python Scripts Throughput Escalation +16% Team Efficiency

04 / experience

Experience & Education

Enterprise data quality evaluation at Amazon and Master's degree in Computer Applications.

Aug 2023 — Present

ML Data Associate II · Amazon

Chennai, Tamil Nadu, India

Maintained 98%+ data accuracy and integrity across large-scale multimodal ML datasets (text, image, audio, video) while exceeding productivity targets, reaching up to 240% of monthly goals. Authored SQL queries and operational Python scripts to validate data records, correct inconsistencies, and strengthen input quality for downstream model training pipelines. Evaluated internal tools via structured test workflows, delivering UI/UX enhancements that drove a 16% increase in team efficiency, and escalated critical throughput bottlenecks to technical engineering teams for rapid resolution.
2021 — 2023

Master of Computer Applications (MCA)

The American College · Madurai, Tamil Nadu, India

Specialized in Advanced Database Management Systems, Machine Learning, Cloud Architectures, and Object-Oriented Software Design.
2018 — 2021

Bachelor of Computer Applications (BCA)

Thiagarajar College · Madurai, Tamil Nadu, India

Foundations in Core Computer Science, Relational Database Normalization, Data Structures & Algorithms, and Web Development.

05 / contact

Get In Touch

Open to Data & Analytics Engineer, Data Analyst, Database / SQL Developer, and Applied AI roles — prioritizing Remote and Hybrid opportunities (Madurai, Coimbatore, Chennai). Feel free to connect directly via email or LinkedIn.

LinkedIn GitHub

Turning raw data into AI applications, analyst insights, SQL databases, predictive models, clean datasets, and AI workflows