// DATA SCIENTIST · DATA ANALYST · CS ENGINEER

Mohammed
Maaz.

Data Science · Data Analytics · AI

CS Engineer bridging data science and data analytics — from dashboards and KPI reporting to NLP models and predictive systems. Turning raw data into decisions that actually matter.

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About

I'm a Computer Science Engineer from Mysore, India — completing my B.E. at MIT Mysore while gaining real-world experience in data analytics and data science across India and the UAE.

I work across the full data spectrum: from exploratory analysis, dashboards, and KPI reporting on the analytics side, to NLP modelling, sentiment analysis, and predictive systems on the data science side. I believe the two disciplines are stronger together.

I've delivered across real estate operations in Dubai and analytics training in Mysore — building Power BI dashboards, AI-driven investment tools, and ML-powered applications — and was awarded Best Project of the Year for TradeNexus AI.

LOCATIONMysore, India

EMAILmhd.maaz01@gmail.com

PHONE+91 96637 65252

LINKEDINlinkedin.com/in/mhdmaaz

// EDUCATION

Bachelor of Engineering

Computer Science & Engineering

MIT Mysore

2022 — 2026

Experience

JAN 2026 —
PRESENT

CURRENT ROLE

Junior Data Scientist

QSpiders · Mysore, India

Data cleaning, transformation & analysis using Python (Pandas, NumPy, Matplotlib)
Developed and deployed Machine Learning models using Python to perform predictive analytics and trend forecasting
SQL queries for structured data extraction and validation across business datasets
Built intelligent Power BI dashboards that integrate predictive insights and Machine Learning outputs for executive decisionmaking
Conducted Exploratory Data Analysis (EDA) and statistical hypothesis testing to identify underlying patterns in large datasets.
Applied Advanced Excel for financial modelling, KPI tracking, and executive reporting

NOV 2024 —
PRESENT

CURRENT ROLE

IT Associate & Software Developer

Majestic Skyline Real Estate · Dubai, UAE

Analysed operational datasets to develop dashboards for workflow and inventory tracking
Improved system efficiency through data-driven database and process optimisation
Collaborated cross-functionally to align technical solutions with business operations
Built structured reporting systems for cost tracking and compliance monitoring
Handled data operations across real estate portals (Dubizzle, Bayut, Property Finder), tracking listing metrics and supporting data-driven decisions on inventory and pricing
Developed the company website using HTML, CSS, and JavaScript, integrating lead capture forms, a property listings database, and Google Analytics for tracking user behaviour and conversion metrics

Projects

TradeNexus AI — AI that Thinks Finance

★ Best Project of The Year

AI-driven investment platform built on an NLP pipeline for financial sentiment analysis — classifying market signals from text data to automate portfolio insights and support predictive decision-making.

PythonFlaskNode.jsNLP

OCR Web Application

Multilingual OCR system using deep learning-based text recognition (EasyOCR) achieving 90% accuracy, with integrated language translation and a persistent SQLite backend for structured data storage.

FlaskEasyOCRSQLitePython

VoyageVerve — AI Travel Planner

Data-driven travel planning system that processes user preferences and real-time API data to generate personalised itineraries — combining automation workflows with a recommendation engine for dynamic outputs.

PythonAPIsAutomationAI

MohammedMaaz.

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Mohammed
Maaz.