QUALITY SYSTEMS ENGINEERING

Hello, I'm

Dhvanan Rangrej

a

Data Analyst with notable success, known for a detail-oriented and analytical approach. Proficient in statistical analysis, data mining, and predictive modeling. Experienced in employing advanced data and analytical techniques to decode crucial findings for strategic business decision-making.

DR
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Empowering Decisions Through Data-Driven Insights

Data Analyst with notable success, known for a detail-oriented and analytical approach, adept at utilizing data-centric insights to propel business enhancements and optimize performance. Demonstrated proficiency in statistical analysis, data mining, and predictive modeling.

Experienced in dissecting and analyzing data to stimulate growth across various sectors. Proven expertise in employing advanced data and predictive modeling, along with analytical techniques to decode crucial data findings and apply them to strategic business decision-making. Possess strong communication skills, capable of elucidating complex analytical concepts to stakeholders at all organizational levels.

Statistical Analysis

Expert in data mining, predictive modeling, and statistical analysis

Risk & Compliance

GRC expertise with COSO framework and quality management systems

QA Automation

Comprehensive testing frameworks with Selenium and CI/CD pipelines

DR

Education & Experience

Education

Jan 2023 - Dec 2024

Master's in Quality Systems Engineering

Concordia University

Montreal, QC, Canada

GPA: 3.26

Jul 2018 - Apr 2022

Bachelor's in Information Technology

NMIMS University

Mumbai, India

GPA: 3.15

Experience

Jun 2022 - Dec 2022

Data Consultant

CybersonicX

Surat, GJ, India

  • Designed research plans for data gathering and analysis
  • Interpreted data analysis and developed action plans for strategic decisions
  • Prepared SOPs and compliance documents supporting audits
May 2021 - Jun 2021

Web & Python Developer Intern

Sahu Technologies

Mumbai, MH, India

  • Developed Python validators and audit trails, reducing data entry errors by 25%
  • Integrated SQL databases into forms for data integrity
  • Supported end-to-end testing with QA teams
Apr 2021 - May 2021

Data Science Intern

The Sparks Foundation

Singapore

  • Built classification models (LogReg, XGBoost) achieving >92% accuracy
  • Engineered data pipelines for preprocessing and feature generation
  • Created visual dashboards to communicate results to stakeholders

Technical Skills

Programming & Data

Python 95%
SQL 95%
Pandas / NumPy 90%
R Programming 75%
PySpark / Databricks 80%
Java 70%

Data Analytics & BI

Power BI / DAX 95%
Tableau 90%
Excel / VBA 90%
SAS Visual Analytics 80%
Looker / Data Studio 75%
SSRS / SSIS 80%

ML & AI

Scikit-learn 90%
TensorFlow / Keras 80%
PyTorch 75%
NLP / Transformers 80%
OpenCV / YOLO 75%
LangChain / RAG 80%

Tools & Cloud

Azure / Azure ML 85%
AWS 70%
Docker / Kubernetes 75%
Selenium / JMeter 85%
Git / Azure DevOps 85%
Snowflake / Redshift 75%

Featured Projects

Data Analytics

Covid-19 Insights Analysis

Power BI dashboard with real-time pandemic analysis, country-level evaluations, and dynamic visualizations using Kaggle dataset.

Power BI MySQL Data Visualization
Machine Learning

Heart Disease Prediction with PCA

AI-driven prediction model using PCA for dimensionality reduction, PyCaret for ML experimentation, and SHAP for interpretability.

Python PyCaret Scikit-Learn
Computer Vision

Image Segmentation with U-Net

Deep learning model for pixel-level image segmentation using U-Net architecture with KMeans preprocessing.

PyTorch U-Net KMeans
Generative AI

Generative AI Copilot Prototype

Enterprise AI assistant for workflow automation using Azure OpenAI, LangChain, and Power Automate integration.

Azure OpenAI LangChain Power Automate
Data Analytics

Risk & Control Dashboard

Power BI dashboard tracking organizational risks and controls using COSO framework metrics for compliance.

Power BI COSO Excel
Machine Learning

Diabetes Prediction

Predictive ML model using SMOTE for class imbalance, comparing Logistic Regression, Random Forest, SVM, and XGBoost.

Scikit-Learn XGBoost SMOTE
QA Automation

Performance Testing for Scalable Apps

Load and stress testing strategies for enterprise apps using JMeter and Docker with Azure Cloud integration.

JMeter Docker Azure
Computer Vision

Object Detection with YOLOv5

Real-time multi-class object detection with transfer learning achieving strong mAP across categories.

YOLOv5 TensorFlow OpenCV
Data Analytics

Targeted Review Analytics

Tableau dashboards for claims and audit data analysis with Python preprocessing for anomaly detection.

Tableau Pandas Excel
Data Analytics

Customer Analysis Report

SAS Visual Analytics project analyzing sales dynamics, customer segmentation, and top buyer identification.

SAS Analytics Data Analysis Statistics
Generative AI

AI Art Generation

AI-powered art generator using VQGAN + CLIP with prompt engineering for creative digital artwork.

PyTorch VQGAN+CLIP Python
Data Analytics

Quality Review Automation Dashboard

Dashboard monitoring claims and audit performance with SQL queries and Excel VBA automation.

Power BI MySQL VBA
Computer Vision

Pneumonia Detection from X-rays

Deep learning pipeline classifying chest X-rays using VGG16 and InceptionV3 with image augmentation.

TensorFlow Keras CNN
Machine Learning

Breast Cancer Classification

Ensemble ML model for diagnosis using UCI dataset with feature importance ranking for interpretability.

XGBoost Random Forest SVM
Machine Learning

Sentiment Analysis Classifier

Text classification pipeline using NLP preprocessing with tokenization, TF-IDF, and Naive Bayes classifier.

NLP Scikit-Learn Python
QA Automation

Digital Solution Testing Framework

QA framework for large-scale environments with Selenium automation and Azure DevOps CI/CD pipelines.

Selenium Azure DevOps CI/CD
Data Analytics

Operational Efficiency Analysis

Business operations analysis identifying inefficiencies with SQL queries and Excel dashboards for KPI monitoring.

SQL Excel SharePoint
Data Analytics

Internal Audit Data Automation

Automation pipeline for internal audit processes with SQL, Python, and Power BI for compliance monitoring.

Python MySQL Power BI
Computer Vision

Number Plate Detection

Real-time license plate detection using TensorFlow with OCR integration for text extraction.

TensorFlow OCR Object Detection
Data Analytics

Marketing Funnel Analytics Dashboard

Power BI dashboard tracking multi-channel funnel performance with SQL and DAX for automated reporting.

Power BI DAX SQL
Data Analytics

Client Data Integrity Dashboard

Data integrity validation framework with SQL reconciliation and Power BI KPI tracking for client reporting.

SQL Power BI Excel
Machine Learning

Sneaker Resale Forecasting

Predictive pipeline forecasting resale prices using StockX data with LightGBM and XGBoost models.

LightGBM XGBoost API Integration
Machine Learning

Multiple Disease Prediction System

Integrated ML models for heart disease, cancer, and diabetes prediction achieving 95%+ accuracy with Flask web interface.

Flask Machine Learning Data Visualization

Let's Build Something Amazing Together

Have a project in mind or want to discuss data-driven solutions? I'd love to hear from you. Let's connect and explore how we can work together.