Shahista Tamkeen

About Me

I am an AI Application Developer and Full Stack Developer with experience building AI-driven business applications, automation workflows, and intelligent systems that integrate seamlessly across enterprise environments.
I specialize in developing scalable backend services and RESTful APIs using Python, C#, and .NET, along with modern frontend technologies to create robust, production-ready applications.
I have designed and deployed ETL pipelines and data integration systems handling millions of records, improving system performance, data reliability, and workflow efficiency across enterprise platforms.
Through Power Apps, Power Automate, and AI-based automation, I have reduced manual processes by up to 50%, enabling smarter, faster, and more efficient operations.
With hands-on experience in Microsoft Azure, cloud architectures, and secure system design, I focus on building scalable, secure, and high-performance solutions that deliver real business impact.

35%

Manual Reduction

50%

Faster Reporting

5M+

Records Weekly

3.9

GPA

Technical Skills

Java

Python

JavaScript

React

PyTorch

HTML

CSS

Git

MySQL

AWS

VS Code

C++

OpenCV

.NET

PROGRAMMING & SOFTWARE ENGINEERING

Python
Java
JavaScript
SQL
HTML5 / CSS3
Object-Oriented Programming (OOP)
Data Structures & Algorithms
RESTful APIs
API Integration
SDLC
C#
.NET

FRAMEWORKS & LIBRARIES

React.js
Node.js
Express.js
Tailwind CSS
Bootstrap
Pandas
NumPy
Matplotlib
Scikit-Learn
ASP.NET

CLOUD & INFRASTRUCTURE

AWS (Core Services)
Cloud Architecture Fundamentals
CI/CD Concepts
Git & Version Control
Linux Environment
System Integration
Automation Workflows

DATA ENGINEERING & ANALYTICS

Data Analytics
ETL Pipelines
Data Cleaning & Transformation
Pandas & NumPy
Power BI
Advanced Excel
Data Visualization
Business Intelligence
Statistical Analysis

TOOLS & PROFESSIONAL PRACTICES

Postman
Jupyter Notebook
VS Code
Agile / Scrum
Requirement Analysis
Technical Documentation
Performance Optimization
Google Collab

MICROSOFT POWER PLATFORM

Power Apps
Power Automate
Dataverse
Workflow Automation
Business Process Optimization

Experience

Graduate Assistant

Elmhurst University – Computer Science & Information Systems Feb 2024 – Present

Automated advanced ETL workflows using Python and SQL, reducing manual processing time by 35% and improving enterprise data reliability.
Designed and implemented Master Data Management (MDM) practices, including QA validation checks, data governance rules, and standardized models to eliminate inconsistencies.
Engineered scalable pipelines handling multi-million-row datasets, ensuring traceability, compliance, and analytics readiness.
Managed and supervised multiple student project sections in C++ and Java, reviewing architecture, debugging code, validating outputs, and grading assignments.
Executed detailed debugging, test case validation, performance optimization, and generated final output documentation for submission to professors.
Developed automation prototypes and LLM-based tools using OpenAI APIs to improve reporting workflows and internal efficiency.
Collaborated closely with faculty, IT staff, and administrative stakeholders to translate academic requirements into technical implementations.
Supported IT operations including system provisioning, infrastructure troubleshooting, and application debugging.

Python SQL C++ Java OpenAI APIs ETL MDM Data Governance

Data Analyst

Optum – Hyderabad, India Dec 2023 – Jul 2024

Built and optimized enterprise-scale ETL pipelines using Python and SQL, processing 5+ million records weekly for reporting and analytics.
Implemented automated data quality validation frameworks, reducing inconsistencies by 40% and increasing stakeholder trust.
Performed Exploratory Data Analysis (EDA), statistical modeling, and A/B testing to support data-driven decisions.
Developed executive dashboards using Power BI and Tableau, visualizing operational KPIs and customer performance metrics.
Collaborated with cross-functional teams including product managers, business analysts, engineers, and operations teams to gather requirements and align analytical outputs with business objectives.
Led requirement discussions, clarified data definitions, and ensured seamless communication between technical and non-technical stakeholders.
Automated preprocessing workflows, reducing dashboard refresh times by 50% and accelerating reporting cycles.
Optimized SQL queries and indexing strategies to improve performance and reduce database latency.

Python SQL Power BI Tableau Pandas NumPy ETL A/B Testing Data Modeling

🚀 Projects

A collection of research-driven AI and Data Engineering projects integrating machine learning, deep learning, and real-world analytics.

Capstone in Progress

🔐 AI Powered Cloud Monitoring & Security Platform

AI-powered cloud monitoring and security platform built on Microsoft Azure, delivering real-time system metrics, anomaly detection, and intelligent alerting. Integrates FastAPI services, secure multi-tier infrastructure, and OpenAI-based analysis to provide actionable insights and improve system reliability.

AI Cloud Security Monitoring Python Capstone

GitHub

IN PROGRESS

🧊 3D Point Cloud QA System

Built an AI-powered 3D point cloud analysis system for construction quality assurance. The platform enables deviation detection, ICP-based alignment validation, defect classification, and interactive measurement within a real-time 3D environment. Designed to compare as-built scans with reference models and generate actionable insights for inspection workflows.

React Three.js FastAPI Open3D Python 3D Visualization AI Computer Vision

GitHub Live Demo

In Progress

📋 Job Tracker

Created a job application tracking system to organize opportunities, manage application stages, and simplify follow-ups with a clean, productivity-focused workflow.

JavaScript React Node.js Tracking Productivity

GitHub

COMPLETED

🏗️ Construction RFI Management App

A Power Apps–based application designed to streamline the management of RFIs (Requests for Information) in construction projects. It enables users to submit RFIs, allows admins to approve or reject requests with comments, and provides real-time status tracking along with advanced filtering and a complete history dashboard. Built using Microsoft Power Platform (Power Apps, Power Automate, Dataverse) to replace manual processes and improve team efficiency.

Power Apps Power Automate Dataverse Microsoft Power Platform Workflow Automation

🏥 Patient Readmission Dashboard

Designed a healthcare analytics dashboard to explore readmission trends, review model performance, and highlight high-risk patient insights for data-driven clinical decision support.

Healthcare Analytics Dashboard Machine Learning Python Visualization

GitHub Live Demo

🌐 Personal Portfolio Website

Built and designed a responsive personal portfolio website to showcase projects, technical skills, experience, certifications, and research in a modern interactive format.

HTML CSS JavaScript Responsive Design GitHub

GitHub Live Demo

🛍️ E-Commerce Website — MOH BY AMIKSHA

Developed a full-stack e-commerce platform for MOH BY AMIKSHA, a handcrafted women's clothing brand. Built a dynamic, responsive storefront featuring product collections, made-to-order customization, and a seamless shopping experience. Implemented RESTful APIs for product management, user authentication, and order processing, backed by a relational database.

React Python PostgreSQL REST API Full Stack

GitHub

🏦 Banking Customer Risk & Loan Analysis

Built a loan risk analysis dashboard to evaluate customer segments, compare income and loan patterns, and support better lending decisions through clear, interactive business intelligence visuals.

Power BI Data Analytics Risk Analysis SQL Dashboarding

GitHub Live Demo

🧠 Brain Age Prediction

Developed a deep learning model to predict biological brain age using MRI imaging datasets. Implemented preprocessing pipelines, feature scaling, and neural network architectures to analyze neurological aging patterns. Conducted statistical validation and performance benchmarking.

Python TensorFlow NumPy Deep Learning Data Preprocessing

GitHub

📝 Natural Language Processing System

Designed and implemented an NLP pipeline for sentiment analysis and text classification. Built vectorization workflows, applied machine learning models, and optimized model performance using cross-validation and hyperparameter tuning techniques.

Python Scikit-Learn Pandas NLP Machine Learning

🫁 Pneumonia Detection Using CNN

Built a convolutional neural network model for pneumonia detection using chest X-ray images. Implemented image preprocessing, augmentation, and classification pipelines to improve accuracy and generalization. Evaluated performance using confusion matrix and ROC analysis.

Python Keras CNN Computer Vision Medical Imaging

🎓Education

Elmhurst University

Master's in Computer Science & Information Technology

🎓

Aug 2024 – Aug 2026

GPA: 3.9/4

Relevant Coursework: Relevant Coursework: Coursework focused on advanced Python programming, data structures and algorithms, database systems and query optimization, data warehousing and ETL architecture, distributed systems, cloud computing (AWS architecture), software engineering and design patterns, big data processing (PySpark), machine learning systems, and API development. This curriculum strengthened my ability to design scalable, production-ready systems and build reliable data-driven applications.

Advanced Database Systems Machine Learning Big Data Analytics Cloud Computing Data Governance

Mahatma Gandhi Institute of Technology

Bachelor’s in Information Technology

🏛

Aug 2020 – Aug 2024

GPA: 7.5/10

Relevant Coursework: Relevant Coursework: Completed foundational coursework in object-oriented programming (Java/C++), operating systems, computer networks, database management systems, software engineering, data structures, web technologies, and artificial intelligence. This academic foundation built strong problem-solving skills, system-level understanding, and core software engineering principles.

C Programming Java Data Structures Algorithms Operating Systems Computer Networks

Resume

AI Enthusiast, IT & Data Analyst

📍 Chicago, IL

📧 shahistatamkeen1@gmail.com

🎓Education

MS in Computer Science
Elmhurst University (Expected 2026)

B.Tech in Information Technology
Graduated 2024

🏆Accomplishments

📜Published Research Work
🧑‍🏫Graduate Assitant
🌟Dance Club Head and choreograpghy head – It Department

Projects & Experience

AI for Brain Age
Built a scalable deep learning pipeline for predictive brain age modeling.
Natural Language Processing using NLP
Developed an NLP-based sentiment analysis system for multilingual data.
Pneumonia Detection
Engineered a CNN-based diagnostic model achieving 97.89% accuracy.
Portfolio Website
Interactive personal website using HTML, CSS & JS.

Key Skills

Python SQL TensorFlow Power BI Azure Google Cloud Machine Learning ETL Java HTML CSS

Download Resume

Hi, I'm Shahista Tamkeen

Connect

About Me

35%

50%

5M+

3.9

Technical Skills

PROGRAMMING & SOFTWARE ENGINEERING

FRAMEWORKS & LIBRARIES

CLOUD & INFRASTRUCTURE

DATA ENGINEERING & ANALYTICS

TOOLS & PROFESSIONAL PRACTICES

MICROSOFT POWER PLATFORM

Experience

Graduate Assistant

Data Analyst

🚀 Projects

🔐 AI Powered Cloud Monitoring & Security Platform

🧊 3D Point Cloud QA System

📋 Job Tracker

🏗️ Construction RFI Management App

🏥 Patient Readmission Dashboard

🌐 Personal Portfolio Website

🛍️ E-Commerce Website — MOH BY AMIKSHA

🏦 Banking Customer Risk & Loan Analysis

🧠 Brain Age Prediction

📝 Natural Language Processing System

🫁 Pneumonia Detection Using CNN

📚Publications

AI-Based Brain Age Prediction

LinkedIn Timeline

🏅Certifications

Google Cloud Certification

Microsoft Azure Fundamentals

AI & Data Science Certification

Java Programming

C Programming (CLA)

International Journal Publication

🎓Education

Elmhurst University

Mahatma Gandhi Institute of Technology

Resume