Ansa Baby

I'm Full-Stack Software Developer

About

Welcome to my portfolio!

I am a seasoned Lead Full Stack Engineer, Software Architect, and Research Machine Learning Engineer with eight years of experience delivering scalable and innovative solutions. Proficient in technologies like C#, Python, SQL,.NET Core and Data science, I specialize in developing robust applications, automating complex workflows, and leveraging machine learning to drive data-driven insights. My work spans diverse domains, including cloud computing, predictive analytics, and enterprise automation. As a Google Women Tech Makers Ambassador, I am passionate about promoting diversity and mentoring the next generation of technologists.

Lead Full Stack Software Developer & Machine-Learning Engineer.

  • Birthday: 8 August 1994
  • Nationality: India
  • Residence Status: Manchester, UK
  • Degree: Masters in Data Science
  • Email: the.data.artistry@gmail.com

Skills

With Master's in Data Science and 7 years of industry experise, I bring a wealth of experience to the world of data science and software development.

ASP .Net & C# 100%
Blazor, MAUI & Razor 90%
SQL 90%
RPA 75%
Microsoft Azure 90%
Python 80%
Exploratory data analysis (EDA) 90%
Visualization (Power BI) 90%
TensorFlow 70%
Machine Learning 75%

Resume

Education

Master of Science & Data Science

Manchester Metropolitan University, Manchester UK

2022 - 2023

Course work Research : Towards Sustainable Aviation: Utilizing Machine Learning, Remote Sensing, and Climate Modelling to Optimize Contrail Detection and Mitigation for Effective Reduction of Aviation-Related Global Warming

Passed with Distinction (80%)

Bachelor of Engineering & Electronics & Communication Engineering

Easa College of Engg & Tech, India

2011 - 2015

Passed with First Class (79%)

Certifications

Microsoft Azure (AZ 900) Fundamentals
Microsoft Azure AI (AI 900) Fundamentals
Microsoft Azure Data(DP 900) Fundamentals
PMI Project Management Ready
Microsoft Office Specialist: Associate (Microsoft 365 Apps) - Excel, Word, PowerPoint

Community leadership & Advocay

Google Women Tec Makers Ambassador
PEAs in Pods(public engagement for Data and AI Community Co-Production)

Professional Experience

R&D Developer Engineer

2023 - Present • Manchester, UK

  • Tech Stack: Python, C#, Pandas, data Pipelines, SQL, Azure, Machine Learning, Scikit-Learn, Power BI, Docker, Kubernetes
  • Designed and deployed machine learning models to analyse laser performance data, to reduce noise levels, leading to enhanced precision in laser outputs and improved product quality.
  • Built a Chrome extension for secure local settings file access ( JSON & XML, SQL & Postgres SQL) and a custom NuGet package using graph structures and advanced data structures and algorithms
  • Developed predictive maintenance pipelines and implemented unsupervised learning techniques to cluster laser usage patterns, identifying key operational inefficiencies and optimizing production workflows.
  • Collaborated with R&D teams to integrate AI-driven calibration algorithms for lasers, improving accuracy and reducing manual adjustments by
  • Built and visualized Power BI dashboards to communicate insights derived from laser data, driving data-driven decision-making.
  • Conducted exploratory data analysis (EDA) to identify correlations between laser settings and performance metrics, offering actionable insights for design enhancements.
  • Applied Test-Driven Development (TDD) methodologies to develop reliable and maintainable software, simulating hardware scenarios with Moq and MS Test, ensuring safety and efficiency in a hardware-integrated environment
  • Led a cross-functional team to design and implement scalable software architectures, improving system reliability and performance by 40% using Builder and Template Design Patterns and eliminating repetitive code.

Technical Analyst

Chennai, India • 2017 - 2022

  • Tech Stack: C#, WPF, .Net, SQL, RPA, Azure, Elasticsearch, Azure, Git, OCR Tools, Domain-Driven Design (DDD)
  • Led a team 5 to deliver enterprise-level automation solutions in C# within agile environments, achieving 90% automation.
  • Architected a vaccination verification platform using Restful APIs, RPA, Outlook, SharePoint, RabbitMQ, Elastic Search, and ABBYY OCR, ensuring business continuity during the pandemic.
  • Designed and implemented an automation framework managing live shipment bookings, enabling real-time updates via SharePoint and reducing processing time
  • Applied Domain-Driven Design (DDD) principles to model complex business processes, creating a robust and scalable architecture that aligned with enterprise needs.
  • Migrated legacy systems to Azure, improving uptime and scalability, and enhanced debugging using Elasticsearch and Kibana for monitoring capabilities.
  • Awarded the Applause, Curtin and many other awards for delivering a critical application within one week and received multiple client appreciations for meaningful contributions, leadership and innovation.
  • Mentored junior developers, providing hands-on training in SQL, stored procedures, and C#, boosting productivity by 25%.

Cognizant Technology Solutions

Chennai, India • 2016 - 2017

  • Tech Stack: C#, Asp.Net MVC, SQL, JavaScript, jQuery, HTML, CSS, TFS
  • Developed enterprise web applications with C# and ASP.NET MVC, applying SOLID principles to refactor code maintainability.
  • Designed and consumed RESTful APIs for efficient communication between systems and enhanced role-based security using Identity and Access Management (IAM).
  • Collaborated with QA, DevOps, IT Support and senior developers to improve backend systems and optimize database queries, enhancing application performance.

Projects

  • All
  • Software
  • Data
  • Dashboards
  • Roadmaps

Data Project

Brain Tumor Classification with PyTorch

Global Hunger Index9 GHI) Dashboard

Global Hunger Index9 GHI) Dashboard

Roadmap 3

Roadmap for NLP & LLM

Data Project

Fraud Detection Using Neural Networks

Roadmap 1

Roadmap to be a Data Analyst

Project 1

URL Shortener with Go & No SQL(Cassandra CQL)

Roadmap 2

Roadmap to be a Data Scientist

IMDB Movie Dashboard

IMDB Movie Dashboard

Data Project

Auto-ML PyCaret Iris Multiclass classification

Blogs

I enjoy writing Software, Data, Tech Trends and whatever else interests me!

Mathematics Behind The Decision Tree Algorithm

A Guide to Understanding the Mathematics Behind Decision Tree Algorithm

Essential APIs Every Developer Should Know for 2024

REST, SOAP, GraphQL, gRPC with Examples and Code Snippets

How to Save As a File in C# Blazor WASM Using Chrome Extensions & Native Apps

Step-by-step guide in communicating with a Native App from Chrome extensions

Mathematics Behind the K-Nearest Neighbors (KNN) Algorithm

A Complete Beginner’s Guide to the Math Behind KNN

Multi-Class Classification of Iris Dataset using PyCaret Auto ML

A step-by-step explanation of using the Auto ML Library

Creating a Multi-Page Power BI Dashboard: A Step-by-Step Guide with Global Hunger Index Data

Learn How to Load, Transform, and Visualize Data in Power BI with Detailed Instructions and Screenshots

Project IDX vs. Visual Studio Code: Which One is Right for You?

Choose the perfect development environment

How to create web extensions using C#?

Step-by-step instructions to create a web extension Blazor C#

Contact

Address

Manchester, United Kingdom

Email Me

the.data.artistry@gmail.com

InMotion Hosting

Get in Touch

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