Hey! I am

Nouman Ahmed

I'm a

About

About Me

Data Scientist | Software Engineer.

Hi, I am a Software Engineer who loves Data Science and building products related to data. I recently analyzed Stackoverflow Annual Developer Survey to answer some business questions. I also built a web app that classifies messages in appropriate categories for disaster response. I'd love to combine my passion for data science with my software development skills to continue building products for people.

  • Name: Nouman Ahmed
  • Location: San-Sebastian, Spain
  • Email: noumanmufc07@gmail.com
  • Phone: +31-687403058

0+ + projects completed on Fiverr and Upwork

Download CV

Education

Sept, 2021 - Present

European Masters Program in Language and Communication Technologies

First Year: University of Groningen, Netherlands

Second Year: University of Basque Country, San Sebastian

Major: Natural Language Processing Applications

Relevant Coursework: Machine Learning, Linguistic Analysis, Statistics, Corpus Linguistics

Sept, 2016 - Jun, 2020

Bachelors of Engineering in Software Engineering

NUST (National University of Science and Technology), Islamabad

Relevant Coursework: Object Oriented Programming, Data Structures and Algorithms, Software Engineering, Software Construction, Machine Learning, Software Design and Architecture

Mar, 2020 - Jun, 2020

Data Scientist Nanodegree - Certificate

Udacity

Relevant Coursework: Introduction to Data Science, Software Engineering, Data Engineering, Experimental Design and Recommendations

Experience

Jul, 2020 - Jul, 2021

Sofware Engineer

Arbisoft
  • Worked on the project, Sentimeter, which provides a system to analyse and provide a better customer experience
  • Root Cause Analysis: Built a component for analysis of concerns faced by organizations and tracking the progress against solutions.
  • Google Analytics: Integrated Google Analytics into the web app and react native app along with using Google Reporting API to create and automate custom daily, weekly, and monthly reports
  • Push Notifications: Integrated Push notifications in React Native for both iOS and Android with Firebase Messaging Service.
  • Single Sign-on: Integrated Google SSO into the web app using react-google-login and django-allauth
Jun, 2018 - Jun, 2020

Research Assistant

TUKL-NUST, Research and Development Centre, SEECS
  • Implemented various classic Convolutional Neural networks like LeNet-5, AlexNet, VGG-16 and ResNet-34 using Pytorch. Tested these models on MNIST, FashionMNIST and CIFAR-10 Datasets - Github

  • Worked on Unsupervised Water Body Classification using Deep Learning (Keras and Tensorflow). F1 Score of 85% on classification of water bodies in EuroSAT

Jun, 2019 - Sep, 2019

Research Intern

Microelectronic Systems Design Research Group, Technische Universität Kaiserslautern, Germany
  • Worked on a DAAD-funded project titled, ‘Forest Monitoring and Change Detection using Remote Sensing Imagery’

  • Built an unsupervised pipeline for forest regions binary classification and achieved an f1 score of 91% on the test set of EuroSAT.

Skills

Proficient

Python

Tensorflow

Django/DRF

React.js/Redux

Selenium

SQL

Experienced With

numpy, pandas

matplotlib, scikit-learn

Node.js

MongoDB

PyTorch

Flask

Services

My Services

I can provide you with production ready code for the following services

Projects

My Projects

My projects in data analysis, data modeling, web scraping and web development

Insights from Stackoverflow Developer Survey

Using Python's libraries numpy, pandas, matplotlib & scikit-learn analyzed the dataset of past three years to answer questions like the effect of education on salary & job satisfaction.

Medium GitHub

Unsupervised Classification of Forest Regions Using Deep Learning

Classified remote sensing forest regions in a progressive unsupervised way due to lack of annotated data and surpassed state-of-the-art unsupervised classification results for classification on Forest regions using satellite imagery

Using Data Science Pipelines for Disaster Response

Build ETL and ML pipelines for the data loading, data transformation and classification of messages into disaster categories. The dataset was from FigureEight.

Medium GitHub

Quora Scraper

Built a Quora Scraper using selenium to automate the login process and scrape questions/answers against any query.

Medium GitHub

Website for Coding Challenges in Python

An online Python coding challenges platform like Hackerrank built using the MERN stack and Hackerrank API.

GitHub

Web Scraping Programs using Selenium & BeautifulSoup

Various Web Scraping Programs in Python for static as well as dynamic websites along with automating the authorization process.

GitHub

Blog

My Blogs

My blog posts on medium regarding my projects and learning

Building Recommendations for Articles with IBM

Jul. 4, 2020

Implementation of various recommender systems' algorithms for recommending articles on the IBM Watson Studio Platform.

Using Data Science Pipelines for Disaster Response

Jun. 5, 2020

Implementation of ETL and ML pipelines for data loading and classification of messages for disaster response

Insights from Stackoverflow Developer Survey

May. 8, 2020

A data-driven approach to gain insights from Stackoverflow Annual Developer Survey Dataset from 2017 to 2019

I'm Available for freelancing

I am available for any freelancing work related to my services and you can contact me on my email or click below to hire me on Upwork

Hire me on Upwork