Summary
Overview
Work History
Education
Skills
Websites
Certification
Achievements
Technical Skills
Personal Information
Training
Disclaimer
Languages
Timeline
Generic

SHAHLA NOURA

Bangalore

Summary

I am a self-motivated and enthusiastic data science and machine learning professional with a master's degree in computer applications. Through my passion for learning, I have gained multiple certifications in data science and machine learning. I am eager to kick-start my career and bring my skills and knowledge to contribute to the field of data science.

In addition to my academic qualifications and certifications, I am proficient in various programming languages, including R, Python, C, and C++. I have a solid foundation in these languages and am always looking to enhance my skills and knowledge further.

Overview

1
1
Certification

Work History

Movie Recommendation system

  • Technologies Used: streamlit and heruk deployment
  • Github Link: https://github.com/shahlanoura/Movie-Recommender
  • Created a movie recommendation system by using nltk labraries, Tfidf, By using jupyter notebook

EDA & Feature Engineering on Black Friday Data set (Brototype)

  • Technologies Used: Data Fetching, Data Cleaning, Feature Engineering, Data Visualization using Sea born and Matplotlib, EDA,ML(model building on progress)
  • Github Link: https://github.com/shahlanoura/Black-Friday-EDA
  • Cleaned Black Friday data, analysed customer behaviour, emphasizing purchase amount
  • Meticulously handled challenges for personalized offers, enhancing understanding of spending patterns

Salary Price Prediction web app using Streamlit

  • Technologies Used: Data Fetching, Data Cleaning, Data Visualization using Sea born and Matplotlib, EDA,ML(model - Regression),Streamlit,Scikit-learn,Pandas
  • Github Link: https://github.com/shahlanoura/salary-prediction
  • Built a Streamlit web app predicting salary using Python, Pandas, Scikit-Learn
  • Enhances user interface, offering an intuitive experience for accurate predictions

Image Classification

  • Technologies Used: Google colab
  • Github Link: https://github.com/shahlanoura/Image-Classification
  • Created an image classification dog and cat classification
  • By using the Google colab
  • Libraries like tensorflow and Keras

Movie Review Sentiment Analysis

  • Technologies Used: SQL
  • Github Link: https://github.com/shahlanoura/Sentiment-Analysis
  • Created a movie review sentiment analysis by using nltk labraries, Tfidf, By using jupyter notebook

Education

Master Of computer Application -

INDHIRA GANDHI NATIONAL OPEN UNIVERSITY
01.2023

Skills

  • Self-discipline
  • Java
  • C
  • Python
  • R program
  • pandas
  • Numpy
  • matplotlib
  • Sklearn
  • Machine Learning
  • NLP
  • Deep learning
  • Tensorflow

Certification

  • Google Data Analytics Professional Certificate
  • IBM Data Analytics Professional Certificate
  • Intermediate in Hackerrank
  • Completed Coders Challenge Conducted by Brotptype

Achievements

  • 4 Star in SQL Hackerrank
  • 3 Star in Python Hackerrank
  • 3 star in DSA Python Hackerrank
  • Successfully completed 100k coding challenges

Technical Skills

Python,Pandas,Numpy,Scikit-learn, C, OOPs, Data Structures & Algorithm, Data Fetching(CSV, JSON, API, Web Scrapping), EDA, MySQL, HTML, CSS, ML (Regression & Classification), Data Preprocessing, Feature Engineering,Git,MS-Excel, Power bi, Tableau , NLP, Deep Learning, JS, Java, TCL/TK, PlSql

Personal Information

Title: Data Scientist

Training

  • Attended 6 months Training in Data Science from Brototype, Comprehensive training in Data Science concepts, proficient in Exploratory Data Analysis (EDA) and Feature Engineering. Additionally, instructed on data analysis, machine learning, deep learning, natural language processing and Python within the realm of Data Science., EDA & Feature Engineering on Black Friday Data set
  • Attended 2 months of training in Machine learning from Personfiwy, Completed a 2-month Machine Learning training at Personfiwy, covering supervised and unsupervised learning, model evaluation, feature engineering, and practical applications through hands-on projects.

Disclaimer

Bangalore, 4/11/2024, Shahla Noura

Languages

English
Advanced (C1)

Timeline

Movie Recommendation system

EDA & Feature Engineering on Black Friday Data set (Brototype)

Salary Price Prediction web app using Streamlit

Image Classification

Movie Review Sentiment Analysis

Master Of computer Application -

INDHIRA GANDHI NATIONAL OPEN UNIVERSITY
SHAHLA NOURA