Uzair Wahab
zaroonchaudhary8899@gmail.com
Professional Title
8899575618
Highly self-confident and driven Machine Learning professional,
adaptable to change and receptive to new ideas. A dedicated and
attentive listener, constantly seeking opportunities for growth and
improvement. Proficient in applying advanced algorithms to
develop innovative ML solutions. Excited to contribute expertise
and drive meaningful advancements in the realm of Machine
Learning. Study Deep Learning
Hapur, India
EDUCATION
github.com/uzairwahab
SKILLS
Bachelor of Technology
Sudeerdeep Engreering Collge
08/2019 - 07/2023,
linkedin.com/in/uzair-wahab-455069242
Gaziabad, India
Python
Computer Vision
Machine Learning
Object Detection
Object tracking
Feature Engneering
Machine Learning Intern
Ineuron Intelligence Private Limited
Flask
06/2023 - 08/2023,
Exploratory Data Analysis
flight fare pridction
Neural Network
Strimlit
Image Classification
WORK EXPERIENCE
Yolo
Tensorflow
SQL
Keras
CNN
ANN
Pandas
Heroku
Bootstrap
HTML
Developed a flight fare prediction model using
machine learning algorithms to forecast ticket prices
for various routes and travel dates. The objective was
to create an accurate pricing model to assist
travelers in making informed booking decisions.
PERSONAL PROJECTS
Working with EDA and HyperPerameter Tuning.
Flight Fare Pridction (02/2023 - 03/2023)
The accuracy of this model came 85%.
AI Vertual Expirence Programm
Cognizant Technology Solutions India
Private Limited
05/2023 - 06/2023,
forage India Pvt. Ltd Made me do this program
Thare are % tasks
Exploratory Data Analysis
Data Modeling
Model Building and Interpretation
Machine Learning Production
Quality Assurance
CERTIFICATE
1). DATA SCIENCE MASTERS BY INEURON.AI
(02/2023 - Present)
THAT A 9 MOUNTHS COURSE IN THIS COURSE WE STUDY
DEEP LEARNING, MACHINE LEARNIING, CNN, RNN, AND DATA
ANALYTICS AND MANY MORE
2). PYTHON BY INFOSYS SPRINGBOARD
3). MACHINE LEARNING INTRO BY INFOSYS
SPRINGBOARD
AWS
Data Collection and Exploration: Gathered a comprehensive dataset
comprising flight attributes, including Many Features, Time, depth
tme, table, and other relevant parameters. Using Hyperperameter
tuning after using this we increse 5% of accurecy
LINK: https://github.com/uzairwahab/Flight-Price-Pridiction.git
Model Selection and Training: Explored various regression models,
including Linear Regression, Decision Trees, Random Forest, Gradient
Boosting,
Celebrity Face Peidicter Image Classification project
(05/2023 - 06/2023)
Machine Learning Model: Implemented a deep learning model using
Convolutional Neural Networks (CNNs) and pretrained models (e.g.,
VGG16, ResNet) for image classification.Fine-tuned the model on a
dataset containing thousands of celebrity images for improved
accuracy.
Accuracy and Evaluation: Evaluated the model's performance using
metrics like accuracy, precision, recall, and F1-score.Implemented unit
tests to ensure the system's reliability.
LINK - https://github.com/uzairwahab/Celebrity-Fece-Pridicter.git
Student Performance Indicator (04/2023 - 05/2023)
Problem Statement:This project understands how the student's
performance (test scores) is affected by other variables such as
Gender, Ethnicity, Parental level of education, Lunch and Test
preparation course
Data Collection: Dataset Source https://www.kaggle.com/datasets/spscientist/studentsperformance-in-exams?datasetId=74977- The data consists of 8
column and 1000 r.ows
Visualainsation and reporting:Created interactive visualizations and
dashboards to provide stakeholders with a clear overview of Student
Performance.
4). STATSTICS BY GREAT LEARNING
INTERESTS
ARTIFICIAL INTELLIGENCE
DEEP LEARNING
ADVENTURE TRAVELLING
BADMINTEN