Maira Bakali
Junior Software Engineer
Enthusiastic software engineer eager to contribute to team success through hard work, attention to detail and excellent organizational
skills. Clear understanding of development concepts and trained in E-commerce solution. Motivated to learn, and help team achieve
company goals.
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EDUCATION
Karachi
linkedin.com/in/maira-bakali
TECHNICAL SKILLS
Study Program
FAST - National University of Computer and
Emerging Sciences (NUCES)
07/2016 - 07/2020,
Javascript/ Vue/ React
Node js/ Express Js
PHP/ Laravel
Electives
Business Analytics
Probabilistic Programming
Data Science
Entrepreneurship
HTML5/ CSS/ SASS
MongoDB/ SQL/ SQLite
Python
Web Development/ E-commerce
WORK EXPERIENCE
PROJECTS
Junior Software Engineer
ZEPCOM
Final Year Project [In Brain]
01/2021 - Present,
Achievements/Tasks
Created a custom product advisor for swimming pool using
vue js and laravel based on client's requirement
Coded websites using HTML, CSS, JavaScript and jQuery
languages
Data Analysis
An E-learning app developed on react native front end with
MongoDB back-end consists of two modules : parent and child to
cater the need of children with down syndrome and develop better
understanding for preschool.
BOMB FORECASTING
Analyzing suicide bombing trends in Pakistan by applying data
analysis concepts and prediction using naive bayes using
gaussianNB and Linear SVM
Learned all required tasks quickly to maximize performance
HOUSE SALES IN KING COUNTY
Worked closely with Project lead to maintain optimum levels
of communication to effectively and efficiently complete
projects
CREDIT CARD FRAUD DETECTION
Front end development intern
ZEPCOM
11/2020 - 01/2021,
Achievements/Tasks
Developed designs to meet specific requirements such as
quick-loading sites with particular layouts
Quickly learned new skills and applied them to daily tasks,
improving efficiency and productivity
Actively listened to customer's requests, confirming full
understanding before addressing concerns
Predicted house prices using various regression models and
calculating mean square error to find the best fit.
Used various predictive models to see how accurate they are in
detecting whether a transaction is a normal payment or a fraud.
Used logistic regression, XGboost and GridSearch
TO-DO APP
Created a server side to-do list application using express js and file
system adding json data
AIBL data analysis
Analyzed data using R to discover healthy and non healthy patients
having symptomatic Alzheimer's Disease (AD). Created visualization
plots for various features of patient i.e age, gender, hemoglobin
e.t.c
TUTOR APP
An application build on react native, node js for students to hire
tutors from the tutors profile
SOFT SKILLS
Team builder
Self motivated
Quick learner
Excellent communication
