Banner Image

Skills

  • Algorithms
  • Analytics
  • Data Analysis
  • Data Management
  • eLearning Consulting
  • Machine Learning
  • Modeling
  • Predictive Modeling
  • Science
  • Tableau

Services

  • Data Scientist/ Analyst

    $50/hr Starting at $30 Ongoing

    Dedicated Resource

    I'm predictive analytics IBM certified, Data scientist with over 2 years of data science/analytics experience through freelancing projects, internships, scholarships and projects with real data at MOOCS...

    AlgorithmsAnalyticsData AnalysisData ManagementeLearning Consulting

About

I'm Ahmed Hisham
Predictive analytics IBM certified, Data scientist with over 2 years of data science/analytics experience through freelancing
projects, internships, scholarships and projects with real data at MOOCS like Intel/DataCamp/Udacity/IBM/EDX. Looking
for a career and a community that allows me to apply what I learned in a team and give me the chance to learn new things
and updates of the field daily.





PROJECTS



1)Travel agency company
Data analyst role
Working as data analyst in a travel agency,
that receives bookings from an online booking
platform. The business model is that a client
requests to make a booking, and based on the
sales communication, they choose to confirm
and pay or not.
Using Python, I cleaned the dataset. It
contained missings and datatype issues, it
needed to be transformed, I eliminated some
features and added new features, I handled
outliers and data.
Then I made Exploratory data analysis and
a story using BI tool like Tableau.
I handled Categorical features, Then I built a
model, I used a classification algorithm and
used neighbours classifier model and applied
cross-validation to get the most accurate
model without over/underfitting issues.. get
details on my Github please link.

2)USA Mobile App
Data Scientist role
'xxxx' is an information technology company built
few Apps has Data related to These Apps
they built with existing users Info.
the management and Marketing teams want
to get all possible benefits from these data
like..

• what is the most OS they need to be focus
most?


• how to increase the profit by targeting
users?


• what are the relations between variables or
how they affect each other?


• how to depend on these data in hiring
strategy too?


I assessed the data using Python packages like
pandas/numpy then, I cleaned the data by
Python too, I handled Categorical data and
found the Correlations, sat the KPIs up, then i
made an interactive Dashboards/Story in
Tableau and get help using Python language
too.