Hamid Abdulsalam

Hamid Abdulsalam

Data Scientist

Factual Analytics

About

Hi there ! I am Hamid, A Statistician/Data Scientist who is passionate about statistical inference, machine learning, deep learning, and their applications in various industries. Proficient in leveraging statistical models and advanced machine learning techniques to extract valuable insights from complex datasets. A results-oriented professional, dedicated to driving data-driven decision-making and enhancing business performance through the application of cutting-edge data science techniques.

Interests
  • Statistical Inference
  • Machine Learning
  • Deep Learning
  • Algorithmic Trading
Education

  • MSc in Statistics, 2018

    Ahmadu Bello University, Zaria

  • BSc in Statistics, 2012

    University of Nigeria, Nsukka

Skills

R
Python
SQL
AWS
Git
Power BI
Excel
SAS
Tableau

Experience

 
 
 
 
 
Factual Analytics
Data Scientist
Factual Analytics
July 2018 – Present Lagos

Responsibilities include:

  • Performing advanced analyses on data using advanced analytical techniques, such as predictive modeling, machine learning, time series analysis, simulation, and optimization
  • Analyzing trends, predicting outcomes, or assessing relationships using machine learning and deep learning models
  • Visualizing and reporting complex statistical models with PowerPoint, Excel, RMarkdown Power BI, and Tableau
  • Model deployment via AWS and Azure
 
 
 
 
 
Semicolon Africa
Data Scientist
Semicolon Africa
November 2019 – August 2021 Lagos

Responsibilities include:

  • Performing advanced analyses on data using advanced analytical techniques, such as predictive modeling, machine learning, time series analysis, simulation, and optimization
  • Analyzing trends, predicting outcomes, or assessing relationships using machine learning

Recent Posts

Investigating the Dynamics between Price-to-Rent Ratio and Market Fundamentals: A Vector Error Correction Model (VECM) Analysis in R
Introduction The real estate market plays a vital role in the economic landscape of any country, acting as both a key indicator of economic health and a crucial component of household wealth.
Last updated on Jul 21, 2023 8 min read
Unraveling Kickstarter Success: A Machine Learning Approach Using Random Forest and Logistic Regression
Introduction In recent years, crowd-funding platforms have revolutionized the way innovators, artists, and entrepreneurs seek financial backing for their creative ventures. Among these platforms, Kickstarter has emerged as a pioneering force, enabling project creators to connect directly with a global audience and secure funding for their ideas.
Last updated on Jul 21, 2023 7 min read
Object Detection and Blurring Using YOLOv5
Looking to learn about object detection and blurring? This video is for you! I showcase the usage of YOLOv5, a popular algorithm, to identify and blur objects in videos. Follow along as I guide you through the process of importing and setting up YOLOv5, loading pre-trained weights, and applying object detection to video frames.
Last updated on Jul 16, 2023 1 min read

Projects

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All Deep Learning Other
Binance Trading Bot
In this Project, I implemented a Machine Learning Binance Trading Bot in Python.
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Binance Trading Bot
Predicting Brain Tumor Type from MRI Images Using Ensemble of Deep Learning Features and Random Forest
Predicting Brain Tumor Type from MRI Images Using Ensemble of Deep Learning Features and Random Forest.
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Predicting Brain Tumor Type from MRI Images Using Ensemble of Deep Learning Features and Random Forest

Contact

Are you looking for expert assistance? Look no further! With my specialized knowledge and experience, I can provide you with the cutting-edge solutions and insightsyou need. Let’s collaborate !!!