Ismail K.

Ismail K.

Data Scientist - Machine Learning | Deep Learning

Hartford , United States

Experience: 6 Years

Ismail

Hartford , United States

Data Scientist - Machine Learning | Deep Learning

60000 USD / Year

  • Immediate: Available

6 Years

Now you can Instantly Chat with Ismail!

About Me

Data Scientist with 4.5 years experience in Machine Learning and Statistical Methods and overall work experience of 6 years with a Masters Degree in Business Analytics from NUS, Singapore. Highly skilled in Data Analysis and Data Visualization wit...

Show More

Portfolio Projects

Integrated Asset Classification

Company

Integrated Asset Classification

Description

➢ Integrated Asset Classification: ❖ Analyzed and validated MorningStar and IDC vendor raw data for Asset Classification as per Business Rules for downstream modelling applications. ❖ Used efficient, and eloquent SQL queries to extract data.

Show More Show Less

Skills

SQL Python

New Item Demand Prediction

Company

New Item Demand Prediction

Description

New Item Demand Prediction: ❖ Currently working on a Recurrent Neural Network using Python for Demand Prediction model. ❖ Modelled an ELM Neural Network in R for Demand prediction of Fashion shoes helping Supply Chain Optimization and reduce overall stock.

Show More Show Less

Skills

Python

SKU Re-Order Prediction

Company

SKU Re-Order Prediction

Description

Trained and optimized a RandomForest Classification model, to accurately predict item re-order, thus improving Sales by 22% for the next Quarter

Show More Show Less

Sales and Marketing Analysis

Company

Sales and Marketing Analysis

Description

  • Helped improve targeted marketing for specific Retail Stores by Cluster Analysis using K-Means clustering and analyzing sales KPI’s.

❖ Highlighted ‘Red- Flags’ to C-suite executives using Tableau for intuitive Data Visualization.

Show More Show Less

Emotional Sentiment Multi-Class Classification

Company

Emotional Sentiment Multi-Class Classification

Description

  • Modelled Classifiers in Python Scikit-Learn to compare accuracy in Predicting emotional sentiment from Brainwave readings.

❖ Used RandomForest, Logistic Regression, XGBoost, and Support Vector Machines classifiers

Show More Show Less