Position: Data Scientist
Category: Data Science
English level: fluent
Years of experience: 4

Kindly check my LinkedIn
 1. 1st Place Position AI Hack Tunisia 2022
2. Won the 1st position in the data category to solve health problems.
3. 
2019 Axa Mansard Best participant in Insurance Hackathon(1st Position)
4. Won 2nd place position solving NFT's challenge using Natural Language Processing.
About me:
Hi, I'm Nasirudeen, an experienced data scientist who loves solving health and financial problems. I have been able to work in a financial institution by building a sustainable machine learning model to increase customer satisfaction and solve a global health hackathon predicting the likelihood of a patient diagnostics test being negative or positive using responsible AI. I'd love to solve various health and financial-related problems to improve the well-being of humanity by decreasing the infectious diseases ratio, early fraud detection models, helping reduce maternity care failure, reducing gender-based violence and crime rate. I am skilled in using various data science tools like Statistics, Python, Pandas, Numpy, matplotlib, Lime, Shap, Twint, Spacy, and NLTK and have good data analysis skills from univariate, bivariate, and multivariate analysis, sound statistical analysis background, and business-oriented personnel.
1. implementing customer segmentation model(Kmeans and RFM) for improved business strategy, unveiling individual and group identity
2. AXA employee churn prediction model
3. Won the 1st position in the data category to solve health problems.
The solution determines the likelihood of an individual diagnostics test is positive or negative using machine and interpretable machine learning (Explainable AI).
4. Won 2nd place position solving NFT's challenge using Natural Language Processing