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MLPills
Data Scientist
June 29, 2026 – Present
data-smoothing
April 17, 2023 – April 17, 2023
A Jupyter Notebook that covers the basics of smoothing your data
View Projectremove-seasonality-and-normalize-data
February 21, 2023 – February 22, 2023
A Jupyter Notebook that covers the basics of removing seasonality, making the data stationary and normalizing data
View ProjectAudio_Sentiment_Analysis
September 28, 2020 – October 1, 2020
Sentiment analysis of audio segments
View ProjectMusic_Detection
September 2, 2020 – September 2, 2020
Detection of music fragments in an audio file.
View ProjectPredicting_Dengue_Spread
July 31, 2020 – August 25, 2020
Predict the number of dengue cases each week based on environmental variables
View ProjectOptimal_Location_London
June 15, 2020 – July 25, 2020
IBM Data Science Professional Certificate Capstone Project
View ProjectH1N1_and_Flu_Vaccines
June 5, 2020 – July 29, 2020
Predict how likely individuals are to receive their H1N1 and seasonal flu vaccines.
View ProjectPlacements_Multiple_Linear_Regression
May 20, 2020 – December 8, 2022
Work placement salaries analysis through multiple linear regression and their occurrence based on qualifications and work experience.
View ProjectCultural Fit Analysis
The candidate's projects indicate a strong personal drive and interest in data science. However, all listed projects are personal and primarily use Jupyter Notebook, which might suggest a limited exposure to collaborative development environments or production-grade data science workflows. The future-dated current role makes it difficult to assess actual professional experience and cultural alignment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's experience level is listed as 0, but they have a current role as 'Data Scientist' starting in 2026, which is in the future. This discrepancy makes it difficult to evaluate real-world operational fit.