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@PythonFoundation
Data Scientist
June 12, 2026 – Present
Avian-Ailment-Analyzer
September 19, 2024 – June 6, 2025
Avian-Ailment-Analyzer — GitHub repository
View ProjectSMS-and-Email-spam-detection-system-
August 9, 2023 – January 9, 2025
Machine Learning algorithm that predicts whether a message or email is spam or ham.
View ProjectMovie-Recommender-System-Content-based-
July 20, 2023 – July 20, 2023
Content based movie recommender system
View ProjectLogistic-Regression-Model-
July 4, 2023 – July 4, 2023
A model that tests dataset based upon the working of Logistic Regression and uses classification process to split the data.
View ProjectRandom-Forest-Regression-Model
July 3, 2023 – July 3, 2023
A model that tests dataset based upon the working of Random Forest Regression
View ProjectPolynomial-Regression-Model
July 3, 2023 – July 3, 2023
A model that tests dataset based upon the working of Polynomial regression
View ProjectSupport-Vector-Regression-Model
July 3, 2023 – July 3, 2023
A model that tests dataset based upon the working of Support Vector Regression
View ProjectDecision-Tree-Regression-Model
July 3, 2023 – July 3, 2023
A model that tests dataset based upon the working of Decision Tree Regression
View ProjectMultiple-Linear-Regression-Model
July 3, 2023 – July 3, 2023
A model that tests dataset based upon the working of Multiple Linear regression
View ProjectLinear-Regression-Model
July 3, 2023 – July 3, 2023
A model that tests dataset based upon the working of linear regression
View ProjectCultural Fit Analysis
The candidate's projects demonstrate a strong interest in core machine learning concepts, which aligns with a Data Scientist role. However, the projects are predominantly academic/personal implementations of standard algorithms, lacking diversity in real-world application or complex system integration. The single listed 'experience' at '@PythonFoundation' with a future start date and no details makes it difficult to assess actual professional experience or cultural fit beyond theoretical alignment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's experience is primarily project-based with limited detail on collaborative work or problem-solving approaches.