#Data Scientist And Data Analyst #MSC Mathematics
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data_Analysis_on_Electric_Vehicle
July 22, 2023 – July 22, 2023
Data Analysis project focusing on Electric Vehicles (EVs). 🚗💨 Exploring a comprehensive dataset of EVs, I leveraged Python's Plotly library to conduct extensive Exploratory Data Analysis (EDA). 📊📈 The goal was to gain valuable insights into the trends and patterns in EVs' adoption and characteristics.
View ProjectExperiment-Tracking-with-MLFlow
May 9, 2023 – May 9, 2023
Experiment-Tracking-with-MLFlow — GitHub repository
View ProjectProductionize-a-ML-Model
May 7, 2023 – May 7, 2023
Productionize-a-ML-Model — GitHub repository
View ProjectExploratory-Data-Analysis-AMEO-Data-
April 18, 2023 – April 18, 2023
Exploratory-Data-Analysis-AMEO-Data- — GitHub repository
View ProjectFlipkart-Laptop-Data---Business-Insights-on-Product-Pricing
April 12, 2023 – April 12, 2023
Flipkart-Laptop-Data---Business-Insights-on-Product-Pricing — GitHub repository
View ProjectDiminos-Case-Study
April 11, 2023 – April 11, 2023
Diminos-Case-Study — GitHub repository
View ProjectAnalysis-on-ML-Test-Scores
April 11, 2023 – April 11, 2023
Analysis-on-ML-Test-Scores — GitHub repository
View ProjectURL-Shortning-App-Flask-Project-
April 2, 2023 – April 2, 2023
URL-Shortning-App-Flask-Project- — GitHub repository
View ProjectBackend-Project-2-Debugging-
March 20, 2023 – March 20, 2023
Backend-Project-2-Debugging- — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects primarily focus on data analysis and machine learning, aligning with a Data Scientist role. The diversity of project topics (EVs, e-commerce, ML experiment tracking) indicates a broad interest within the data science domain. However, the lack of team-based projects or detailed descriptions limits a deeper assessment of cultural fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief, limiting insight into collaboration or problem-solving approaches.