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ML | DL | Computer Vision | Data Science. MSc in ECE - Computer Vision from the University of Michigan
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
RediMinds
Data Scientist
June 28, 2026 – Present
AKI
March 10, 2022 – September 23, 2024
Code repository of AKI (Angewandte Künstliche Intelligenz)
View ProjectMindspore-DL-Framework
June 12, 2021 – June 12, 2021
Training a model using basic Mindspore commands on the MNIST dataset.
View ProjectNITA-Notes-in-the-air
June 5, 2021 – June 8, 2021
Draw in the air using your finger. OpenCV project.
View ProjectSpamEmailClassification
June 3, 2021 – June 4, 2021
Coded a simple spam email classification model for ML subject in college.
View ProjectRailway-announcement-python
May 28, 2021 – May 29, 2021
Railway-announcement-python — GitHub repository
View ProjectSteganography-Java
May 28, 2021 – May 28, 2021
Encode & decode messages in an image; created using Java and NetBeans.
View ProjectAir-Quality-Visualization-Mastek
February 28, 2021 – May 28, 2021
Hackathon project for Mastek's Deep Blue season 6 on visualization of AQI and its components integrated with SARIMAX statistical model.
View Projectbutterfly-DistributionMap-Folium
February 22, 2021 – May 28, 2021
butterfly-DistributionMap-Folium — GitHub repository
View Projectcsi-website-2020-2021
September 13, 2020 – March 16, 2024
Official website of CSI-VESIT for the year 2020-21.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a breadth of interests, including web development (HTML, CSS, JavaScript, PHP) alongside data science and machine learning projects. This indicates a versatile individual, but the focus on Data Scientist role is somewhat diluted by the diversity of non-data science projects. The single current role as 'Data Scientist' at RediMinds aligns with the target role, but without further details on responsibilities, it's hard to gauge the depth of fit. The projects are primarily personal and academic, which is common for an entry-level candidate, but for a senior role, more substantial, real-world data science projects would be expected.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.