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Project_PlantDiseaseDetectionUsingCNN
January 9, 2021 – February 2, 2021
Convolutional neural network models were developed to perform plant disease detection and diagnosis using simple leaves images of healthy and diseased plants, through deep learning methodologies. Training of the models was performed with the use of an open database of 19,721 images, containing different plants in a set of 15 distinct classes of [plant, disease] combinations, including healthy plants. Several model architectures were trained, with the best performance reaching a 93.6% success rate in identifying the corresponding [plant, disease] combination (or healthy plant). The significantly high success rate makes the model a very useful advisory or early warning tool, and an approach that could be further expanded to support an integrated plant disease identification system to operate in real cultivation conditions.
View ProjectProject_CustomerSegmentationUsingR
December 10, 2020 – February 2, 2021
Customer Segementation is used in marketing to better understand customers of a business and target them accordingly. Segmentation of customer can take many forms, based on demographic, geographic, interest, behavior or a combination of these characteristics. Segmentation for this analysis was conducted based on their purchase behavior, the features to be analyzed were Recency, Frequency and Monetary Value, (RFM) for short.
View ProjectPredictingPumpFailureWithMLP
November 25, 2020 – November 25, 2020
showing that we can learn a MLP for predicting whether a water pump will fail in a future time window or not.
View ProjectHackerEarth_solution
August 26, 2020 – August 26, 2020
HackerEarth_solution — GitHub repository
View ProjectHackerRank_solution
August 26, 2020 – March 26, 2021
HackerRank_solution — GitHub repository
View ProjectEmailApp
August 18, 2019 – September 20, 2019
Creating Email id specific to first name last name and dept, and generating default password
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a mix of personal projects, some related to data science and others to general programming (Java, EmailApp). The diversity of projects indicates a willingness to explore different areas, which could be a positive for cultural fit in a dynamic environment. However, the lack of professional experience or team-based projects makes it difficult to fully assess collaboration or alignment with a specific company culture. The target role is Data Scientist, and while some projects align, others (e.g., JavaBankProject, HackerEarth_solution) do not directly contribute to this specialization, suggesting a broad but not deeply focused skill set for the target role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief, and there are no psychometric or English test scores available for evaluation.