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Data Scientist
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Assessing your cultural and operational fit
Data-Structures-in-Python
September 17, 2020 – September 27, 2020
Data Structures in Python
View ProjectDigiRecogni
June 13, 2019 – November 22, 2022
Handwritten Digit Recognition. ... MNIST is a widely used dataset for the hand-written digit classification task. It consists of 70,000 labeled 28x28 pixel grayscale images of hand-written digits. The dataset is split into 60,000 training images and 10,000 test images. There are 10 classes (one for each of the 10 digits).
View ProjectSmile-Detection
April 1, 2019 – December 8, 2022
Happy House data set is images from the front door camera to check if the person is happy or not. The data set is labelled. Archieved 97.7% accuracy and Compared with LeNet5. Perfomed comparision between SGD, RMSprop and Adam Optimizers.
View ProjectSupermarket-Automation-System
October 4, 2018 – October 4, 2018
The main aim of the Project is automating Supermarket billing system and monitoring. An application is developed using Java and MySQL which is capable of automate the billing and statistics of total Supermarket.
View ProjectRestaurant-Management-System
August 26, 2018 – August 26, 2018
The Restaurant Management System is developed to keep records of the Restaurant like the food items, orders with online food ordering facility and provides managing facility for the restaurant. It is the web based project developed using PHP for backend, MySQL for database, CSS, HTML and Java Script. We named this as Food Corner with tag line chase the flavors. We used xampp server to run this project in ubuntu operating system.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a mix of web development (PHP, Java) and data science/machine learning projects (Python). While there's an alignment with the 'Data Scientist' target role through specific projects, the overall diversity suggests a broad interest rather than a focused deep dive into data science. The personal nature of all projects indicates self-motivation but lacks evidence of team collaboration in a professional setting.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.