
Student at Delhi Technological University | Machine Learning and Deep Learning Expertise | Research Student
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Beta_Infratech-Traffic-Count-and-Classification-Application
April 22, 2021 – May 14, 2021
A Project to fulfill Balaji's Infratech's Requirement for Custom software by Xero Technologies.
View ProjectFace-Detection-and-Recognition
June 29, 2020 – February 23, 2021
Face Recognition Model using OpenCV and Deep Learning.
View ProjectRead-Time-Face-Mask-Detecting-System
June 19, 2020 – February 23, 2021
Read Time Face Mask Detecting System using OpenCV, Keras/TensorFlow, and Deep Learning.
View ProjectVirtual-Pen
June 18, 2020 – June 6, 2021
Computer Vision Project: Virtual Pen using OpenCV and Python
View ProjectTweets-Classification-among-Hate-Speech-Offensive-Neither
June 4, 2020 – July 12, 2020
Twitter Dataset was used to classify the tweets as Offensive, Hate Text, and Neither of them
View ProjectHandwritten-Alphabets-Recognition
June 2, 2020 – February 23, 2021
This code helps you recognize Handwritten English Alphabets using Convnets with an accuracy above 99%
View ProjectImage-Denoising-Using-Autoencoders-in-Keras-and-Python
May 21, 2020 – June 2, 2020
Autoencoders were constructed using Keras in Python and are used to output Denoised images when the given input is a noised image of (28 x 28 x 1) dimension
View ProjectHandwritten-Digit-Recognizer
May 19, 2020 – July 20, 2020
Used MNIST dataset to recognize handwritten Digits. The model is suitable to run for real life examples for multiple digits in one image
View ProjectImage-Compression-using-KMeans-Clustering
May 17, 2020 – June 2, 2020
K-Means Clustering Algorithm was used for the Compression of images by decreasing the colors present in the image.
View ProjectCultural Fit Analysis
The candidate's projects are exclusively personal and heavily focused on specific areas within machine learning (primarily computer vision). While this shows initiative, the lack of diverse project types (e.g., team projects, open-source contributions, projects with broader business impact) and the absence of work experience or education details make it difficult to assess cultural fit, adaptability, or experience in collaborative environments. The projects align with a Data Scientist role, but the breadth of application is limited.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief, and there are no completed psychometric or English tests to provide insights into communication style, work attitude, or team collaboration.