Data Analyst in Schneider Electric, B.Tech, Coder, ML and DL Enthusiast working on Tableau, Web Data Analytics, AWS, Salesforce Reporting.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Schneider Electric
Data Scientist
June 24, 2026 – Present
Classification-CT-Scan-Images-Age-and-Contrast-CNN
August 6, 2020 – August 6, 2020
A computed tomography scan is a process which uses computers and X-ray machines which rotates to create cross-section images of body. The images provided by the CT scans are more accurate and detailed in comparison to normal X-ray images. The detail in the images can be increased by administering a chemical dye called contrast. The dye can be administered by a medical practitioner with prior permission from the patient as there is a risk of having side effects such as cancerous disease, head-aches and others. Our study aims at providing a classification model using a CNN learning algorithm to classify images based on age of a person and if contrast material is used. A practitioner hence can get prior knowledge about trends in CT scan images and if administering contrast material would affect the image in any way. Our proposed model provides an accuracy of 89.99% on any test CT image.
View ProjectAudio-encryption-decryption-image-format-secured-channel
August 4, 2020 – August 4, 2020
A novel approach to securely encrypt audio files (.wav) and transmit it through a Additive White Gaussian Noise Channel (AWGN) in an .TIFF image format and decrypt the audio at the receiver end and calculated the Bit Error Rate and Noise Generated.
View ProjectXception-X-Ray-Chest-Disease-Classification
July 17, 2020 – July 17, 2020
Classification of Chest Diseases from X Rays using Xception Model
View ProjectCNN_FacialRecognition_LFW_FUEL
July 25, 2018 – July 25, 2018
Applied CNN using Keras on LFW_Fuel Dataset containing 2200 images
View ProjectMachine-Learning-Algorithm
December 20, 2017 – December 25, 2017
The Codes generated are from the course of Machine Learning A-Z in Udemy
View ProjectCultural Fit Analysis
The candidate's projects show a strong interest in machine learning and deep learning, particularly in image and audio processing. The variety of projects, from medical imaging to audio encryption, suggests a broad technical curiosity. The current role as a Data Scientist at Schneider Electric aligns well with the target role. However, the projects are all personal, which limits insight into collaborative work or industry-specific problem-solving approaches beyond individual contributions.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate an ability to work on complex technical problems, but there is no information regarding teamwork, communication, or problem-solving in a collaborative environment.