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Ultria Software Solutions
Data Scientist
June 25, 2026 – Present
Data-Science-Content
March 6, 2025 – March 6, 2025
All notes for ML, DL , Data Engineering and Business Analytics stored here
View ProjectMelanoma-Classification-Model
February 12, 2024 – February 12, 2024
To build a CNN based model which can accurately detect melanoma. Melanoma is a type of cancer that can be deadly if not detected early. It accounts for 75% of skin cancer deaths. A solution that can evaluate images and alert dermatologists about the presence of melanoma has the potential to reduce a lot of manual effort needed in diagnosis.
View ProjectLeadScoringAssignment
October 17, 2023 – October 17, 2023
LeadScoringAssignment — GitHub repository
View ProjectAssignment_Personal
February 16, 2021 – February 18, 2021
Assignment_Personal — GitHub repository
View ProjectStamp-Extraction-From-Docx-files
December 18, 2020 – December 18, 2020
Extracting a specific stamp if present in the document
View ProjectDeployment-of-flask-api-using-supervisor-and-gunicorn
September 24, 2020 – September 24, 2020
Deployment-of-flask-api-using-supervisor-and-gunicorn — GitHub repository
View ProjectMulti-Label-Text-Classification
April 29, 2020 – April 29, 2020
Multi-Label-Text-Classification — GitHub repository
View ProjectHyperspectral-Imaging
February 24, 2018 – April 12, 2018
Python Script to process Hyperspectral images using openCV and TensorFlow
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards machine learning and deep learning applications, which aligns with a Data Scientist role. However, the projects are predominantly personal and lack diversity in team collaboration or open-source contributions. The single professional experience listed is current, with no details on responsibilities or achievements, making it difficult to fully assess cultural fit and real-world application of skills.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.