
I am a Machine learning engineer with 2.5 years of experience in research and development-based environment CDAC( MEITY, Gov. Of. India).
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cdac
Data Scientist
June 19, 2026 – Present
Abusive-Content-Detection-Using-VLM
September 21, 2024 – September 21, 2024
Developed an AI system utilizing Vision-Language Models (VLM) to detect abusive content in images by combining visual features and textual prompts for robust content analysis.
View Projectaerofit_case_study
August 4, 2024 – August 4, 2024
aerofit_case_study — GitHub repository
View ProjectImage_obscene_content_detection
July 17, 2024 – July 17, 2024
Image_obscene_content_detection — GitHub repository
View Projectwebpage-classifier
July 17, 2024 – October 14, 2024
Built a webpage classifier which detects the category of the website using fasttext and classifies it as "safe" or "Not safe" categories
View ProjectCredit-Card-Fraud-Detection
April 16, 2024 – April 16, 2024
It is important that credit card companies are able to recognize fraudulent credit card transactions so that customers are not charged for items that they did not purchase. Here I tried to develop some models which best identifies the normal and fraudulent credit card transactions.
View ProjectLeveraging-Data-Science-to-Tackle-Driver-Churn-occurring-in-ride-hailing-companies.
April 15, 2024 – April 15, 2024
Recruiting and retaining drivers is a tough battle for the ride-hailing companies. Churn among drivers is high and it’s very easy for drivers to stop working for the service on the fly or jump to another company. To tackle this issue we developed a system which tells us whether a driver is going to churn or not.
View ProjectEmpEmotionTracker
September 4, 2021 – September 29, 2021
Employee Emotion Tracker using OpenCV
View ProjectCultural Fit Analysis
The candidate's projects show a strong focus on data science and machine learning, which aligns with the target role. However, the projects are all personal and lack diversity in team collaboration or real-world business impact. The single listed work experience at 'cdac' has a future start date, indicating no current professional experience. This suggests a potential gap in understanding collaborative development environments and business-driven problem-solving, which could impact cultural fit in a professional setting.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's experience level is listed as 0, and there are no completed psychometric or English tests with scores.