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Data Science with less than a year in Computer Science and Engineering, skilled in Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
To get an opportunity where I can make the best of my potential and contribute to the organization's growth.
Raghu Institute Of Technology
Bachelor of Technology · Computer Science And Engineering
N/A – June 30, 2021
M.R.A.G.R. Govt. Polytechnic
Diploma · Metallurgical Engineering
N/A – June 30, 2017
Tagore Vidya Kendram
S.S.C
N/A – May 31, 2014
Comparative analysis of credit card fraud detection with SMOTEand ADASYN
June 24, 2026 – Present
The credit card transactions are increasing day by day, including credit card fraud. So that credit card fraud detection system is used ro detect theh fraud transactions in banking system. Method Use: SMOTE. Key features: Data Preprocessing: Cleaning and transforming transaction data to ensure it is suitable for analysis. Machine learning models: Training classification algorithms like Logistic Regrression, Decision trees, Random forest and Neural networks to detect anomalies. Evacuation Metrics: Using accuracy, precision, recall, F1-score and ROC-AUC to evaluate model performance.
Handwritten Digit Recognition System
June 24, 2026 – Present
Handwritten digit recognition is the process to provide the ability to machines to recognize human handwritten digits. Here we used The MNIST DATASET. Key Features: Image Preprocessing: Resize and normalize digit images to ensure consistent input dimensions. Apply techniques like noise removal and thresholding for improved clarity. Feature Extraction: Extract meaningful features such as edges, pixel intensity and shape contours to feed into the model.
Web Scrappinng using BeautifulSoup
June 24, 2026 – Present
Web Scrappinng using BeautifulSoup
Word Cloud Visualization with Mask using Matplotlib
June 24, 2026 – Present
Word Cloud Visualization with Mask using Matplotlib
Completed Certification in Data Science with Python
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate an interest in diverse data science applications, from fraud detection to image recognition and web scraping. The academic background in Computer Science and Engineering, coupled with a diploma in Metallurgical Engineering, suggests a broad learning aptitude. The listed strengths of teamwork and continuous learning align with a positive cultural fit, though these are self-reported. The certification in Data Science with Python further indicates a proactive approach to skill development.
Soft Skills & Operational Fit
The candidate lists 'Dedicated at work and good at teamwork' and 'Quick and Constant learner of new technologies' as strengths. While these are positive attributes, there is no external assessment data (e.g., psychometric test results or interview feedback) to validate these claims. The project descriptions are clear, indicating a basic level of operational clarity in technical communication.