Machine Learning Practitioner | Computer Vision | Adaptive Al Systems Architect | SAS Certified Associate
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI-DS-100
May 19, 2026 – Present
A structured AI and Data Science project lab with 66 implemented notebook bundles across basic, intermediate, and advanced levels, including datasets, PDFs, and concise project descriptions.
View ProjectVXN-RAMNet
May 9, 2026 – Present
GPS-free visual route memory research system that learns routes from video frames, builds backtracking branch graphs with EfficientNetB0 embeddings, and classifies query routes using similarity evidence.
View ProjectAjaySoni-Dev
April 18, 2026 – Present
Applied Machine Learning and Computer Vision enthusiast focused on building practical, real-world AI systems beyond experiments and demos.
View ProjectWaste-Segmentation-CNN
September 2, 2025 – Present
A smart waste classification and optimization prototype with a CNN-based Flask interface, bin status simulation, route logic, RAPTOR flowchart, project report, and presentation files.
View ProjectPerceptronX-Lib
June 2, 2025 – Present
A custom Python perceptron learning library with regression, binary classification, experimental multiclass support, scaling helpers, gradient descent logic, prediction, and scoring.
View ProjectAutoML-Tool
April 13, 2025 – Present
A Python Shiny AutoML prototype for dataset upload, preprocessing, encoding, feature generation, regression/classification comparison, model selection, and prediction input workflow.
View ProjectAutoEDA-Tool
March 24, 2025 – Present
An R Shiny exploratory data analysis app for CSV upload, summaries, missing values, outlier detection, distributions, correlations, visual plots, and interactive dataset review workflows.
View ProjectNum-Guess-C
February 22, 2025 – Present
A Windows-based C number guessing game using Win32 controls, hints, restart flow, attempt tracking, score updates, and a simple graphical interface for beginner C practice and GUI logic learning.
View ProjectWeather-Sense-ML
February 3, 2025 – Present
A C + Python weather condition classifier with a Windows GUI, Random Forest model, saved encoder/model files, training notebook, balanced dataset, prediction script, and input history.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong passion for AI and Data Science, aligning well with a target role in this domain. The diversity of projects, from computer vision to AutoML tools and custom libraries, indicates a broad interest and willingness to explore different facets of the field. The self-driven nature of these projects suggests a good fit for an innovative and self-starting culture. However, the lack of team projects or professional experience makes it hard to assess collaboration and adaptability within a team environment.
Soft Skills & Operational Fit
The candidate demonstrates strong initiative and a proactive learning attitude through numerous personal projects. The focus on building practical, real-world AI systems suggests a results-oriented mindset. However, without formal work experience or psychometric test results, it's difficult to assess stress handling, team collaboration, or communication clarity in a professional setting.