Aspiring AI & ML Engineer | Data Science Enthusiast with Practical Experience | Python, PyTorch, TensorFlow, scikit-learn | Software Development
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-Learning-Platform-Laravel
March 1, 2026 – Present
AI-Learning-Platform-Laravel — GitHub repository
View ProjectAI-Learning-Platform-py
March 1, 2026 – Present
AI-Learning-Platform-py — GitHub repository
View Projectrbi-llm-rag-gatekeeper
February 4, 2026 – Present
rbi-llm-rag-gatekeeper — GitHub repository
View ProjectPowerplay-AI-Assignment
December 23, 2025 – Present
AI assistant to convert unstructured procurement text into structured JSON
View ProjectaI-fitness-coach
December 3, 2025 – December 3, 2025
aI-fitness-coach — GitHub repository
View Projectai-public-health-chatbot
September 3, 2025 – Present
AI-Driven Public Health Chatbot for Disease Awareness A multilingual Streamlit-based chatbot that educates users about preventive healthcare, disease symptoms, vaccination schedules, and outbreak alerts. The system uses datasets hosted on GitHub and provides easy web access, designed to support rural and semi-urban communities.
View ProjectCodeAlpha_IrisFlowerClassification
September 1, 2025 – Present
I implemented the Iris Flower Classification project using Python and Scikit-learn. The model classifies Iris flowers into Setosa, Versicolor, or Virginica based on sepal and petal measurements. The dataset was trained using Logistic Regression, achieving high accuracy, and the model can also predict results for manual inputs.
View ProjectWeather-Aware-Market-Trend-Analysis-for-Crops
August 13, 2025 – August 13, 2025
AgriPredict is a weather-aware crop market trend analysis system that combines historical pricing data, seasonal weather patterns, and predictive modeling to forecast price changes and market risks. Through its interactive Streamlit dashboard, it helps farmers, traders, and policymakers make smarter, data-driven agricultural decisions.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards AI/ML and data science, primarily using Python. While there are a few projects involving JavaScript/TypeScript and PHP, the overall focus does not strongly align with a dedicated 'Frontend Developer' role. The diversity of personal projects indicates initiative and a willingness to explore different technologies, which can be a positive cultural fit for an innovative environment, but the direct relevance to the target role is limited.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.