Aryan Mot

I’m a data-focused Python professional with experience in Python, SQL, EDA, data preprocessing, BI dashboards, and machine learning project development. I build end-to-end solutions that turn messy data into models, explanations, and decision-ready insights.

In my projects, I combined forecasting and ML with clear evaluation and interpretability. I built a churn prediction app using Pandas, Scikit-learn, XG-Boost, and SHAP, and I added SHAP explainability to surface customer-level churn drivers and retention-focused business insights.

I also work with time-series and analytics workflows. I developed a SARIMAX forecasting workflow with stationarity testing, train-test split, and forecast visualization, and I built a Walmart sales forecasting and store performance dashboard to study seasonality, holiday impact, and store performance alongside macro variables.

On the product side, I develop practical AI tools for real matching workflows. I built an AI resume screener and job match ranker with PDF parsing, embeddings, cosine similarity, keyword extraction, missing keyword highlighting, and recruiter-style match outputs for candidate-job fit ranking.