Vartika Jangid

I’m a final-year BCA student specializing in Data Science & Data Analytics, and I’ve built hands-on experience through my Data Science internships. I focus on transforming messy data into clear decisions using machine learning, strong data visualization, and end-to-end model development.

At Richsoil, I built a financial dashboard in Power BI backed by PostgreSQL to monitor trade performance and agricultural market metrics. I also developed a CNN model using MobileNetV2 (TensorFlow/Keras) for wheat grain quality detection and grading, and I turned historical mandi data into weekly and monthly reports that support crop and trade planning.

At Celebal Technologies, I worked on a student score prediction regression model using study hours and past exam data. I practiced rigorous data cleaning, preprocessing, and EDA with Pandas and NumPy, and I contributed to structured tasks around feature engineering, model evaluation, and visualization using real-world datasets.

My projects reflect the same mindset: practical, business-ready outcomes. I developed an AI-based wheat quality detection system with an interactive Streamlit interface, built an agricultural market & production analytics dashboard in Power BI, and created multiple predictive models including churn rate classification and house price regression—always evaluating with error/MAE/RMSE and improving via feature selection and experimentation. I’m now eager for an entry-level role where data storytelling and AI can drive real-world impact.