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Divya Virkud

Data Science Fresher | Python • XGBoost • NLP • Streamlit | Open to Work

India

< 1 year of work experience

Ai Variant
Jan 202510 mosOct 2025

Worked on 3 end-to-end ML projects in a collaborative team environment covering data collection, preprocessing, feature engineering, and model evaluation. - Built customer segmentation model using K-Means and DBSCAN on 2,240 customer records, producing 4 behavioral clusters with actionable marketing insights - Developed oil price forecasting model using SARIMA achieving RMSE of 14.23 on validation set across 2,548 daily records - Applied Python, Scikit-learn, Pandas, and Streamlit throughout the full ML pipeline from data cleaning to model deployment

Education

Master of Science, Information Technology

D.G.Tatkare Mahavidyalay Arts, Science & Commerce Degree

20232 yrs2025

Bachelor's of Science, Computer Science

Anjuman Islam Janjira Degree college of Science

20203 yrs2023

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Headline

Data Science Fresher | Python • XGBoost • NLP • Streamlit | Open to Work

About

M.Sc. IT graduate with 10 months of data science internship experience at AiVariant and a strong foundation in machine learning, NLP, and Python. Independently built Fake Job Detector — a fraud detection system using XGBoost achieving 93% F1 score on 17,880 job postings, targeting Indian job market scams. Includes India-specific fraud signals like Aadhar/UPI requests and WhatsApp contact detection. GitHub: github.com/Divya1273 Core Skills: Python | SQL | XGBoost | Scikit-learn | TensorFlow | NLP | Streamlit | SMOTE Open to entry-level roles in Data Science, ML Engineering, and Data Analytics.

Location

India

Work experience

Data Science Intern at Ai Variant, Jan 2025 - Oct 2025 · 10 mos, Worked on 3 end-to-end ML projects in a collaborative team environment covering data collection, preprocessing, feature engineering, and model evaluation. - Built customer segmentation model using K-Means and DBSCAN on 2,240 customer records, producing 4 behavioral clusters with actionable marketing insights - Developed oil price forecasting model using SARIMA achieving RMSE of 14.23 on validation set across 2,548 daily records - Applied Python, Scikit-learn, Pandas, and Streamlit throughout the full ML pipeline from data cleaning to model deployment

Education

Master of Science, Information Technology, D.G.Tatkare Mahavidyalay Arts, Science & Commerce Degree

Bachelor's of Science, Computer Science, Anjuman Islam Janjira Degree college of Science

Divya Virkud - Data Science Intern in India | Tal