Vicky Gowda
@vickygowda
Junior data scientist skilled in Python, ML, SQL, and data-driven problem solving.
What I'm looking for
I am a junior data scientist with hands-on experience in Python, SQL, machine learning, and data visualization, focused on delivering actionable insights from complex datasets.
I have built and compared regression and classification models—Linear, Lasso, Ridge, Random Forest, XGBoost, AdaBoost, and logistic regression—achieving results such as 92% accuracy on a car-price prediction project and 85% accuracy on an attrition prediction model.
My projects include car price prediction, HR analytics and attrition reduction, and an AI healthcare chatbot using NLP that automated answers to 80% of common patient questions; I prioritize rigorous EDA, feature engineering, and clear stakeholder impact.
Experience
Work history, roles, and key accomplishments
AI Engineer
Personal Project
Sep 2024 - Jan 2025 (4 months)
Developed an AI healthcare chatbot using NLP that automated answers to 80% of common patient queries and reduced response time from minutes to seconds, improving 24/7 access and patient engagement.
Data Scientist
Varcon Technology
Developed employee attrition forecast models using logistic regression, Random Forest, and XGBoost achieving 85% accuracy; identified top three attrition drivers enabling HR interventions that reduced turnover risk by 15%.
Data Scientist
AI Variant
Built and compared regression models (Linear, Lasso, Ridge, Random Forest, XGBoost, AdaBoost) to predict car prices with 92% accuracy; performed data cleaning, EDA, and feature engineering to identify key price drivers for resale appraisal.
Education
Degrees, certifications, and relevant coursework
Government Engineering College Chamarajanagar
Bachelor of Engineering, Computer Science and Engineering
2021 - 2025
Pursuing a Bachelor of Engineering in Computer Science and Engineering with coursework and projects in data science, machine learning, and software development.
Availability
Location
Authorized to work in
Job categories
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