nandith burla
@nandithburla
Data science undergraduate skilled in predictive modeling, visualization, and building data-driven solutions.
What I'm looking for
I am an analytical and motivated Data Science undergraduate with hands-on experience in Python, SQL, Power BI, and Tableau, focused on turning raw data into actionable insights. I have built high-accuracy predictive models, designed automated dashboards, and applied model tuning and feature engineering to improve performance on real-world projects.
My projects include an EV range prediction model (R² 0.978) and a content-based movie recommender that increased engagement by 25%. I freelance to deliver data cleaning, EDA, A/B testing, and reporting automation that measurably improve outcomes, and I am seeking roles in Data Science or Business Analytics where I can drive data-driven decisions.
Experience
Work history, roles, and key accomplishments
Data Science Intern
Lovely Professional University
Jun 2025 - Present (1 year)
Built a high-accuracy predictive model for EV range forecasting using EDA, feature selection, and model tuning; visualized performance with Power BI dashboards to inform stakeholders.
Freelance Data Analyst
Freelancer
Analyzed datasets to extract insights, performed data cleaning and EDA to boost model accuracy by 20%, built automated dashboards, and applied A/B testing and statistical analysis to improve performance by 15%.
Education
Degrees, certifications, and relevant coursework
Lovely Professional University
Bachelor of Technology (Hons.), Computer Science and Engineering
Grade: CGPA: 6.71
B.Tech (Hons.) in Computer Science and Engineering with coursework and projects focused on data science, machine learning, and visualization.
Narayana Junior College
Higher Secondary/Intermediate, Physics, Chemistry, Mathematics (PCM)
Grade: 92.3%
Completed Higher Secondary (Physics, Chemistry, Mathematics) with a strong academic record.
Sarvagna EM High School
Matriculation, General Secondary Education
Grade: 99.9%
Completed matriculation with high academic achievement.
Availability
Location
Authorized to work in
Job categories
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