KILLADA VASUDEVARAO
@killadavasudevarao
Junior Data Scientist building predictive models and data stories with Python, SQL, and machine learning.
What I'm looking for
I’m an analytical Data Science professional with a strong foundation in data cleaning, exploratory data analysis, and advanced visualization. Through internships, I automated data workflows by 40% and turned complex datasets into actionable insights using Python, R, and SQL.
I build predictive models with Scikit-Learn, Random Forest, Gradient Boosting, and Deep Neural Networks, and I focus on reliable pipelines using Git/GitHub for reproducibility. At Datavalley, I reduced data preparation time by 30%, improved processing efficiency by 40% with SQL and Apache Spark, and helped stakeholders understand trends through Tableau and Power BI dashboards.
I enjoy delivering compelling data stories that support strategic decision-making, backed by strong presentation and stakeholder communication. I’m currently strengthening my end-to-end capabilities through ongoing Data Science training and hands-on machine learning pipeline work.
Experience
Work history, roles, and key accomplishments
Data Science Intern
Datavalley
Jul 2024 - Sep 2024 (2 months)
Streamlined data cleaning for large-scale datasets using Python and R, reducing data preparation time by 30%. Automated data workflows with SQL and Apache Spark, improving processing efficiency by 40% and building Tableau/Power BI dashboards and predictive models reaching 85% accuracy.
AI-ML Virtual Intern
AICTE
Dec 2022 - Feb 2023 (2 months)
Built Python data preprocessing scripts for machine learning training and evaluation, improving reliability by 15% through EDA-driven handling of outliers and missing values. Developed visualization prototypes with Matplotlib and completed 10+ AI/ML assessments while earning top-tier virtual intern performance.
Education
Degrees, certifications, and relevant coursework
Dadi Year Institute of Engineering and Technology
Bachelor of Technology (B.Tech), Computer Science & Engineering (Data Science)
2021 - 2025
Grade: CGPA: 7.86/10.0
Pursued a B.Tech in Computer Science & Engineering with a Data Science focus, gaining foundations in core CS and data-oriented coursework. Earned a CGPA of 7.86/10.0.
Narayana Junior College
Intermediate, Mathematics, Physics, Chemistry (MPC)
2018 - 2020
Grade: 72%
Completed Intermediate education with Mathematics, Physics, and Chemistry (MPC). Scored 72%.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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