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Data Science with less than a year in Data Science & Machine Learning
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Innovative and driven Computer Science student seeking a challenging role in a reputable organization to apply my technical, database and management skills for mutual growth. Eager to contribute to the organization's success while expanding my knowledge of emerging trends in the IT sector.
Malla Reddy University
B. Tech · Computer Science & Engineering
August 1, 2021 – June 30, 2025
Predictive Analysis of Energy Consumption in Vehicles
June 1, 2026 – Present
Implemented a Random Forest model to predict vehicle energy consumption with an accuracy of 85%. Conducted data preprocessing, feature engineering, and applied predictive analytics for optimization. Processed large data and developed models using NumPy, Pandas and scikit-learn to enhancing data-driven decisions. Developed interactive dashboards in Power BI, improving data visualization.
Movie Rating Analysis
June 1, 2026 – Present
Analyzed IMDb movie data to identify trends in audience preferences and high-rated genres. Visualized key insights using Python libraries like Matplotlib and Seaborn to showcase rating distributions. Explored director and actor influence on movie success based on IMDb ratings and audience reception. Generated data-driven recommendations for understanding factors contributing to top-rated movies.
Programming in Java – NPTEL
NPTEL
June 1, 2026 – Present
Python Programming – Coursera
Coursera
June 1, 2026 – Present
SQL - Coursera
Coursera
June 1, 2026 – Present
Web Development – Coursera
Coursera
June 1, 2026 – Present
Cultural Fit Analysis
The candidate is an active participant in extracurricular activities and a volunteer, suggesting a collaborative and engaged personality. The diversity of projects (predictive analysis, movie rating analysis) and certifications (Java, Python, SQL, Web Development) indicates a broad interest in technology and a willingness to learn across different domains, which can contribute positively to a dynamic team environment. However, the lack of professional experience makes it difficult to fully assess cultural fit in a corporate setting.
Soft Skills & Operational Fit
The candidate's resume highlights strong analytical and logical reasoning, problem-solving, adaptability, and time management. These soft skills are beneficial for a data science role, which often requires critical thinking and iterative problem-solving. The academic projects demonstrate an ability to work with data and present findings, which aligns with operational requirements.