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Data Science with less than a year in Machine Learning & Python.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented Data Science graduate with strong knowledge of machine learning, statistics, and data visualization. Seeking an entry-level Data Scientist role to apply analytical and predictive modeling skills to real-world business problems.
Osmania University
PG diploma · Data science
August 1, 2024 – June 30, 2025
JNTU
B. Tech · E.C.E
August 1, 2020 – June 30, 2024
Calories Burnt Prediction Model
June 27, 2026 – Present
Built regression models to predict calories burned using features like age, weight, duration, and heart rate. Performed data cleaning, EDA, and feature engineering. Implemented Linear Regression, Decision Tree, and Random Forest;
Sales Forecasting Model
June 27, 2026 – Present
Developed predictive models using historical sales data. Improved forecasting accuracy through feature optimization and model tuning.
Customer Segmentation (K-Means Clustering)
June 27, 2026 – Present
Applied clustering to segment customers based on purchasing behavior. Generated insights to support targeted marketing strategies.
Data Science Certification
Unknown
June 1, 2026 – Present
Machine Learning
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate an interest in applying data science to business problems (sales forecasting, customer segmentation). The listed soft skills (team collaboration, communication) suggest a potential for good cultural fit in a collaborative environment. However, the lack of professional experience limits the ability to fully assess cultural fit in a real-world operational setting.
Soft Skills & Operational Fit
The candidate lists analytical thinking, problem-solving, communication, and team collaboration as soft skills. These are generally well-aligned with a Data Science role, which often requires strong analytical capabilities and the ability to communicate complex findings. However, without practical experience or specific examples, the depth of these skills cannot be fully assessed.