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Data Science with less than a year in predictive modeling & data analysis.
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 professional with hands-on experience in data collection, preprocessing, feature engineering, and exploratory data analysis. Skilled in building predictive models, achieving 96.9% accuracy using Linear Regression. Strong analytical abilities with expertise in Python, Pandas, NumPy, and Scikit-Learn. Adept at converting data insights into actionable recommendations to support project decision making.
Annai College of Engineering and Technology
Computer Science and Engineering · Computer Science and Engineering
January 1, 2022 – January 1, 2026
Gradtwin Software Company
Detail-oriented Data Science professional
August 25, 2025 – November 21, 2025
Chennai, Tamil Nadu, India
World Ocean Plastic Pollution Prediction
January 1, 2026 – Present
Collected Oceanographic data and cleaned raw data, applied feature engineering, and performed EDA Developed a machine learning based model with high accuracy to predict Ocean pollution level using environmental and chemical data Delivered insights to help identify high risk pollution zones and support sustainability focused decision
View ProjectRetail Sales Forecasting
January 1, 2026 – Present
Performed data cleaning, preprocessing, and feature engineering on retail sales data to prepare it for analysis and modeling. Applied data science techniques using Random Forest Regressor to analyze patterns and generate accurate sales predictions, evaluated with R2 Score, MAE and RMSE. Developed an interactive dashboard using Streamlit to visualize insights and provide real-time prediction based on user input
Internship completion certificate.
Unknown
June 1, 2026 – Present
Project completion certificate.
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internship demonstrate a foundational understanding of data science principles and applications, aligning with a Data Science role. The projects cover diverse areas like environmental prediction and retail sales forecasting, indicating adaptability. However, the experience level is entry-level (internship and academic projects), which might require significant mentorship and integration into a senior-level team culture. The breadth of skills listed is good for an entry-level candidate, but deeper specialization is needed for senior roles.
Soft Skills & Operational Fit
The candidate's resume highlights a 'detail-oriented' approach and collaboration with mentors, suggesting a capacity for thoroughness and teamwork. The project descriptions indicate an ability to deliver actionable insights, which is crucial for operational impact. However, without specific psychometric test results, a deeper assessment of stress handling, logical reasoning, and team collaboration is not possible.