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Entry-level AI Engineer with 1 month of web development experience and strong data analysis skills.
Highly motivated and results-oriented individual with a recent Web Development Internship focusing on building responsive and user-friendly websites using modern technologies like HTML, CSS, JavaScript, and React.js. Possesses a strong foundation in data analytics tools such as Python, SQL, Tableau, and Power BI, complemented by experience in data cleaning, visualization, analytical thinking, and statistical methods. Proven ability to apply machine learning algorithms to real-world problems, as demonstrated in a project on annual rainfall prediction. Committed to continuous learning and eager to contribute technical and problem-solving skills to a dynamic team.
PSGR KRISHNAMMAL FOR WOMENS
B.Sc Mathematics · Mathematics
August 1, 2022 – June 30, 2025
ARC matric higher secondary school
12th
June 1, 2020 – May 31, 2022
ARC matric higher secondary school
10th
N/A – May 31, 2020
NXT LOGIC SOFTWARE SOLUTIONS
Web development intern
June 18, 2024 – July 21, 2024
India
Annual Rainfall prediction
June 1, 2026 – Present
This study explores and compares the performance of three machine learning algorithms Linear Regression, Support Vector Regression (SVR), and Decision Tree Regression implemented in python. In this study, historical rainfall datasets are preprocessed and fed into each regression model to assess their performance of rainfall amounts. Model evaluation is based on metrics such as Mean Squared Error (MSE) and R-squared (R2) to quantify accuracy and efficiency. A comprehensive comparative study serves as an essential tool for systematically analyzing and evaluating multiple entities. By drawing comparisons, the study not only reveals the strengths and weaknesses of each subject but also provides valuable insights into how different variables interact and influence outcomes. In this project, we have done a comparative study to analyse rainfall in Tamilnadu using models like Decision Tree Regression, Support Vector Regression (SVR), and Linear Regression. The findings highlight the potential of Decision Tree Regression as a useful tool for predicting rainfall in this region, providing valuable insights for agricultural planning, water management, and disaster preparedness.
Data analytics with spreadsheets and SQL
Unknown
June 1, 2026 – Present
Futureskills prime - digital 101 journey
Unknown
June 1, 2026 – Present
Data science with Python, AI and development
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate shows a strong interest in learning and development, as evidenced by multiple certifications and an academic project in AI/ML. The web development internship, while not directly AI-focused, demonstrates versatility and a willingness to explore different technical domains. This breadth of interest and proactive learning aligns well with a culture that values continuous growth and adaptability. However, the limited professional experience means cultural fit is largely based on academic and self-driven initiatives.
Soft Skills & Operational Fit
The candidate's interests include leadership, teamwork, problem-solving, and being a quick learner, which are positive indicators for operational fit. The internship experience also highlights collaboration and agile development practices. However, the overall experience level is very low, which might impact immediate operational effectiveness in a senior AI Engineer role.