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Data Science with less than a year in Machine Learning & Data Visualization
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated and detail-oriented M.Sc. Data Science student at Bharathidasan University with a strong foundation in Physics and a passion for data-driven problem solving. Proficient in Python, Machine Learning, Deep Learning, SQL, Big Data Analytics, Tableau, and Data Visualization. Eager to apply analytical skills and technical knowledge to real-world challenges.
Bharathidasan University, Trichy
M.Sc. Data Science · Data Science
August 1, 2024 – June 30, 2026
PRIST University, Thanjavur
B.Sc. Physics · Physics
N/A – June 30, 2023
Govt. Higher Secondary School, Killukkottai
12th Standard
N/A – May 31, 2020
Govt. Higher Secondary School, Killukkottai
10th Standard
N/A – May 31, 2018
AI-Based Agriculture Sales Prediction
June 23, 2026 – Present
Developed an AI-powered web application to predict agriculture product sales using machine learning algorithms. Implemented supervised learning models (Random Forest, Linear Regression) to analyse historical sales data and forecast future trends. Built an interactive Streamlit web interface enabling real-time input and instant prediction output. Performed data preprocessing, feature engineering, and model evaluation to ensure high prediction accuracy. Created insightful data visualizations using Matplotlib and Seaborn to communicate trends and model performance.
Cultural Fit Analysis
The candidate's academic project demonstrates initiative and practical application of data science skills. The pursuit of a Master's degree in Data Science aligns well with a growth-oriented culture. However, the lack of diverse project experience (only one academic project listed) and professional work experience limits the assessment of broader cultural fit and adaptability to different team environments or business contexts. The skills listed are highly relevant to the target role, but the breadth of application is currently narrow.
Soft Skills & Operational Fit
The candidate's resume indicates a 'motivated and detail-oriented' individual with a 'passion for data-driven problem solving'. The project description suggests an ability to work through a complete data science lifecycle from data preprocessing to model deployment (via Streamlit). However, without specific behavioral or psychometric test results, it is difficult to assess operational fit, stress handling, or team collaboration skills.