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Data Science with 1+ years in Machine Learning, Predictive Analytics & Statistical Modeling
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Scientist and AI Engineer with 1 year of internship experience in machine learning, predictive analytics, statistical modeling, and data visualization. Proficient in Python, SQL, and AI tools, delivering forecasting, classification, and risk assessment solutions.
ExcelR Solutions
Master's Program · Data Science
August 1, 2025 – June 30, 2026
St. Martin Engineering College
B.Tech. · Artificial Intelligence & Data Science
N/A – June 30, 2025
Reliance Industries
Stock Price Forecasting
May 1, 2026 – Present
India
AI Variant
Data Scientist Intern
November 1, 2025 – May 1, 2026
India
Logistic Regression on Diabetes Dataset
October 1, 2025 – December 1, 2025
Designed a diabetes risk assessment system using patient healthcare data and statistical analysis. Identified key diabetes risk factors and evaluated model performance using ROC-AUC metrics.
View ProjectXGBoost & LightGBM Prediction System
July 1, 2025 – September 1, 2025
Implemented an ensemble-based prediction framework using XGBoost and LightGBM for structured data analysis. Optimized model performance through hyperparameter tuning and feature importance analysis.
View ProjectMaster's Program in Data Science
ExcelR Solutions
April 1, 2026 – Present
Best Final Year Project Award – Blockchain-Based E-Vault System
St. Martin Engineering College
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's projects and experience demonstrate a strong alignment with the Data Science target role, covering various aspects like risk prediction, forecasting, and general predictive analytics. The diversity of projects (diabetes risk, bankruptcy prediction, stock price forecasting) indicates adaptability and a broad interest within the data science domain. The 'Best Final Year Project Award' suggests an innovative mindset and a drive for high-quality outcomes, which could be a positive cultural fit.
Soft Skills & Operational Fit
The candidate's resume indicates a focus on technical skills and project execution. While specific soft skills are not explicitly detailed, the project descriptions suggest an ability to apply theoretical knowledge to practical problems. The academic and internship experiences show a structured approach to problem-solving in data science.