Data Science with less than a year in Machine Learning & NLP
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated B.Tech fresher with internship experience in Python development, machine learning, and SDLC-aligned delivery. Skilled in Python, SQL, ML, OOP, and DSA with practical exposure to building NLP pipelines, GenAI applications, and deploying data-driven solutions. Strong analytical mindset with good problem-solving, documentation, and collaboration abilities.
Rajiv Gandhi University of Knowledge Technologies
B.Tech · Electronics & Communication Engineering
November 8, 2021 – September 23, 2025
Rajiv Gandhi University of Knowledge Technologies
PUC · Mathematics, Physics & Chemistry (MPC)
June 1, 2019 – May 31, 2021
AI Variant
Data Science Intern
July 1, 2025 – October 1, 2025
India
Customer Churn Predictor with Explainable AI
June 1, 2026 – Present
Developed a churn prediction model on the Telco dataset (7000+ records) - applied SMOTE and scale_pos_weight to handle class imbalance; final XGBoost model reached 83% accuracy and 0.87 AUC-ROC. Compared Logistic Regression, Random Forest, and XGBoost through stratified K-fold cross-validation; picked the best model based on recall and F1-score since catching churners matters more than avoiding false alarms. Used SHAP to show why the model flags specific customers; built a Streamlit dashboard for single predictions, batch CSV uploads, and customer retention suggestions.
Data Science Professional
ExcelR
June 1, 2026 – Present
Python Programming
CodingRaja
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a proactive approach to learning and applying data science concepts, aligning with an innovative and problem-solving culture. The internship experience shows an ability to work in a structured environment and follow Agile workflows. The breadth of skills and project diversity, including both traditional ML and GenAI, suggests adaptability and a willingness to explore new technologies.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to communicate technical findings through visual reports and documentation. The psychometric test score suggests a moderate level of logical reasoning and work attitude, but specific details on stress handling and team collaboration are not explicitly strong. The English test score indicates average communication clarity.