AI Engineer with less than a year in Python & SQL for data-driven solutions.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring AI&ML Engineer with hands-on experience in building end-to-end machine learning solutions across telecom, healthcare, and finance domains. Skilled in Python, SQL, EDA, feature engineering, and model deployment. Proven ability to translate data insights into actionable business strategies, improving customer retention, risk prediction, and operational efficiency. Passionate about leveraging AI to drive data-informed decisions.
TKR Engineering And Technology
B.Tech · Artificial Intelligence & Machine Learning
November 1, 2020 – April 1, 2024
Bike Rental Demand Prediction
June 13, 2026 – Present
Performed time-series decomposition on hourly and daily rental data, identifying strong seasonality and weather impacts; engineered features from datetime and environmental variables. Developed and compared Linear Regression, Random Forest, and ARIMA models, achieving RMSE of 42 on test set and R2 of 0.85. Conducted residual analysis and hyperparameter tuning to improve forecast accuracy by 12% over baseline. Delivered visual dashboards and insights to support bike redistribution and inventory planning, optimizing resource allocation during peak hours.
Portuguese Bank Marketing Prediction
June 13, 2026 – Present
Cleaned and analyzed bank marketing data from phone campaigns (41k+ records), handling missing values, categorical encoding, and severe class imbalance (target subscription rate ~11%). Engineered features from call history, economic indicators, and client attributes; built and compared Logistic Regression, Random Forest, and XGBoost models. Achieved 79% ROC-AUC and 67% recall for subscribers after applying SMOTE and threshold tuning, enabling more effective targeting of potential customers. Provided marketing team with segment-wise recommendations and optimal contact strategies, projected to increase campaign ROI by 15%.
AI & ML
Vishlesan i-hub, IIT Patna
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a foundational understanding of AI/ML applications in diverse domains (finance, logistics). The target role of 'AI Engineer' aligns well with the candidate's educational background and project experience. The breadth of skills listed (Python, SQL, various ML libraries) suggests adaptability. However, without more diverse project types (e.g., open-source contributions, team projects) or work experience, a deeper assessment of cultural fit is limited.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on practical problems and deliver business-oriented solutions. The focus on ROI and operational efficiency suggests a results-driven approach. However, without specific behavioral or psychometric test results, it is difficult to assess stress handling, teamwork, or other soft skills comprehensively.