Arjun Selvakumar
M.Sc. Data Science Student
About Me
About
Currently pursuing an M.Sc. in Data Science at Friedrich-Alexander-Universität Erlangen–Nürnberg (FAU), building on a B.Tech in Artificial Intelligence & Data Science from Rajalakshmi Institute of Technology, Chennai.
Experienced in end-to-end data science workflows — data cleaning, preprocessing, exploratory data analysis, statistical modeling, and predictive modeling — through a Data Science internship at DLK Software Solutions and a Data Science Lab work-study at Rajalakshmi Institute of Technology.
Works across Python, SQL, and Java, with hands-on experience in PyTorch for deep learning, and Power BI, Qlik Sense, and Tableau for business intelligence and dashboarding.
Languages
- GermanB1
- EnglishIELTS: 7
Career
Experience
Data Science Intern
08/2025 – 01/2026DLK Software Solutions
- Contributed to end-to-end Data Science and Machine Learning projects, including data cleaning, data preprocessing, and Exploratory Data Analysis (EDA).
- Performed data analysis and statistical modeling using Python, Pandas, NumPy, and Matplotlib to identify patterns, trends, and actionable insights.
- Developed and deployed predictive models for classification and regression using supervised Machine Learning algorithms.
- Conducted model validation, performance evaluation, and optimization using metrics such as Accuracy, Precision, Recall, and F1-score.
- Delivered insights through data visualization, analytical reporting, and stakeholder communication, supporting data-driven business decisions.
Work-Study – Data Science Lab
12/2023 – 05/2024Rajalakshmi Institute Technology
- Executed end-to-end Data Analytics and Predictive Modeling projects, including data preprocessing, feature engineering, and EDA using Python.
- Designed and developed interactive Business Intelligence (BI) dashboards using Power BI, Qlik Sense, and Tableau to monitor KPIs, trends, and performance metrics.
- Implemented ETL pipelines, data transformation, data modeling, and DAX calculations for multi-source data integration and reporting automation.
- Applied Visual Analytics, dashboard optimization, and structured reporting to enhance decision support systems and business intelligence processes.
Selected Work
Projects
Healthcare Operations Dashboard – Power BI
08/2025 – 09/2025
- Designed an interactive Power BI dashboard to analyze patient waiting lists and healthcare KPIs.
- Implemented dynamic filters and slicers (time period, case type, specialty) for targeted analysis and self-service reporting.
- Visualized average & median waiting times, YoY comparisons, trend analysis, and ranking of specialties.
- Enabled data-driven decision-making through structured Healthcare Analytics and KPI reporting.
Customer Churn Prediction – Machine Learning Project (Team Lead)
06/2024 – 11/2024
- Led a Machine Learning project to predict customer churn using behavioral, demographic, and transactional data.
- Performed data preprocessing, data cleaning, feature engineering, and exploratory data analysis (EDA) to prepare structured datasets.
- Developed and compared multiple classification models (e.g., Logistic Regression, Decision Trees, Random Forest) for predictive modeling.
- Evaluated model performance using Accuracy, Precision, Recall, F1-score, ROC-AUC, and Confusion Matrix, applying hyperparameter tuning and model optimization techniques.
- Generated actionable insights and predictive analytics reports to support customer retention strategies, risk assessment, and data-driven business decision-making.
Toolbox
Skills
Programming Languages
MS Office Suite
Data Analysis & Visualization
Big Data Tools
Soft Skills
Academics
Education
Master of Science (M.Sc.) in Data Science
Friedrich-Alexander-Universität Erlangen–Nürnberg (FAU)
Erlangen, Germany
Grade: 2.7 (German grading system)
Bachelor of Technology (B.Tech) in Artificial Intelligence & Data Science
Rajalakshmi Institute of Technology
Chennai, India
German Grade Equivalent: 2.15 · CGPA: 8.15 / 10
Diploma in Python Programming
Computer Software College
Chennai, India
Grade: A
Certifications & Courses
Power BI
Simplilearn
11/2024 – 12/2024
Machine Learning
Sololearn
07/2022 – 08/2022
Master Course For Python Programming
Pantech E-Learning Pvt. Ltd
04/2022 – 05/2022
Deep Learning
Research
Pneumonia Detection using Deep Learning (PyTorch)
10/2025 – 01/2026
- Developed a Convolutional Neural Network (CNN) using PyTorch for automated medical image classification of chest X-rays.
- Applied data preprocessing, normalization, data augmentation, and class imbalance handling to improve model robustness.
- Utilized Transfer Learning (ResNet / EfficientNet) to enhance model performance and reduce training time.
- Evaluated model performance using Accuracy, Precision, Recall, F1-score, Confusion Matrix, and ROC-AUC.
- Applied Hyperparameter Tuning, Regularization, Dropout, and Early Stopping to prevent overfitting.
- Visualized training and validation metrics to support data-driven insights in healthcare AI applications.
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