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Arun Kumar

Arun Kumar

Aspiring Data Scientist | ML Enthusiast | BI & Data Analyst

Talent
HyderabadMember since June 7, 2026
ClassificationRegressionNLPModel EvaluationScikit-learnPandasNumPyMatplotlibNLTKPower BIDAXData ValidationMySQL
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ClassificationRegressionNLPModel EvaluationScikit-learn

About

Hello everyone, My name is Arunkumar Sunkara from Vishakapatanam. I am a passionate Data Science with hands-on experience in Machine Learning, Data Analysis, and Business Intelligence. Proficient in Python (Pandas, NumPy, Scikit-learn), SQL, and Power BI for creating impactful dashboards and predictive models.

Currently pursuing my degree at Central University of Andhra Pradesh. I have worked on projects involving:

Predictive modeling for healthcare/medical data

End-to-end ML pipelines

Interactive Power BI dashboards for data visualization

Actively seeking Junior Data Scientist, ML Engineer, AI/ML Intern, Power BI Developer, and Medical Data Scientist roles.

Strong interest in applying AI/ML to solve real-world problems, especially in the healthcare domain.

Open to opportunities in Hyderabad, Mumbai, Bangalore, and remote roles.

Let's connect if you're hiring for data/AI positions!

#DataScience #MachineLearning #PowerBI #Python #HealthcareAnalytics

Experience

BI & Reporting Intern_Batch 13 at Infosys Springboard 6.0 (2026-01 – 2026-03)

  • Developed and maintained Power BI dashboards for KPI monitoring and reporting analysis, Performed SQL-based data extraction, transformation, and reconciliation on large datasets.
  • Conducted data validation and QA checks to improve reporting accuracy and consistency, Supported reporting cycles, pipeline monitoring, and anomaly identification processes.

Machine Learning Intern at HAAI — IIT Kharagpur AI4ICPS & TCS iON (2023-01 – 2023-06)

  • Developed and compared 4 ML models (Logistic Regression, Decision Tree, Random Forest, SVM) for binary classification, achieving 87% accuracy on held-out test data.
  • Documented model evaluation metrics (accuracy, precision, recall, ROC-AUC) and presented findings to senior data scientists, directly informing business strategy.
  • Preprocessed data including handling missing values, encoding categorical variables, and scaling numerical features to ensure clean model inputs.

Education

B.Sc. in Software Development – Tata Institute of Social Sciences (2021-10 – 2024-07)

M.Sc. in Artificial Intelligence & Data Science – Central University of Andhra Pradesh (2024-09 – 2026-07)

Skills

Aspiring Data ScientistML EnthusiastBI & Data Analyst

Reviews

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