Entry-Level Data Scientist position

    Data Scientist (Entry-Level) | United Airlines Business Services Pvt. Ltd. | Full-time | Bachelor’s in Quantitative Field (Master’s/MBA preferred) | Python, R, SQL, Teradata, T-SQL, Predictive Modeling, Machine Learning, Logistic Regression, Random Forest, GBM, Neural Nets, SVM, Hadoop, Spark, Data Analysis, Data Mining, Communication, Optimization

    Contributed to data-driven business solutions by applying advanced analytical techniques and machine learning models. Collaborated with cross-functional teams to extract insights from large, complex datasets to support operational and strategic decisions across airline operations.

    Key Responsibilities:

    • Developed machine learning models using R/Python to solve business problems related to customer behavior, operations, and logistics.
    • Extracted, transformed, and analyzed large-scale structured and unstructured data from SQL and Big Data platforms.
    • Applied algorithms including logistic regression, SVM, random forest, and neural networks for predictive analytics.
    • Translated analytical findings into clear, actionable recommendations for business stakeholders.
    • Supported end-to-end modeling pipeline from data collection to deployment, and monitored model performance over time.

    Tools/Technologies Used: Python, R, Teradata SQL, T-SQL, Hadoop, Spark, Big Data Ecosystem, API Gateway

    Notable Achievements:

    • Delivered insights leading to optimization of airline routes and customer personalization strategies.
    • Created reusable data processing workflows that reduced analytics turnaround time by 25%.
    • Presented analytical results to leadership teams, driving key decisions in customer operations and logistics.
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