Continuous Improvement Data Analyst

Swapna Batra

Data Analyst

* Flower Mound, TX ***28 530-***-**** # Email ï LinkedIn § GitHub

EDUCATION

University of Texas at Dallas Aug 2022 – May 2024

Master of Science in Mathematics, specializing in Data Science Dallas, TX Coursework: Probability & Statistics in Data Science and Analytics, Machine Learning, Deep Learning, Applied Mathematics, Big Data Management & Analytics

Indira Gandhi National Open University Aug 2016 – Dec 2020 Bachelor of Science in Mathematics Delhi, India

Coursework: Linear Algebra, Advanced Calculus, Probability & Statistics, Differential Equations, Analytical Geometry SKILLS

Analysis & Visualization: Tableau, Advanced Microsoft Excel, PowerPoint, Matplotlib, Scikit-learn Programming Languages: Python (Pandas, NumPy), SQL Statistical Methods: Regression, Hypothesis Testing, ANOVA, Predictive Analytics Cloud Computing: Databricks, PySpark

EXPERIENCE

IncedoInc Jul 2023 – Sep 2023

Data Scientist & Analytics Intern Florham Park, NJ

• Applied Python and statistical techniques to analyze complex datasets, uncovering actionable insights for sports analytics. Achieved 96% forecast accuracy, enabling data-informed decision making and improving team performance metrics.

• Collaborated with senior data scientists on developing and optimizing a language model-based AI-driven chatbot, improving search efficiency by 98% and enhancing customer experience.

• Collaborated with cross-functional teams to align technical solutions with business objectives and enhance product usability.

• Designed Tableau dashboards for reporting, optimizing decision-making processes, and reducing manual work by 40%. Hallmark Aviation Services Jan 2022 – Mar 2023

Operations Analyst Dallas, TX

• Analyzed 300+ flight records to identify bottlenecks in the flight control process and implemented targeted strategies, boosting flight turnaround times and optimizing resource allocation.

• Utilized SQL to perform advanced statistical analysis on airline operations data, driving a 27% reduction in delays, generating an estimated revenue growth of 15% through improved customer retention and operational cost savings.

• Created Tableau dashboards to visualize operational bottlenecks, driving a 27% reduction in flight delays and enhancing resource allocation strategies.

Phantom Logistics LLC Mar 2021 – Nov 2021

Data Analyst Yuba City, CA

• Leveraged predictive analytics models to optimize delivery schedules, enhancing operational efficiency and achieving a 15% increase in profitability through refined pricing strategies.

• Utilized SQL to analyze over 10,000 transactions, identifying trends and developing predictive models that improved delivery success rate by 25%.

• Generated KPI-focused reports using Tableau, equipping stakeholders with insights that increased product sales by 30% and enhanced operational risk management.

PROJECTS

Exploratory Analysis of Data Matplotlib, Scikit-learn Aug 2023 – Dec 2023

• Performed detailed exploratory data analysis (EDA) on a comprehensive retail sales dataset, uncovering key sales trends and patterns across 50,000+ transactions.

• Delivered actionable business recommendations that led to a projected 15% improvement in sales performance through data-driven insights.

Sentiment Analysis NLP, NumPy Mar 2024 – May 2024

• Developed an SVM model using Natural Language Processing (NLP) techniques, achieving 89% accuracy.

• Transformed product development and customer satisfaction strategies by identifying positive and negative feedback. Agricultural Product Classification Databricks, PySpark, Scikit-learn Mar 2024 – May 2024

• Built K-means clustering via MapReduce technique to categorize bean varieties, demonstrating Big data manipulation.

• Predicted different classes of beans, achieving an accuracy of 96.2%, enhancing agricultural product classification.

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