Summary
Overview
Work History
Education
Skills
Accomplishments
Certification
Interests
Timeline
Generic

Pavan Singampalli

Summary

  • I’m a motivated data science and analytics student eager to secure a 2025 summer internship. I’m excited to apply my skills in data analysis, statistical modeling, and machine learning to tackle real-world business challenges. I thrive in collaborative, innovative environments and look forward to contributing to data-driven decision-making.

Overview

1
1
year of professional experience
1
1
Certification

Work History

Software Engineer

Tech Beez
Bangalore
01.2022 - 06.2023
  • Optimized SQL database queries, achieving a 15% improvement in API performance
  • Enhanced shortlist processing flow, resulting in a 10% improvement in process efficiency
  • Analyzed customer data using Python and SQL to identify patterns and insights, contributing to a 20% improvement in customer retention
  • Implemented machine learning models (random forest, logistic regression) to predict customer churn with an accuracy of 85%
  • Cleaned, processed, and visualized large datasets, presenting findings to the data science team using Power BI and Tableau
  • Refactored a large monolithic API into modular components, reducing response time by 50% and improving maintainability
  • Managed and processed marketing data from Facebook and Google, delivering actionable insights to drive business analytics and campaign optimization
  • Worked closely with development team members to identify and remove software bugs
  • I also worked closely with the business team to understand key metrics and improve decision-making based on data analysis.

Education

Master’s - Information Systems

University of Maryland Baltimore county Januaury
12.2025

Electronics and Communication

Prist University
03.2019

Skills

  • Programming Languages:
  • Python, C, SQL, PL/SQL
  • Web Technologies:HTML, CSS, React, Java Script
  • Tools:Pytorch, Anaconda, Jupyter Notebook, Pandas, NumPy, SciPy, Scikit-Learn, TensorFlow, Keras
  • Data visualization:Matplotlib, Seaborn, Tableau, Power BI
  • Machine learning :Regression, Classification, Clustering, Decision Trees, Random Forests, SVM, Neural

Accomplishments

  • PROJECTS
  • Diabetes Readmission Prediction Model February 2024 - March 2024 [ ] Developed a machine learning model using Python, Pandas, Scikit-learn, and Matplotlib to predict hospital readmission for diabetic patients
  • Implemented and compared Logistic Regression, Decision Tree, and Random Forest algorithms, achieving 61.17 Utilized data visualization techniques and statistical analysis to identify key predictors and interpret results.

Certification

  • 7.69
  • NRI Junior Kalasala June 2013 - March 2015 Class 12 Visakhapatnam, India Percentage: 63.2, SAS CERTIFICATIONS
  • Certifying Body: Microsoft Certified: Azure Fundamentals August 2024
  • Certifying Body: Java SE 8 Programmer I January 2024
  • Certifying Body: Oracle Database 12c: SQL Fundamentals January 2024

Interests

Baltimore, Maryland - 21043, United States

Timeline

Software Engineer

Tech Beez
01.2022 - 06.2023

Master’s - Information Systems

University of Maryland Baltimore county Januaury

Electronics and Communication

Prist University

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Pavan Singampalli