Summary
Overview
Work History
Education
Skills
Accomplishments
Projects
Leadership Soft Skills
Capstone Project
Timeline
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Sai Goutham Chiriki

Sunnyvale

Summary

Business Analyst and Data Analytics professional with a proven track record in leveraging data to drive strategic decision-making. Skilled in predictive modeling, data cleaning, dashboard development, and business process optimization. Experienced in working with cross-functional teams, managing stakeholders, and delivering analytics solutions that improve efficiency and outcomes. Strong academic foundation in business analytics, backed by hands-on experience in both corporate and academic settings. Adept at using Python, SQL, and Tableau for analytical storytelling and actionable insight delivery.

Overview

3
3
years of professional experience

Work History

Capstone Project

Christus Health
01.2021 - 05.2021
  • Built statistical and machine learning models to identify patients at high risk for hospital readmission.
  • Utilized Python for data preprocessing and model development, including logistic regression and decision trees.
  • Created Tableau dashboards to deliver visual insights into operational bottlenecks and patient outcome KPIs.
  • Helped reduce readmission prediction error by over 20%, aiding hospital administrators in decision-making.

Software Engineer

Siris Electrik Corporation
Visakhapatnam
08.2019 - 01.2021
  • Conducted extensive data analysis to optimize forecasting accuracy, contributing to a 15% increase in operational predictability.
  • Developed and implemented Python-based models to predict equipment maintenance schedules and cost trends.
  • Created Tableau dashboards to visualize key performance indicators and operational trends for senior leadership.
  • Assisted in the development and optimization of data pipelines used to process structured and semi-structured data.
  • Coordinated with cross-functional stakeholders including engineering, production, and finance to ensure the integrity and accuracy of analytics models.

Intern - Embedded Systems

ECIL
Hyderabad
05.2018 - 07.2018
  • Worked on embedded hardware interfacing for control systems and performed diagnostic testing.
  • Documented technical specifications for firmware and developed support scripts in C for system stability.
  • Assisted senior engineers in evaluating real-time system behavior and hardware-software synchronization.

Education

Master of Science - Business Analytics

University of Texas at Arlington
Arlington, TX
12.2023

Bachelor of Technology - Electronics and Communication Engineering

GITAM University
Andhra Pradesh, India
05.2019

Skills

  • Python
  • SQL
  • Java
  • C
  • C
  • JavaScript
  • HTML
  • R
  • Tableau
  • Jupyter Notebook
  • Git
  • MS Excel
  • BPM
  • ERP systems
  • Eclipse IDE
  • MySQL
  • MS SQL Server
  • Data Cleaning
  • Predictive Modeling
  • Business Requirement Analysis
  • Dashboard Development
  • Agile Methodologies

Accomplishments

  • Achieved a 15% improvement in forecasting accuracy at Siris Electrik using data-driven techniques.
  • Delivered end-to-end capstone analytics solution for Christus Health reducing readmission rates.
  • Developed academic Hadoop-based analytics pipeline for IMDB that demonstrated scalable big data solutions.

Projects

IMDB Data Genre Trend Analysis using Hadoop MapReduce, Implemented MapReduce logic to analyze large-scale IMDB movie datasets., Extracted meaningful trends around genre popularity over time and visualized results using matplotlib., Demonstrated the application of distributed computing in media analytics.

Leadership Soft Skills

  • Exceptional communication and presentation skills with the ability to explain technical concepts to non-technical stakeholders.
  • Experience in requirements gathering, process design, and translating business problems into analytical solutions.
  • Proven ability to work independently and collaboratively in Agile/Scrum environments.
  • Commitment to continuous learning and ups-killing through workshops, certifications, and online coursework.

Capstone Project

Healthcare Analytics, Christus Health, Spring 2021, Built statistical and machine learning models to identify patients at high risk for hospital readmission., Utilized Python for data preprocessing and model development, including logistic regression and decision trees., Created Tableau dashboards to deliver visual insights into operational bottlenecks and patient outcome KPIs., Helped reduce readmission prediction error by over 20%, aiding hospital administrators in decision-making.

Timeline

Capstone Project

Christus Health
01.2021 - 05.2021

Software Engineer

Siris Electrik Corporation
08.2019 - 01.2021

Intern - Embedded Systems

ECIL
05.2018 - 07.2018

Master of Science - Business Analytics

University of Texas at Arlington

Bachelor of Technology - Electronics and Communication Engineering

GITAM University
Sai Goutham Chiriki