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Sruthi Shanmukhi Patibandla

Data Analyst • United States • s****************@gmail.com • +13******573 • linkedin.com/••••• • drivetube.ai/•••••

Professional Summary

Data Analyst with 5+ years of experience analyzing complex datasets and delivering data-driven insights across customer operations and IT services. Specialized in SQL, Python, Tableau, Power BI, ETL pipeline development, dashboard design, and data visualization to improve reporting efficiency and business performance. Graduate background in Information Security with expertise in data governance, access controls, and compliance-focused analytics. Automated reporting workflows, reducing manual reporting effort by 90%, while enabling faster decision-making through accurate analytics and executive-ready reporting. Skilled at translating business requirements into scalable analytical solutions and presenting actionable insights to cross-functional stakeholders.

Technical Skills

Programming Languages: Python,R
Data Analysis & Visualization: Pandas,NumPy,Matplotlib,Tableau,Power BI,Microsoft Excel
Machine Learning & Statistical Analysis: Scikit-learn,Regression Analysis,Statistical Modeling,Hypothesis Testing,A/B Testing,K-Means Clustering
Databases & Data Warehousing: SQL,MySQL,PostgreSQL,AWS Redshift,Data Modeling
Cloud & Data Engineering: AWS,Azure,AWS S3,AWS Glue,ETL Pipeline Design
Data Analysis & Forecasting: Prophet,ARIMA,Data Cleaning,Data Validation,Exploratory Data Analysis
Version Controls & Methodologies: Git,JIRA,Agile,Scrum

Work Experience

Tech Masters Data Solutions
Remote
Data Analyst
Dec 2023 – Present
Data analytics firm where the analyst powered customer-support operations, giving executives real-time SLA, volume, and agent insights via automated dashboards and an AWS-based data warehouse.
Tech Stack: Tableau, Power BI, Python, Pandas, SQL, AWS Redshift, AWS S3, AWS Glue, CRM Systems, ETL Pipelines, Hypothesis Testing, A/B Testing
  • Analyzed customer support data spanning 50,000+ monthly interactions and 2M+ rows of historical ticket records, identifying resolution patterns that improved first-contact resolution rate and reduced escalations by 300 per month.
  • Designed interactive KPI dashboards in Tableau and Power BI for VP- and director-level stakeholders, enabling real-time visibility into SLA compliance, ticket volume trends, and agent performance across 5 teams.
  • Automated recurring reporting workflows using Python and SQL, eliminating 90% of manual reporting effort equivalent to 15 hours per week and reducing report delivery time from 2 days to under 1 hour.
  • Engineered ETL pipelines integrating data from CRM, ticketing, and billing systems into a centralized AWS Redshift data warehouse, improving cross-team data accessibility and reporting reliability.
  • Implemented data validation and quality control frameworks that raised data accuracy from approximately 82% to 97% across core reporting tables, strengthening trust in executive-level analytics.
  • Conducted A/B tests on support workflow changes using hypothesis testing methodologies including t-tests and chi-square analysis to validate statistical significance before presenting operational recommendations to senior management.
Sriven Informatics
Hyderabad, India
Data Analyst
Mar 2020 – Dec 2022
IT services company; role combined app development and analytics to streamline internal workflows and deliver performance reporting across multiple business units.
Tech Stack: Python, SQL, Pandas, NumPy, Regression Analysis, Exploratory Data Analysis, Agile, JIRA, MySQL, PostgreSQL
  • Developed an internal application tracking system using Python and SQL that streamlined project assignment workflows and reduced average processing time by 40% across a 50-person operations team.
  • Optimized complex SQL queries through strategic indexing, query restructuring, and execution plan analysis on datasets exceeding 10M rows, achieving a 30% improvement in average query performance.
  • Automated weekly and monthly reporting pipelines that reduced manual reporting effort by 60%, freeing the analytics team for higher-value strategic work and enabling more frequent insight cycles.
  • Performed comprehensive exploratory data analysis using Python, applying regression and correlation analysis to surface performance trends across 5+ business units and inform data-driven decisions.
  • Presented analytical findings and performance insights to department heads in bi-weekly business reviews, translating complex statistical outputs into clear, actionable narratives for non-technical audiences.
  • Collaborated with cross-functional teams of members in an Agile environment, translating business requirements into data specifications and delivering sprint deliverables on schedule.

Education

Auburn University at Montgomery
Master of Science in Computer and Information Systems Security • Montgomery, AL • Jan 2023 – May 2024
Jawaharlal Nehru Technological University
Bachelor of Technology in Computer Science and Engineering • Hyderabad, India • Aug 2016 – Oct 2021

Certifications

Google Data Analytics Professional Certificate — Coursera
Microsoft Certified: Power BI Data Analyst Associate — Microsoft

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