Sruthi Prathyusha Gudise
Minneapolis
Summary
Data Analyst with 4+ years of experience in data analysis, business intelligence, and machine learning, delivering data-driven insights to improve business performance. Proficient in Python, SQL, Excel, and BI tools such as Tableau and Power BI for data visualization and reporting. Experienced in automating reporting workflows, building interactive dashboards, and optimizing data processes to enhance operational efficiency. Strong background in statistical analysis, predictive modeling, and data integration, ensuring high data quality and reliability. Proven ability to analyze complex datasets, identify trends, and translate findings into actionable recommendations for stakeholders. Collaborated with cross-functional teams to support decision-making and streamline business operations. Recognized for strong problem-solving skills, attention to detail, and ability to communicate technical insights to non-technical audiences. Passionate about leveraging data to drive strategic decisions and continuous improvement in fast-paced environments.
Overview
4
4
years of professional experience
Work History
Senior Data Analyst
OpulentSoft
Jersey City
10.2025 - Current
- Conducted in-depth analysis on multi-terabyte clinical trial and manufacturing datasets using PySpark and SQL, uncovering trends and performance metrics for informed decision-making.
- Analyzed complex datasets to identify trends and insights for operational improvements.
- Supported ad hoc and scheduled reporting needs for analytics and leadership teams by building scalable pipelines and reusable SQL queries.
- Developed and maintained interactive Power BI dashboards connected to AWS Redshift and Athena, facilitating real-time reporting and data-driven decisions for R&D and operations.
- Improved data accessibility and reporting speed by migrating legacy Oracle datasets to AWS Redshift, reducing query times and enabling faster insights for analysts and stakeholders.
- Designed and implemented secure, reliable data pipelines using AWS S3, Lambda, and EC2 to support business-critical reporting workflows with 99.9% uptime.
- Applied data governance policies and row-level security in Redshift to ensure secure access and compliance across departments.
- Automated version-controlled SQL transformations using DBT and Git, streamlining collaboration with data teams and reducing manual reporting errors.
- Conducted exploratory data analysis (EDA) on pharmaceutical supply chain data to identify bottlenecks and recommend process improvements.
- Participated in GCP analytics projects by building ETL workflows in Apache Airflow and BigQuery, supporting departmental analysis and reporting tasks.
- Collaborated with cross-functional teams (data engineers, business analysts, domain experts) to translate business requirements into actionable data models and performance reports.
- Presented analytical findings to stakeholders, facilitating informed strategic discussions.
- ENVIRONMENT: AWS (EMR, S3, EC2, Redshift, Glue, Lambda, Glacier), Jenkins, Git, PySpark, SQL, Docker, GCP (BigQuery, Dataproc, Cloud Storage), Apache Airflow, Power BI
Data Analyst
Vivikon Technologies
Minneapolis
03.2025 - 10.2025
- Extracted, transformed, and analyzed complex business datasets from Redshift, RDS, and S3, supporting cross-functional reporting and insights.
- Analyzed large datasets to identify trends, patterns, and correlations, providing actionable insights for business strategy.
- Developed Python scripts for data cleaning, transformation, and validation, improving data accuracy and consistency across analytics pipelines.
- Conducted data cleansing and validation to ensure accuracy and reliability of analyses.
- Automated reporting workflows using Apache Airflow and integrated them with DBT to ensure consistent, timely updates of dashboards.
- Designed and built automated dashboards using AWS QuickSight and Tableau to visualize marketing performance, operational KPIs, and executive summaries.
- Developed dashboards with Tableau to monitor key performance indicators.
- Collaborated with stakeholders to define business metrics and KPIs, translating requirements into scalable, analytics-ready datasets.
- Supported A/B testing and campaign analysis by preparing pre/post datasets and performing statistical comparisons in Python.
- Enhanced Snowflake query performance through tuning, partitioning, and optimization, resulting in faster data retrieval for analytics.
- Leveraged SQL queries to extract, transform and load data into databases.
- Utilized advanced analytics tools such as SAS, SPSS, Excel PowerPivot, to manipulate large volumes of structured and unstructured data sets.
- Documented data processes and created data dictionaries to improve transparency and empower business users with self-service capabilities.
- Assisted in deploying machine learning models in AWS SageMaker, interpreting results for business teams via integrated reporting layers.
- Built visualizations that enabled users to quickly interpret results from complex analyses.
- Translated raw data into meaningful information using statistical techniques.
Data Analyst
Infosys Ltd.
India
12.2021 - 07.2023
- Wrote complex SQL queries and Hive scripts to extract and analyze data from multiple structured sources, supporting various analytics use cases.
- Developed ETL workflows using Spark and Hive to ingest, transform, and clean data from aviation systems for analytics consumption.
- Built Tableau dashboards using data from BigQuery and Presto SQL, providing insights on project performance, operations, and cost metrics.
- Conducted exploratory data analysis and identified trends using Pandas and PySpark, facilitating data-driven decision-making.
- Automated reporting pipelines with SQL Server and Python scripts, streamlining data preparation for monthly and weekly reports.
- Collaborated with engineering and BI teams to define data requirements, resulting in actionable visual reports that enhanced project insights.
- Design and configure a database, Back-end applications, and programs. Managed large datasets using Pandas data frames and SQL. Worked with AWS Terraform templates in maintaining the infrastructure as code.
Education
Master of Science -
Concordia University
St Paul12-2024
B.Tech - Electrical Engineering
Indian Institute of Technology
Karnataka, India04-2021
Skills
- SQL
- Python
- Tableau
- Power BI
- Snowflake
- Amazon Redshift
- Google BigQuery
- Azure Synapse
- AWS Glue
- DBT
- Databricks
- Apache Airflow
- Informatica
- Hadoop
- Spark
- Kafka
- Hive
- Sqoop
- MySQL
- PostgreSQL
- MongoDB
- Cassandra
- AWS
- GCP
- Azure
- Data Factory
- Java
- Bash
Timeline
Senior Data Analyst
OpulentSoft
10.2025 - Current
Data Analyst
Vivikon Technologies
03.2025 - 10.2025
Data Analyst
Infosys Ltd.
12.2021 - 07.2023
Master of Science -
Concordia University
B.Tech - Electrical Engineering
Indian Institute of Technology