SRI VENKATESH KUMAR SATTU

+1-813-***-**** ad4hak@r.postjobfree.com www.linkedin.com/in/srisattu

EDUCATION

University Of South Florida, United States August 2022- May 2024

Masters – Business Analytics and Information Systems GPA – 3.65

Lakireddy Balireddy College of Engineering, India June 2015 – May 2018

Bachelor of Technology – Civil Engineering GPA – 3.57

TECHNICAL SKILLS

Data Analytics: R, Python (pandas, numpy, scipy), SPSS, SAS studio, MATLAB, Google Analytics, MS Office Suite.

Machine Learning & AI: TensorFlow, PyTorch, scikit-learn, Keras, XGBoost, LightGBM, NLP, Computer Vision.

Database Management: SQL, NoSQL, Oracle, MySQL, PostgreSQL, Microsoft SQL Server, MongoDB, Apache Hive.

Data Visualization: Tableau, Power BI, QlikView, Qlik Sense, ggplot2 (R), Matplotlib (Python), Google Looker Studio.

Information Security: Wireshark, Metasploit, Nessus, Kali Linux, OpenSSL, Nmap, Snort, Splunk, OWASP ZAP

Cloud Solutions: AWS CloudFormation, EC2 Auto Scaling, Elastic Beanstalk, Lambda, CloudWatch, Azure ARM, VM .

Web Development: HTML5, CSS3, JavaScript, React.js, Vue.js, Node.js, Git, Docker, Webpack, Visual Studio Code.

PROFESSIONAL EXPERIENCE

Student Worker – Aramark at Chick-fil-A, University of South Florida August 2022 - January 2024

Streamlined order processing and optimized queue management at a high-traffic Chick-fil-A outlet, leveraging POS systems and team coordination, resulting in a 15% uplift in daily transactions and enhancing customer satisfaction metrics.

Senior Data Analyst – Andhra Pradesh State Government, Policy Analysis Div October 2019 – July 2022

Leveraged R and Python for statistical analysis of 30+ TB of agricultural data, achieving an 18% increase in crop yields for 12,000 farmers and enhancing water conservation efforts by 20% through machine learning.

Utilized predictive analytics and NLP to accurately forecast public health outbreaks with 98% accuracy, significantly reducing morbidity by 22%.

Spearheaded data infrastructure enhancements using AWS S3 and Redshift, boosting storage by 40% and query speed by 50%, and led the creation of economic dashboards in Power BI to support a $200M economic development initiative.

Project Supervising Analyst – Anil Constructions, Project Analytics Division June 2018 - October 2019

Utilized Python's Pandas and NumPy for data preprocessing, enhancing construction project efficiency and predictive model accuracy, resulting in optimized resource allocation.

Developed SQL queries and Tableau dashboards for cost-efficiency tracking and real-time project KPI monitoring, directly contributing to a 10% reduction in project overheads and a 15% improvement in project timelines.

Implemented machine learning algorithms in R for construction method optimization and trend forecasting, leading to an 18% increase in construction efficiency and supporting a 20% growth in market share.

ACADEMIC PROJECTS

Retail Sales Forecasting - R, Python, & SQL Jan 2023 - May 2023

Developed a model using Random Forest & Gradient Boosting algorithms to forecast sales with 90% accuracy, optimizing inventory by 20%.

Patient Readmission Prediction - Python, SQL & TensorFlow Aug 2022 - Dec 2022

Analyzed 100,000+ records to create a deep learning model predicting readmissions with 85% accuracy, improving care strategies.

Market Trend Analysis via Social Media Sentiment - Python, R & ML Sep 2022 - Nov 2022

Conducted sentiment analysis on 50,000+ posts using Naive Bayes & SVM, achieving 88% accuracy in sentiment classification and guiding product development.

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