Sreelekha Vuppala
Data Engineer | Data Analyst | Python, SQL, PySpark, AWS | Big Data & Cloud Analytics | Reporting and Visualization
- Role
- Data Scientist at CitiusTech
- Location
- West Haven, CT, US
- LinkedIn followers
- 500 followers
About Sreelekha Vuppala
I’m a Data Engineer with 2+ years of experience designing scalable data pipelines, building cloud-native solutions (AWS, Azure), and enabling real-time analytics for better business decisions. My work bridges technical excellence and business impact—whether it’s automating ETL workflows, optimizing big data processing with PySpark, or delivering insightful dashboards that empower leaders. Where I Bring Value: Cloud Data Engineering: Designing cost-efficient, high-performance pipelines on AWS (Glue, Redshift, S3, Lambda) & Azure (ADF, Data Lake). Big Data Expertise: Handling large-scale datasets with PySpark, Databricks, and Hadoop to ensure data quality and performance. Analytics Enablement: Building intuitive Tableau, Power BI, and QuickSight dashboards for cross-functional teams. Automation & DevOps: Streamlining workflows with Apache Airflow, Jenkins, and CI/CD practices to improve delivery speed. Whether partnering with stakeholders to unlock business-critical insights or ensuring data reliability for downstream analytics, I thrive in solving complex data challenges in fast-paced environments. Currently: Master’s student in Information Technology at Arizona State University, enhancing my expertise in advanced data engineering and cloud solutions. Let’s connect if you’re working on data-driven transformations, cloud migration projects, or need insights to unlock business growth through data.
Experience
Data Scientist
May 2024 — Present · US
Designing real-time data pipelines with Azure Data Factory, Apache Kafka, and Snowflake to optimize cross-system data flow.Automating Python & SQL workflows to reduce manual overhead and improve operational efficiency.Advancing fraud detection models with Isolation Forests & Autoencoders to proactively flag anomalies.Integrating advanced NLP models (BERT, GPT) for sentiment analysis & feedback categorization to accelerate customer insights.Built and deployed demand forecasting models (ARIMA, Random Forest), improving forecast accuracy by 18% and reducing stockouts by 22%.Created recommendation engines with collaborative filtering & neural networks, boosting e-commerce conversion rates by 30%.Deployed a credit risk scoring system (Logistic Regression, XGBoost, AWS SageMaker), cutting loan default rates by 40% and lowering infra costs by 15%.Developed scalable APIs with FastAPI & Flask to enable secure, cross-functional data integration.Delivered interactive dashboards (Power BI, Tableau) for demand, inventory, and KPIs, enhancing executive decision-making.
Education
Jawaharlal Nehru Technological University Hyderabad (JNTUH)
Bachelor of Technology - BTech
2018 — 2022
Arizona State University
Master's degree
2023 — 2025
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