Machine Learning Data Science

NAGA SAI SRAVAN REDROWTHU

**********@*****.*** 774-***-**** linkedin.com/in/naga-sai-sravan github.com/Naga313 naga313.github.io/Portfolio/Home PROFESSIONAL SUMMARY

Data Science graduate student with 1.8+ years of experience in Oracle Cloud, backend development, and scalable full stack solutions. Proficient in machine learning, ETL, data pipelines, and predictive modeling. Strong expertise in Python, SQL, and data visualization, with a focus on cloud computing and automation. Skilled in translating data into business impact and strategic insights. EDUCATION

University of Massachusetts Dartmouth North Dartmouth, MA Master of Science in Data Science May 2026 (Expected) GPA 3.8

● Relevant Coursework: Machine Learning, High Performance Computing, Database Design, Applied Business Analytics, Digital Forensics.

PROFESSIONAL EXPERIENCE

WIPRO Hyderabad, India March 2023 - July 2024

Project Engineer

● Enhanced fulfillment efficiency by 18% and reduced order-related issues by 22% for the Alticor (Amway) Project.

● Resolved 65+ global order-related tickets with an 87% resolution efficiency, accelerating order processing by 20%.

● Optimized Oracle EBS backend, reducing system downtime by 12% and improving operational efficiency.

● Pioneered and deployed ETL pipelines, accelerating data migration by 30% and increasing reporting efficiency by 40%.

● Engineered an automated order tracking system, reducing fulfillment delays by 15% and increasing customer satisfaction scores by 10%.

● Achieved a 97% score in Oracle Cloud training, mastering OTBI, PLSQL, Data Migration, HDL, BI Publisher, and Oracle SQL.

WIPRO and Great Learning Hyderabad, India April 2022 - June 2022 Intern

● Designed and launched Shop for Home, an eCommerce site, increasing web traffic by 40% in the first month.

● Optimized deployment using Visual Studio Code and Spring Boot Tool Suite, reducing deployment errors by 30%.

● Managed MySQL databases and deployed the application on AWS S3, ensuring scalability. SKILLS

Programming Languages & Databases: Python, Java, SQL, TypeScript, MySQL, Oracle SQL Tools & Technologies: Tableau, Power BI, Git, AutoCAD 2D, Google SketchUp, 3DS Max, Adobe Photoshop, Figma Frameworks & Cloud: Angular, Spring Boot, Node.js, AWS, Flask Key Competencies: Data Wrangling, Feature Engineering, Predictive Modeling, Cloud Data Migration ACADEMIC PROJECTS

Emotion Detection in Natural Language Processing Fall 2024

● Built an emotion classification model using TensorFlow, LSTM, and BERT, achieving 92% accuracy on sentiment analysis across diverse datasets.

NYC Taxi Trip Duration Prediction December 2022 - January 2023

● Developed a predictive model using logistic regression and feature engineering, attaining 89% accuracy and reducing trip duration estimation errors by 15%.

Food Forecasting Analysis November 2022 - January 2023

● Created interactive Tableau dashboards for demand forecasting, decreasing forecasting errors by 20% and improving report efficiency by 40%.

Pesticide Spray Drone for Agriculture June 2022 - July 2022

● Engineered a cost-effective agricultural drone, optimizing pesticide application speed by 40% and cutting labor costs by 25%.

RFID-based Coffee Dispenser November 2021 - December 2021

● Assembled an RFID-enabled automated coffee dispenser using Arduino Uno and Embedded C, increasing transaction efficiency by 30% and reducing customer wait times by 40%. CERTIFICATIONS

● Internshala Data Science Specialization (85% Score)

● Great Learning Cloud - AWS

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