RUTWIZ GULLIPALLI
+1-857-***-**** **********.**@************.*** LinkedIn Github
EDUCATION:
Northeastern University, January 2023 - December 2024(Expected) Master of Science in Data Analytics with Applied Machine Intelligence Boston, MA GITAM University, June 2017 - May 2021
Bachelor of Technology in Computer Science and Engineering Visakhapatnam, India SKILLS
Languages: R, Python, C++, C, MATLAB, Java, SQL, Scala Frameworks: tidyverse, Django, Hadoop, Spark
Tools: Git, GitHub, VS Code, PyCharm, RStudio, Jira. Software: Power BI, Tableau, Qlik, Microsoft Excel, SAP, Jupyter, AWS, Google Cloud Platform, PostgreSQL, Snowflake, Azure EXPERIENCE
Data Engineer Intern October 2023 – January 2024
Cloudport Digital, Inc. Chicago, Illinois
• Engineered AI-driven cloud migrations, resulting in a 20% increase in data analytics efficiency and a 15% reduction in operational costs through optimized business intelligence solutions on AWS and Azure.
• Implemented robust data governance and security measures across 3 major cloud-based data management systems, ensuring 100% compliance with industry standards.
Data Analyst December 2020 – September 2022
Value Labs, LLP Hyderabad, India
• Conducted statistical analysis and developed over 10 predictive models using Python and R, boosting strategic decision-making accuracy by 20% and contributing to a 15% increase in revenue growth.
• Deployed AI solutions on cloud platforms, cutting model deployment times by 50%, which facilitated a 25% increase in the generation of actionable insights from data analytics.
• Created dynamic dashboards using Tableau and Power BI for real-time business intelligence, improving stakeholder engagement and decision-making efficiency by 30%.
Data Scientist Intern May 2020–December 2020
IBM, Co. Hyderabad, India
• Contributed to 5+ machine learning projects, utilizing Python for data analysis and model development, which resulted in a 25% increase in operational performance through optimized data-driven strategies.
• Supported the optimization of analytics strategies, aiding in the development and deployment of 3 predictive models that provided key insights, driving a 20% improvement in business intelligence outcomes. RELEVANT PROJECTS
Design and Implementation of a Machine Learning Model to Avoid Insurance Frauds:
• Implemented an advanced ML model, reducing insurance fraud by 30%, enhancing claim accuracy, and decreasing operational costs by 20%.
Optimizing Waste Transportation:
• Led waste transportation optimization, using analytics to achieve a 25% cost reduction by identifying efficient routes through Excel Solver.
Boston Housing Analysis:
• Analyzed Boston Housing data with regression analysis, identifying price influencers and achieving a 15% improvement in pricing strategy accuracy.
CERTIFICATIONS
• Google Data Analytics Professional Certificate by Google – Data Analytics, Coursera
• Machine Learning Algorithms by Alberta Machine Intelligence Institute – ML, Coursera
• Specialization course in Python for Everybody by University of Michigan – Python, Coursera
• Microsoft Azure Data Engineer Associate by Microsoft – Azure Data Engineer, Microsoft LEADERSHIP AND EXTRA-CURRICULAR
Graduate Teaching Assistant January 2024
Applications of Artificial Intelligence Northeastern University, Boston
• Guided students in mastering machine learning, deep learning, Python, TensorFlow, and data analysis, driving innovation and excellence in AI applications.
Gandhi Association of Data scientists January 2018 - May 2021 Certified Data Scientist GITAM, India
• Active, participant in collaborative problem-solving sessions, and conducting workshops to on data science principles and methodologies. Student Manager June 2018 – May 2021
GUSAC GITAM, India
• Served as a student manager for the Logistics Club, overseeing meticulous financial tracking and management for all club events. Association for Computing Machinery: August 2018
United States based society for Computing. GITAM, India
• Contributed as an active club member in the Association for Computing Machinery, engaging in collaborative initiatives and events within the computing community.