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Q&A With Aravind Reddy Vangala

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Aravind Reddy Vangala
Unemployed, N/A

Location: Pine Bluff, AR United States
Joined: Jun 2nd, 2023
About   (request update)
Highly motivated Computer Science undergraduate with passion for artificial intelligence seeking challenging opportunities in the field. Possesses a strong foundation in computer science concepts and programming languages, with a focus on machine learning and deep learning algorithms. Committed to delivering innovative solutions and advancing the frontiers of AI technology.
Current Whereabouts:
Artificial Intelligence
Life & Professional Aspirations:
As a recent graduate with a strong foundation in Computer Science and hands-on experience in software development and AI, my professional aspiration is to become a leading expert in the field of embedded systems and AI-powered applications. I aim to contribute to innovative projects that leverage cutting-edge technologies to solve real-world problems. My life aspiration is to continuously learn and grow both personally and professionally, while making meaningful contributions to the tech community and society at large.
Website:
https://www.linkedin.com/in/aravind-reddy-vangala/
Education   (request update)
University of Arkansas at Pine Bluff class of 2023
Undergrad Major: Computer Software Engineering
Claim To Fame:
D1 Student-Athlete
Most Memorable Moment:
Playing Tennis with the Team
Video
Experience
I currently work with N/A as Unemployed
I have 3 years of experience working in the Computers, Software industry.
AI Developer Intern | Elior North America
From October 2023 to January 2024 • 1 year(s)
● Spearheaded the development of an AI-powered food ordering chatbot, enhancing customer service by enabling personalized recommendations and efficient order handling. ● Designed and implemented a predictive analytics model for inventory management, reducing food waste by 30% and optimizing stock levels through data-driven forecasting. ● Developed an automated, AI-based system for generating customized operational efficiency, customer feedback, and sales performance reports, facilitating informed decision-making. ● Introduced an interactive AI-driven employee training module, improving the training process with personalized content adaptation based on individual learning progress. ● Leveraged sentiment analysis and NLP for real-time customer feedback analysis, improving response strategies and customer satisfaction through actionable insights.
Data Scientist Intern | RV Nirmaan Private Limited
From May 2021 to August 2022 • 1 year(s)
● Cost Estimation Model Development: Spearheaded the creation of a sophisticated construction cost estimation model, enhancing bidding accuracy by 20% over traditional approaches. Utilized advanced data cleaning and preprocessing techniques to distill 25 key features, further refining to the 10 most impactful variables for precise cost prediction. ● Machine Learning Implementation: Deployed robust machine learning algorithms, achieving an impressive R-squared value of 0.85, signifying a strong predictive reliability in aligning estimated costs with actual expenditures. ● Analytical Insights: Conducted comprehensive feature importance and sensitivity analyses. Identified labor hours and material costs as principal determinants, collectively influencing 60% of cost variability. Demonstrated that a 10% increase in labor hours could predict a 12% rise in overall cost projections, offering critical insights for strategic planning and resource allocation. ● Data-Driven Strategy Enhancement: Collaborated closely with project managers and the finance team to integrate model findings into the company’s strategic planning, leading to more competitive bidding and cost-efficient project management. ● Continuous Improvement and Validation: Instantiated a process for continuous model validation and updates, incorporating new project data and feedback to refine accuracy and relevancy. ● Cross-Functional Team Leadership: Played a pivotal role in cross-departmental teams, fostering a data-driven culture and enhancing decision-making processes across projects. ● Technical Workshops and Training: Conducted workshops for the analytics and project management teams on leveraging data insights for improved cost management and operational efficiency, boosting company-wide understanding and application of data science principles.
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