SREE MAHALAKSHMI GUNTI

I am an experienced QA Tester with a strong foundation in software field, coupled with excellent communication and presentation skills. I enjoy working in teams as well as independently. Looking for opportunities in business analytics, planning, operations, leadership, and management. During my 2 years in QA Testing, I have developed a keen eye for detail, strong analytical skills, and a deep understanding of data-driven decision making. In 5 years, I aspire to be in a leadership role bridging the gap between technology advancements and infrastructure.

• Participated in the workshop on Android application development using kotlin which is organised by Protex LLP in the month of December,2017.
• Participated in the workshop on Web Development conducted by Sathyabama Institute of Science and Technology on 26th and 27th July 2017.
• Elite certification on Android Application Development by Uniq Technologies on 28th May 2018.
• Achieved a Merit Certificate in Struct Math Event at MATHMANIA 2K19 conducted by Mathematics club at Sathyabama Institute of Science and Technology in 2019.

Implemented a user-level thread library using C and Assembly (x86), solved well know parallel programing problems such as Producer-Consumer problem using this library. Implemented Huffman Compression routine for Multimedia Networks using C. Development of stack functionalities in Java using arrays, linked lists and queues. Unit testing with JUnit and EclEmma for code coverage. Implemented Internet Relay Chat using socket programming and TCP/IP protocol for server-client connection using Python. Developed a system providing real-time data on temperature, humidity, light exposure, and CO2 levels in greenhouses, sending climate condition updates to farmers via MMS, enabling precise agricultural monitoring through IoT sensors. Designed a comprehensive DBMS for talent agencies to streamline talent scouting, representation, and administration with secure, intuitive, and efficient data management. Forecast metal demand for a metals and mining firm using volume data, crucial for risk mitigation, informed financial decisions, optimized production, and efficient delivery processes. Implemented and Created Power BI Dashboard using 10 years of data for the International Monetary Funds. Developed a Shiny App featuring file upload, dropdown menus, text input, and interactive data visualization, deployed on shiny.io for submission. Utilized K-Nearest Neighbors, Polynomial Regression, and Decision Tree models in a Car Insurance Data Analysis capstone project to predict insurance claims based on customer data, highlighting the predictive power of speeding infractions and advocating for data-driven strategies in risk management and pricing within the insurance industry using Power BI and R markdown.