Lokesh Manideep Boggavarapu

Experience | Projects | Skills | Contact

Actively looking for full-time positions as a Data Scientist, Data Analyst, Software Engineer

I am Lokesh, currently pursuing an MS in Computer Science at UIC with an expected graduation May 2025. I am actively seeking full-time and co-op opportunities in the fields of data science and full stack web development. My academic journey began at NITK Surathkal, a prestigious technological institute in India, where I completed my Bachelor's degree in Computer Science and Engineering. After my undergraduate studies, I gained valuable experience by working at OYO as a Software Development Engineer for 3.5 years. In these roles, I was involved in Data Analysis, Software development.

Recognizing the importance of continuous learning and career advancement, I decided to pursue a Master's degree in Computer Science in the United States at University of Illinois Chicago, known for its excellent reputation. I have maintained an impressive academic record with a GPA of 4.00/4.00.

I am excited about the opportunity to contribute my skills and expertise to innovative projects in the fields of data science, software engineering. Thank you for considering my qualifications, and if you have relevant openings, I'd be eager to connect for a quick discussion.

	University of Illinois Chicago Master of Science \| Computer Science and Engineering Jan '24 - May '25 GPA : 4.00 / 4.00 Relevant Coursework: • [CS418] - Introduction to Data Science • [CS480] - Database Systems • [CS594] - Linux Kernel Programming
	National Institute of Technology Karnataka, Surathkal Bachelor of Technology \| Computer Science and Engineering July '16 - July '20

Software Development Engineer, OYO
Gurgaon, India
August '20 - December '23

• Developed the Preprood and testing environments for the backend systems of OYO Vacation Homes
• Migrated the entire backend system of OYO Vacation Homes that handle more than 10+ services from on-premisis to Azure Cloud
• Onboarded new partners to the OYO Vacation Homes business
• Ensured smooth transfer of data and other services from TUI when OYO acquired it.

Intern, WIPRO
Bangalore, India
May '19 - July '19

• Implemented compliance measures for IoT devices using AWS IoT, ensuring adherence to privacy policy agreements and enhancing data security using various AWS services

	Chicago Bird Diversity Data analysis, Python, Feature Engineering, ML, Plots [code] The project aims to explore the bird diversity across neighbourhoods in Chicago • The data has been trained on 5 types of regression algorithms. • The project predicts the future bird diversity of communities using input features such as year, month and name of the community and output value as Shannon Index(Bird Diversity).
	Machine Learning in Agricultural Crop management and Disease detection R Programming, SQL, Rapid Miner, Machine Learning Algorithms • The project aims to showcase the practical applications of machine learning within agricultural production systems. • The project's focus encompasses various aspects of crop cultivation, such as yield prediction, disease detection, weed detection, crop quality assessment, and species recognition. • Led analysis of 20-year crop data from Indian government, encompassing 500k+ records from various states. Demonstrated leadership by collaborating with a team of 3 to leverage RapidMiner and SQL for feature extraction and processing. • The machine learning model(SVR Anova) deployed in the project demonstrated remarkable success by achieving an accuracy rate of approximately 84% in predicting crop yields, surpassing other models that could only achieve an accuracy of 75%. • Multiple machine learning models were employed in the project, including Support Vector Machines (SVM), Artificial Neural Networks (ANN), Bayesian Models (BM), and clustering techniques, to address specific agricultural production challenges and improve overall performance.
	Lossless Image Compression technique using Combination Methods Matlab, Algorithms, Encryption, Decryption • It provides a redundancy-based improvement to the present lossless data compression approach. LZW, a lossless data compression method, is combined with the BCH encoding process in the suggested approach. The new merging method reduced the size of an image file by 22 percent. • Improved Lempel–Ziv–Welch algorithm by combining it with well known Bose–Chaudhuri–Hocquenghem algorithm which corrects multiple bit errors. • Reference : https://www.scirp.org/journal/paperinformation.aspx?paperid=23911
	Service Provider and Manager HTML, CSS, JavaScript, SpringBoot, PHP [code] Service Provider and Manager system is an application that enables users to request for household services such as Plumbing,Electrical,AC repair etc. • The application assigns workers based on user's location and requirement. • The system is hosted on the XAMPP platform, utilizing an Apache server for web hosting and database management, ensuring a seamless online examination experience. • The system emphasizes data security and employs Role-Based Access Control (RBAC) to ensure authorized access for customer, workers and authorisers.

Programming Python, C/C++, SQL, Java, Bash, HTML/CSS, Swift	Developer Tools Git, Docker, Kubernetes, AWS, Jenkins, Maven, VS Code, VirtualBox, PyCharm, Intellij
Data Analysis and ML Kafka, nltk, Pandas, NumPy, Matplotlib, Scikit-learn, TensorFlow, Keras, PyTorch	Database Technologies and Web Development MySQL, PostgreSQL, MongoDB, Flask, SpringBoot
Collaboration Tools Confluence, Jira, Github

Lokesh Manideep Boggavarapu

University of Illinois Chicago

National Institute of Technology Karnataka, Surathkal