About
I am a Data Scientist and Machine Learning Engineer with a background in Computer Science and Engineering from JNTUH College of Engineering, India. Currently pursuing my Master’s in Data Science at UMBC. I’m passionate about solving complex problems using data-driven approaches and building intelligent systems.
Graduate Teaching Assistant & ML Engineer
I am passionate about teaching, mentoring students, and applying my knowledge in the field of data science to real-world challenges.
- Birthday: 29 December 1998
- Email: lalithd1@umbc.edu
- Phone: +1 (667) 369-5895
- City: Baltimore, MD, USA
- Degree: Master’s in Data Science (UMBC)
- Freelance: Available
I have worked on various data science and machine learning projects, focusing on real-time problem solving, predictive analytics, and AI systems. I enjoy conducting research, sharing knowledge, and building scalable solutions.
Skills
Here are some of my core skills, technologies, and tools that I have gained experience in over the years through various projects and work experiences.
Programming Languages
- Python
- C++
- JavaScript (Node.js, Express.js)
- Java
- Dart (Flutter)
Data Science & Machine Learning
- Data Analysis and Visualization (Pandas, Matplotlib, Seaborn)
- Machine Learning (Scikit-learn, TensorFlow, Keras, PyTorch)
- Deep Learning (CNN, RNN, GANs)
- Model Deployment (Flask, FastAPI, Heroku)
- Natural Language Processing (spaCy, NLTK)
- Reinforcement Learning
Cloud & DevOps
- Cloud Platforms: AWS (S3, EC2, Lambda), Azure
- Docker, Kubernetes for containerization and orchestration
- CI/CD pipelines (GitHub Actions, Jenkins)
Web Development
- Frontend: HTML5, CSS3, JavaScript (React, Angular)
- Backend: Node.js, Express.js
- Full-stack Development
- RESTful API Development and Integration
- Version Control (Git, GitHub)
Databases & Big Data
- Relational Databases (MySQL, PostgreSQL)
- NoSQL (MongoDB, Firebase)
- Big Data Tools (Apache Spark, Hadoop)
- Data Warehousing (AWS Redshift, Google BigQuery)
Software Tools & Others
- Data Visualization: Tableau, Power BI
- IDEs: Visual Studio Code, PyCharm, Jupyter
- Automation: Selenium, PyTest
- Content Management: WordPress, Shopify
- UI/UX Design: Figma, Adobe XD, Photoshop
Resume
My professional journey, including educational background and work experience, is summarized below. I have a strong passion for Data Science, Machine Learning, and contributing to impactful projects.
Summary
Lalith Avinash Donkina
Data Scientist, Machine Learning Engineer, and Graduate Teaching Assistant with a strong passion for Data Science, AI, and Deep Learning. Adept at applying machine learning models to solve real-world problems and mentoring the next generation of data scientists.
- Location: Baltimore, MD, USA
- Email: lalithd1@umbc.edu
- Phone: +1 (667) 369-5895
Education
Master of Professional Studies in Data Science
Aug 2023 - May 2025
University of Maryland, Baltimore County (UMBC)
- CGPA: 4.0/4.0
- Relevant Coursework: Data Science, Machine Learning, Big Data Platforms, Ethical & Legal Issues in Data Science
- Expected Graduation: May 2025
Bachelor of Technology in Computer Science & Engineering
Aug 2016 - May 2020
JNTUH College of Engineering, Jagtial, India
- CGPA: 3.7/4.0
- Relevant Coursework: Artificial Intelligence, Data Structures, Machine Learning, Database Management Systems, Algorithms
- Graduated with Honors
Professional Experience
Graduate Teaching Assistant
Feb 2024 - Present
University of Maryland, Baltimore, MD
- Assist in teaching Data Science and Machine Learning courses, conducting lab sessions and tutorials.
- Mentor students, providing guidance on projects and research.
- Grade assignments, exams, and assist with curriculum development.
- Collaborate with professors and teaching staff to improve course materials and learning outcomes.
Application Development Analyst
May 2021 - Aug 2023
Accenture, Hyderabad, India
- Developed and integrated dynamic web applications using technologies like React, Node.js, and AWS.
- Led the migration of 600+ pages and 20,000+ assets to Adobe Experience Manager (AEM), enhancing the performance and scalability of the website by 30%.
- Created custom APIs to handle large datasets, improving site efficiency and user interaction.
- Worked with cross-functional teams to ensure seamless deployment and optimal performance of web applications.
- Optimized front-end code to ensure fast load times and responsiveness across different devices.
Machine Learning Engineer Intern
Dec 2019 - Nov 2020
Rapid Acceleration Partners, Chennai, India
- Developed and deployed machine learning models to automate data extraction processes, improving efficiency by 25%.
- Created an end-to-end solution to process and analyze U.S. driver's license data using deep learning techniques.
- Enhanced model accuracy by 20% through data augmentation and hyperparameter tuning.
- Collaborated with engineers and data scientists to optimize models for better performance and scalability.
Projects
Explore my projects in the fields of Data Science, Machine Learning, and Deep Learning. Each project is open-source and available on GitHub. Feel free to check out the code and contribute!
- All
- Deep Learning
- Data Science
- Blogs
Contact
Feel free to reach out for any inquiries, collaborations, or just to connect! I am always open to discussing exciting projects and new opportunities.