Resume
Summary
Anjali Mudgal
Innovative and deadline-driven Data Scientist with 4+ years of experience in Software Engineering, Machine Learning Engineer and as a Data Scientist.
Education
Master's of Science& Data Science
2022 - 2024
George Washington University, Washington, DC
Relevant Coursework
Intro to Data Mining, Data Warehousing, Machine Learning, Data Visualization, Time Series Analysis and Forecasting, Deep Learning, Natural Language Processing, Linux for DevOpsBachelor of Technology & Communication and Computer Science
2015 - 2019
The LNM Institute of Information Technology, Rajasthan, India
Relevant Coursework
Probability Theory and Stochastic Processes, Linear Algebra, Calculus, Digital Signal Processing, Computer Vision, Data Mining, Deep Learning, Data StructurePatent and Publications
Mudgal, A., Kush, U., Kumar, A. et al. Multimodal fusion: advancing medical visual question-answering. Neural Comput & Applic (2024). Link
Authored A2 grade patent with Samsung, “Enhanced Optical Flow Video Stabilization for Multimedia Content”, application number 202211062410.
"Pushkar Pathak, Ashish Chopra, Bhanu Mahto, Anjali Mudgal (2022), 'Context-based Video Stylization,' International Journal of Electrical, Electronics, and Data Communication (IJEEDC), pp. 26-30, Volume-10, Issue-10."
Certification
AWS Certified Cloud Practitioner (CLF-C02)
Professional Experience
Short Term Data Consultant
March 2024 - May 2024
World Bank, Washington, DC
- Designed effective assessment tools for Data Science, Data Visualization, and Data Survey, contributing to World Bank's successful skill certification program implementation.
Graduate Teaching Assistant
Jan 2024 - May 2024
George Washington University, Washington, DC
- Assisted professor in teaching Visualization of Complex Data course, helping students create compelling visualizations using Python and Tableau.
Machine Learning Engineer
March 2023 - Dec 2023
Enquire AI, Washington, DC
- Enhanced mean average precision score to 0.94 by fine-tuning LLM models (BERT, bi-encoder, cross-encoder, distillation, all-mpnet, msmarco) utilizing cosine similarity and multiple negative ranking loss.
- Accelerated similar profile search speed to 10ms from 150ms by efficient document retrieval, integrating pgvector on Postgres for BERT embeddings, enhancing previous answers retrieval and user experience.
- Integrated AWS SageMaker, simplified architecture, reduced costs, improved performance and stability; devised profile matching microservice using Elastic Beanstalk for model re-usability.
- Leveraged Hypothesis Testing, A/B Testing, and rigorous statistical analysis to compare and select reliable models.
Software Engineer
Jan 2019 - July 2022
Samsung Research & Development, India
- Reduced sensor-to-application image frame latency by 100ms for image processing pipeline in smartphones, through optimization techniques, significantly enhancing operational efficiency.
- Reduced RAM usage from 500MB to 80MB by developing space-efficient MobileNet for real-time image segmentation, enabling bokeh effect in cameras suitable for low-budget smartphones.
- Increased number of camera issues resolved by 20% by developing automation tool reducing redundant sanity testing work during OS upgrades, enhancing camera team efficiency.
Portfolio
Welcome to my portfolio!
I'm passionate about uncovering valuable insights and creating impactful solutions. Each project has been an exciting opportunity to learn and grow. Feel free to explore my work and share your feedback. I'm always eager to improve my skills. Thanks for visiting, and I hope you find something that piques your interest!- All
- Natural Language Processing
- Deep Learning
- Data Analysis
- Time Series Forecasting
Skills
If you're seeking someone who combines technical proficiency with a problem-solving mindset and a focus on quality, I'd be happy to discuss how I can contribute to your projects.
Python
SQL
R Programming
C++
Streamlit
Tensorflow
Pytorch
Transformer
Sklearn
Numpy
Opencv
GitHub
Hugging Face LLM
Tableau
Docker
AWS Elastic Beanstalk
AWS S3 Buckets
AWS EC2
GCP
Recommendation
Hearing from those who have contributed to my growth and success.
I had the pleasure of working with Anjali during her internship as a Data Scientist / Machine Learning Intern, and I can confidently say that she is an outstanding professional with exceptional technical skills and a collaborative spirit. Beyond her technical expertise, Anjali is a talented and professional individual who consistently strives to help others, learn more, and share her knowledge. Her dedication to continuous improvement and teamwork made her an invaluable asset to our team. I highly recommend Anjali for any role in data science or machine learning. She possesses the skills, dedication, and collaborative spirit needed to excel and make significant contributions to any organization.
Arnaud Jaspart
CTO, Enquire AI
Washington, DC
Anjali is a quick learner and highly motivated person. She used to learn and adapt herself quickly for the project. I have worked with Anjali on various projects and she always did her part very well and on time.
Alok Sharma
Head of Camera System, Samsung Noida
Extremely hard working person. While working on research project she has given her 100% beyond my expectation in order to complete the project on time. she is very responsible for completing the research work. very dedicated person. she will be an asset to company wherever she join in future. A good team player. wishing a very bright future ahead.
Ashish Chopra
Chief Engineer, Samsung Noida
Anjali had worked on her BTP project under my guidance. She took initiative and responsibility for the work carried out in the group. She is hard-working, a good team player and has good knowledge of her domain. Her jovial and helpful nature makes her a great asset for the group. I wish her all the best for a bright and fruitful career ahead.
