Ajay Chaudhary
Hi there! 👋
I'm Ajay Chaudhary
Data Analyst & API Specialist
Passionate about transforming data into actionable insights and building efficient API solutions. With expertise in data analysis and API development, I create impactful solutions that drive business growth and enhance user experiences.
Focus Areas
Data Analysis, API Development, and Machine Learning Solutions
Achievements
Published Research, Successful Project Deliveries, Client Satisfaction
Current Focus
Exploring AI/ML Applications and Cloud-Native Solutions
Passion
Building Innovative Solutions that Drive Business Growth
3+
Years Experience
15+
Projects
10+
Technologies
Technical Expertise
Core Technologies
Additional Skills
Education Journey
Focused on computer science fundamentals, data structures, algorithms, machine learning, backend development using Flask/Django, and published research on classification algorithms for hair fall prediction.
Key Courses
Focused on core science subjects including Physics and Chemistry, with an emphasis on Mathematics and Computer Science. Gained foundational knowledge in programming, algorithms, and data structures, alongside analytical and problem-solving skills essential for advanced studies in computer engineering.
Key Courses
Focused on core subjects including Science and Social Studies, with emphasis on Mathematics and basic Computer Science. Gained foundational knowledge in arithmetic, geometry, and introductory programming, along with analytical and problem-solving skills essential for higher secondary studies.
Key Courses
Professional Experience
Key Responsibilities
- Developed a time tracking and employee management module integrated with Trello using Python and Trello API, improving task visibility and time reporting across teams.
- Developed and deployed an automated system on AWS to synchronize inventory and pricing with Amazon and Walmart, reducing manual work and ensuring real-time accuracy.
- Developed interactive dashboards using Python libraries like Matplotlib, Seaborn, and Plotly to deliver actionable business insights.
- Collaborated with cross-functional teams to optimize business processes
Key Responsibilities
- Conducted data preprocessing, cleaning, and exploratory data analysis (EDA) using Python libraries such as Pandas, NumPy, Matplotlib, and Seaborn.
- Created insightful data visualizations to interpret trends and patterns in large datasets.
- Developed and evaluated supervised machine learning models (Regression and Classification) using Scikit-learn and TensorFlow.
- Worked on projects integrating Generative AI models for text, image, and data generation tasks.
- Explored AWS services (EC2, S3, RDS) for scalable cloud-based deployment of AI applications.
- Prepared technical documentation, project reports, and showcased project outcomes in demo sessions.
Key Responsibilities
- Accurately labeled, categorized, and annotated large volumes of data including images, text, and video to support machine learning and AI model development.
- Performed quality assurance checks on annotated datasets, ensuring consistency and adherence to project-specific guidelines.
- Collaborated with project managers and team members to meet daily and weekly annotation targets within strict deadlines.
- Utilized annotation tools and platforms efficiently for tasks such as image bounding boxes, text classification, sentiment analysis, and entity recognition.
- Provided feedback and suggestions for process improvements to enhance annotation quality and team productivity.
- Participated in training sessions to stay updated on new tools, annotation techniques, and project standards.
Featured Projects
Publications & Articles
December 2023
Comparative Analysis of Classifcation Algorithm for Hair Fall in Survey Based Dataset
Co-authored an IEEE research paper comparing six ML classification models for predicting hair fall from survey-based data, where XGBoost achieved the highest accuracy of 91.89%.
November 2024
Evolution of Language Representation Techniques: A Journey from BoW to GPT
Published a Medium article during internship at Innomatics Research Labs explaining the evolution of language representation techniques in NLP, from BoW to advanced models like Word2Vec, BERT, and GPT.
October 2024
Hacking the System Design: How Search Engines Understand and Deliver Results
Published a Medium article during internship at Innomatics Research Labs explaining the architecture and mechanics of modern search engines, covering query processing, ranking metrics, and blending techniques.
April 2024
Navigating the GenAI Frontier: Transformers, GPT, and the Path to Accelerated Innovation
Published a Medium article during internship at Innomatics Research Labs explaining the evolution of transformer architectures, highlighting GPT's training and advantages over traditional models.
Certifications
April 2023
Leaders Worth Following Celebration Live Event
Credential ID: 76967
March 2024
Advance Data Analysis Internship Program
Credential ID: C211038
May 2024
Advance Machine Learning and GenAI Internship Program
Credential ID: C221217
Get in Touch
Let's Connect!
I'm always excited to hear from fellow professionals, potential collaborators, or anyone who's interested in my work. If you have any questions, want to discuss a project, or just want to say hello, don't hesitate to reach out.