Hi, I’m Abhishek Deshpande ๐
Iโm a passionate Software Engineer with experience in building scalable web applications, machine learning models, and REST APIs. I enjoy creating solutions that solve real-world problems using a combination of data analysis, cloud technologies, and modern development practices.
Skills ๐
Hereโs what I bring to the table:
Category | Technologies/Skills |
---|---|
Programming | Python, SQL, JavaScript, TypeScript, HTML/CSS |
Web Development | React, Next.js, Node.js, Express, REST APIs |
Data Analysis | Numpy, Pandas, Power BI, Excel |
Cloud & DevOps | Docker, AWS, Firebase, Linux, CI/CD |
Databases | PostgreSQL, MSSQL, MongoDB |
Tooling & Testing | Git, Pytest |
Machine Learning | Deep Learning, Transfer Learning, OpenCV |
Others | Agile, SDLC (Software Development Life Cycle), Bash Scripting |
Work Experience ๐ผ
Data Analyst
Ganit Inc (August 2022 โ March 2023)
- Built RESTful APIs using Python and machine learning models to extract metadata from medical prescriptions with 92% accuracy.
- Designed and maintained Power BI dashboards for tracking over 20 KPIs, improving operational efficiency by 22% and driving an 18% revenue increase annually.
- Automated workflows using Bash scripting, Python, and AWS EC2 to refresh dashboards dynamically.
- Managed code reviews and pull requests in Git to ensure high-quality, maintainable code.
Data Analyst Intern
Ganit Inc (February 2022 โ July 2022)
- Reduced fraud analytics processing time by 40% through optimized data workflows using Pandas and Numpy.
- Developed Python scripts to link related emails using regex, improving data linkage accuracy by 25%.
- Automated error handling pipelines with Python, reducing manual investigation time by 50%.
- Performed stress testing on an ELK-stack-based front-end tool to ensure robust performance.
Projects ๐
Project | Technologies | Description |
---|---|---|
Notion Notes App | Flask, Python, Nix, Docker, DigitalOcean, Traefik, Notion API, OpenAI API | A containerized app integrated with Notion API to manage notes using Siri Shortcuts, deployed on DigitalOcean. |
Deep Q-Learning Snake Game | Python, PyTorch, Reinforcement Learning | An AI-based Snake game with Deep Q-Learning and a GUI to visualize performance in real-time. |
Cotton Disease Classification | Python, TensorFlow, Transfer Learning | A transfer learning model achieving 96%-97% accuracy for cotton disease classification using CNNs. |
Open Source Contributions ๐
Project | Contribution |
---|---|
tldr-pages (51.8k+ GitHub stars) | Actively contribute to the repository by resolving issues and adding/improving command pages such as chat , lazygit , and speedtest . View Contributions |
Education ๐
Masterโs of Science in Computer Science
Arizona State University
- Relavent Coursework:
Algorithms, Information Assurance and Security, Operating Systems, Software Testing, Data Processing
Bachelorโs of Technology in Aeronautical Engineering
Manipal Institute of Technology
- Relevant Coursework:
Python, C, Statistics, Data Structures, Web Development