# Akashdip Saha
Source: https://hello.cv/akashdipsaha
Siliguri

## Links
- GitHub | https://github.com/Akashdipsaha
- LinkedIn | https://www.linkedin.com/in/akashdip-saha

## Work
### Data Science Intern | Infosys Springboard
- Worked in teams with daily sprints, meetings, and evaluations guided by a mentor.
- Completed a project on Unsupervised Anomaly Detection in Healthcare Providers' Data using ML and DL techniques.
- Achieved high model performance and deployed a Flask-based application for real-time anomaly detection.
### UI/UX Intern | KaroStartup
- As part of the evaluation process, designed a food delivery gamified section in the app, enabling users to play games while earning rewards, creating mutual benefits for users and the company.
- Collaborated with the UI/UX team to create responsive Figma prototypes for app registration and landing pages.
### Data Science Intern | Celebal Technologies
- Analyzed credit risk (P1, P2, P3, & P4) using XGBoost, achieving an accuracy score of 82% after tuning.
- Initially, Random Forest and Decision Tree models achieved 76% and 71% accuracy, respectively.

## Education
### Kalinga Institute of Industrial Technology, Odisha | Computer Science
7.96

## Awards
### Amazon ML Summer School
Amazon
Selected among the top 3k out of 81k+ applicants for the Amazon Machine Learning Summer School 2024, gaining insights into advanced ML topics through sessions with Amazon applied scientists.
### IEEE AESPC-2024 Paper Presentation Certificate
IEEE
Presented the paper "Leveraging Advanced Deep Learning Techniques for Automated Dermatological Image Classification" at IEEE AESPC-2024, highlighting AI applications in healthcare.

## Certificates
### Deep Learning Training
Internshala
### Salesforce Developer Virtual Intern
SmartInternz

## Skills
### Programming Languages & Technologies
- C++ (including OOP concepts)
- Python libraries (ML and data analysis)
- AI/ML
- UI/UX Design (Figma)
- Frontend Development (HTML, CSS)
- DBMS
- SQL
- Cloud Computing
- Computer Networks
- Operating Systems

## Projects
### Unsupervised Anomaly Detection on Healthcare Providers' Data
### Skin Cancer Lesion Multi-Classification System

## Source
Read this profile on Hello.cv: https://hello.cv/akashdipsaha
Create your free profile at https://hello.cv