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(Uppdaterat 2022-10-13)Machine Learning Engineer
Stockholm, Sverige
Modersmål English, Mellan Svenska, Nybörjare Tamil
- Machine learning
- Pyhton
- Cloud Technologies
Kompetenser (25)
MATPLOTLIB
Power BI
Jupiter & Colab
SciKit Learn
PANDAS
KERAS
Datastudio
Kubernetes
Open CV
GCP
Big querry
NUMPY
TENSORFLOW
C++
Cloudwatch
Machine Learning
AWS
Dynamo
CI/CD
MySQL
EKS
Deep Learning
WEB SCRAPING
Regression
DynamoDB
Sammanfattning
Nashrin is a Machine Learning Engineer and Python Developer with 4+ years of experience in domains like AI-Surveillance, Retail and E-Learning. She is an application developer having skills on Python, MySQL, Django, StreamLit etc.
She is expertise on Machine learning & Deeplearning skills for multiple application including computer vision, anomaly detection and knowledge graphs.
She is a specialist in designing dashboards using power BI and Data Studio. She is having experience in DataScience skills like Data Acquisition, Data Visualization, Data Analysis and Cloud Computing technologies like Kubernetes, GCP, AWS etc.
She also having hands-on experience on manual and API testing.
Professionell bakgrund
2022-10 - Pågående
2022-10 - Pågående
• Training data creation.
• Prototyping the computer vision model and testing to quantify results.
• Collaborate with development team to integrate and validate computer vision solutions end-to-end.
• Defined requirements for dashboard/KPI of the web application.
• Monitoring cloud watch logs and EKS clusters performance.
2021-01 - 2021-06
• Automating computer vision tasks like human gender, race, age, and emotion detection using DeepFace.
• Tracing human keypoints like facial landmarks and bodyjoints using OpenPose.
• Developed a web application to display live stream video from RTSP cameras and to detect human action, emotion and physical features using Streamlit.
2021-01 - 2021-01
2021-01 - 2021-01
• Created user segmentation model using K-Means clustering algorithm for customized marketing campaigns.
• Developed a customer churn model using SVM to evaluate the behaviors and attributes of current and former users.
• Created Dashboards for monitoring the app performance and errors using GCP-Data Studio.
2020-08 - 2020-12
• Automated the data acquisition process by connecting AWS DynamoDB to collect the data generated by University Lab's IOT Sensors using Boto3.
• Developed a a web application that is able to feed input from IOT
2018-08 - 2020-12
Akademisk bakgrund
2022-10 - 2020-09
2007-01 - 2010-01
2004-01 - 2007-01