Udita Ghosh

AI Researcher

Los Angeles, California, United States6 yrs 6 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in Computer Vision and Machine Learning.
Proven experience in developing real-time collision detection systems.
Strong background in data analysis and visualization.

Stackforce AI infers this person is a Data Scientist with expertise in Computer Vision and Machine Learning.

Contact

udighosh@gmail.com LinkedIn

Skills

Core Skills

Computer VisionMachine LearningData ScienceData VisualizationCredit AnalysisProgramming

Other Skills

Artificial Intelligence (AI)Big Data AnalyticsCC programming languageC++Data collectionDatabase managementDeep LearningFeature selectionImage ProcessingImage and video processingLeadershipMATLABMachine Learning AlgorithmsManagement

Experience

University of california, riverside

Graduate Student Researcher

Sep 2022 – Present · 3 yrs 6 mos · California, United States

Reinforcement Learning, Computer vision, Robotics

Reinforcement LearningComputer visionRoboticsComputer VisionMachine Learning

Zendrive

2 roles

Data Scientist 2

Jul 2020 – Jul 2022 · 2 yrs

Data Scientist 1

Jul 2019 – Jun 2020 · 11 mos

Project title: Convolutional Neural Network-based Deep Learning model and multimodal wavelets using mobile sensor time-series data to detect small vehicle collisions in real-time.

Earlysalary- instant salary advance for employees

Research Intern

May 2018 – Jul 2018 · 2 mos · Pune, Maharashtra

Project Title: Development of Behavioural Scorecard for NBFC
Individual Role: Data collection from PostgreSQL, Data visualization with Tableau, feature selection, modeling, credit analysis

Data collectionData visualizationFeature selectionModelingCredit analysisData Science+1

Indian institute of technology, kharagpur

Summer Project Intern

May 2016 – Jul 2016 · 2 mos · Kharagpur, West Bengal

Guide: Prof. Rajat Subhra Chakraborty
Project Description: The project involved modification of the source code of a simulator of Philips Hue lighting system. A two-way authentication was imposed between the virtual bridge of the lighting system and the client by exchanging bit stream obtained from hash function as well as managing the database of Challenge Response generated by PUF along with client database.
Individual Role: Programming in python to meet the target of two way authentication inspired by Deffie Hellman algorithm

Programming in PythonProgramming

Indian statistical institute, kolkata

Summer School Intern

May 2015 – Jul 2015 · 2 mos · Kolkata, West Bengal

Project Title: Traffic survey with the help of image and video processing
Guide: Prof. Bhabatosh Chanda, ISI Kolkata.
Individual Role: Object recognition by Morphology of Image Processing and Connected component labelling algorithm using MATLAB, Point Feature Matching for Video Stabilization.

Object recognitionImage ProcessingVideo StabilizationComputer Vision