Ankit Gupta
Data ScientistKarnataka, IndiaMember since June 20, 2026
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
parallel-mean-shift
November 4, 2020 – November 4, 2020
parallel-mean-shift — GitHub repository
View ProjectDAA-project
November 3, 2020 – November 28, 2020
Implementing Edmonds matching Algorithm, Drake-Hougardy's Matching Algorithm.
View ProjectMachine-Learning-Approach-to-Software-Requirements-Prioritization
October 27, 2020 – November 27, 2020
Using Genetic Algorithm to prioritize the software requirements of a project
View ProjectMachine-Learning-Coursera
May 24, 2020 – June 3, 2020
Machine learning course by Andrew ng on coursera programming exercises solutions.
View ProjectDriver-drowsiness-detection-
November 8, 2019 – October 1, 2020
Driver Drowsiness System intermediate-level Python project. A countless number of people drive on the highway day and night. Taxi drivers, bus drivers, truck drivers and people traveling long-distance suffer from lack of sleep. Due to which it becomes very dangerous to drive when feeling sleepy. The majority of accidents happen due to the drowsiness of the driver. So, to prevent these accidents I build a system using Python, OpenCV and Arduino which will alert the driver when he feels sleepy. Drowsiness detection is a safety technology that can prevent accidents that are caused by drivers who fell asleep while driving. The objective of this intermediate Python project is to build a drowsiness detection system that will detect that a person’s eyes are closed for a few seconds. This system will alert the driver when drowsiness is detected.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a diverse range of interests, from machine learning to web development and cybersecurity. This breadth could indicate adaptability and a willingness to explore different domains. However, the depth in any single area, particularly Data Science, is not extensively demonstrated. The personal nature of all projects suggests self-motivation, but there's no information on collaborative work or team dynamics.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.