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Machine Learning, App Development
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
xss-attack-detection
April 26, 2020 – October 5, 2020
This package helps to filter the input text that is malicious and intended to attack the server.
View ProjectAndroid-ML-
December 30, 2018 – January 2, 2019
Built a machine learning model from scratch using Keras. Then deployed to android for real time application.
View ProjectDesign2Code
October 7, 2018 – January 2, 2019
Produces the corresponding UI code in response to input layout image.
View ProjectInstagram-Hastags-Predictor
September 8, 2018 – October 5, 2018
Instagram-Hastags-Predictor — GitHub repository
View ProjectStackOverflow-Chatbot
August 19, 2018 – August 19, 2018
A simple conversational chat-bot that will assist you with search on StackOverflow website. Tasks involved to develop are text classification, named entities recognition, duplicates detection and machine learning.
View ProjectAadhar-Card-OCR
July 16, 2018 – July 17, 2018
Aadhar Card OCR parser built using computer vision and machine learning in order to extract useful information and primarily aadhar number.
View ProjectKeras-Model-to-tensorflow-frozen-.pb
July 10, 2018 – July 10, 2018
Keras-Model-to-tensorflow-frozen-.pb — GitHub repository
View ProjectAndroid-Chatbot
May 19, 2018 – October 17, 2018
AI optimized android chatbot with speech recognition.
View ProjectSleepy-Driver
May 16, 2018 – May 16, 2018
Raises an alert if user is found drowsy. Implemented using computer vision and facial marks of a human. Applicable to driving and studying.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong individual initiative and a passion for applying AI/ML to various problems. However, all projects are personal, which limits insight into team collaboration or experience in a structured organizational environment. The diversity of projects (image processing, NLP, recommendation systems, security) indicates a broad interest in data science applications. The target role is 'Data Scientist', and the projects align well with the technical aspects of this role, particularly in applied machine learning.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are concise, but there is no information on collaboration, problem-solving approaches, or communication style in a team setting.