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Software Engineer | Java | Python | Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
LinkedInAutoConnect
February 20, 2023 – February 20, 2023
Chrome Extension to automatically send request based on search results.
View ProjectNetflix_trivia_CLI_APP
November 30, 2020 – November 30, 2020
Netflix_trivia_CLI_APP — GitHub repository
View ProjectPotholes_detection
September 17, 2020 – September 17, 2020
Potholes_detection — GitHub repository
View ProjectEmotion-Recognition-system
May 3, 2020 – June 3, 2021
Recognition of human emotions such as happy, sad, angry, surprised etc from their face using Convolutional Neural Networks.
View ProjectTraffic_Sign_Classifier
April 26, 2020 – June 3, 2021
Classifies traffic Sign from 43 different classes.
View Projectsentiment-analysis
August 2, 2019 – October 26, 2019
TWITTER SENTIMENT ANALYSIS OF DONALD TRUMP'S TWEETS DATASET
View ProjectIDENTIFY-APPARELS-WITH-IMAGE-CLASSIFICATION
June 11, 2019 – April 17, 2020
Identify and categorise the apparels into the correct categories (Shoe, Top, Trouser etc.) using just the image of the apparel.
View ProjectHOUSE_PRICE_PREDICTION
March 21, 2019 – October 21, 2019
Prediction of house prices using MACHINE LEARNING.
View ProjectVOICE-CONTROLLED-HOME-AUTOMATION
March 13, 2019 – June 3, 2021
(IOT PROJECT) HOME AUTOMATION VIA VOICE CONTROL USING NODEMCU
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal learning and exploration in data science and related fields. The diversity of projects, from image classification to IoT, suggests a curious and self-driven individual. However, the lack of professional experience or team-based projects makes it difficult to fully assess cultural fit in a collaborative work environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.