Data Science | Machine Learning NSIT,Delhi
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Business-Analytics-I-EDA
May 16, 2020 – May 16, 2020
Exploratory Data Analysis using Python/SQL/Tableau
View ProjectStock-Price-Movement
June 5, 2018 – June 5, 2018
Python code for Stock Price Movement using Support Vector Machines and k-Nearest Neighbors.
View ProjectCifar-10-Prediction-ML
June 5, 2018 – June 5, 2018
Prediction of CIFAR-10 dataset using Random Forest Classifier.
View ProjectBig-Mart-Sales-III-Analytics-Vidhya
March 31, 2018 – March 31, 2018
Submission for the Big Mart Sales III problem on Analytics Vidhya, based on Genetic Algorithm Tutorial on AV.
View ProjectTitanic-Survival-Predictor
March 24, 2018 – March 24, 2018
iPyhton Notebook for the famous Titanic Survival Problem.
View ProjectStock-Market-Predictor
March 24, 2018 – March 24, 2018
Python Script which uses Linear Regression to predict future prices of stocks.
View ProjectTwitter-Sentiment-Analysis
October 14, 2017 – June 5, 2018
Python Script for sentimental analysis of tweets.
View ProjectML-Algorithms-Implemented
September 5, 2017 – May 30, 2018
Implementation of some famous Machine Learning algorithms in Python 3.
View ProjectFace-Recongnition-ML
August 6, 2017 – August 6, 2017
OpenCV based Face recognition software. Based on Coding Blocks webinar on Machine Learning.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic in nature, indicating a foundational interest in data science. However, the lack of team-based projects or professional experience makes it difficult to assess cultural fit for a collaborative work environment. The projects show a breadth of exposure to different ML problems, which is positive.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's experience level is 0, and no psychometric test results are available.