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Computer Engineer and Data science enthusiast.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
fivetran-snowflake-dbt
February 13, 2022 – February 13, 2022
fivetran-snowflake-dbt — GitHub repository
View Projectmulti-class-text-classification
March 20, 2021 – March 20, 2021
Text classification for multiple classes
View Projectlinear-poly-regression
December 19, 2020 – December 19, 2020
Predicting probability of getting into a college based on several features using Linear and Polynomial Regression
View ProjectProduct-Recommendation-Engine
December 14, 2020 – March 20, 2021
A complete cross geography recommendation system
View Projectservice-now-automation
December 14, 2020 – December 14, 2020
Automation of creation of incidents in Service Now using Selenium Library in Python
View ProjectSentimentComparison
April 23, 2019 – April 27, 2019
A system which compares the algorithms, Naive Bayes, SVM and Random Forest for sentiment analysis of product reveiws.
View ProjectSentiment-Analysis-MultinomialNB
January 3, 2019 – February 5, 2019
Sentiment analysis of 1000 Amazon reviews showing thr parameters - precision, recall, accuracy, F1 score and support.
View ProjectCultural Fit Analysis
The candidate's personal projects show initiative and a self-driven approach to learning and applying technical skills, particularly in Python and machine learning. The diversity of projects, from data science to automation, suggests adaptability. However, without professional experience or team-based projects, assessing collaboration and broader cultural fit is limited.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's projects indicate an ability to work independently on technical tasks.