sai praneeth mudivedu

Data Scientist

https://www.opentalent.in/sai-praneeth-mudivedu

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Cerner Corporation

Key Strengths

Demonstrated interest in Data Science through multiple personal projects involving sentiment analysis and data extraction using R.
Experience with various data science techniques like Naive Bayes classifier and text classification.
Familiarity with R and Jupyter Notebook for data analysis tasks.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a diverse interest in web development (ASP.NET, PHP, HTML, CSS, JavaScript) alongside data science. While this indicates a broad skill set, the primary focus on data science projects is limited to R-based sentiment analysis and data extraction. The current role as 'Data Scientist' at Cerner Corporation aligns with the target role, but the experience level is 0, suggesting this is a very recent or upcoming role. The breadth of technologies used across projects (R, ASP, C++, Powershell, HTML, CSS, JavaScript, PHP, Ruby, Jupyter Notebook) indicates adaptability, but also a potential lack of deep specialization in core data science tools beyond R.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insight.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

HealthGuruCommunity

April 7, 2018 – April 10, 2018

HealthGuruCommunity — GitHub repository

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JASS-PAM

March 13, 2018 – March 13, 2018

JASS-PAM — GitHub repository

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HealthGuru

January 23, 2018 – January 23, 2018

Health Chat Bot

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Data-Analysis-using-python-Udemy

May 9, 2017 – May 9, 2017

stockmarket analysis and titanic project

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sai-praneeth-mudivedu-site

December 28, 2016 – December 28, 2016

This is my personal website made by using materialize css

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Opinion-mining-for-Mcdonalds-services-using-machine-learning

December 8, 2016 – December 8, 2016

Text classification and NLP for McDonalds reviews using Machine learning techniques. Finding emotion and polarity results of the McD reviews using different ML algorithms. The reviews was extracted from the TripAdvisor site using tripadvisor API.

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Twitter-sentiment-analysis-using-RShiny

December 8, 2016 – December 8, 2016

Finding opinion and emotion of the tweet using naive bayes algorithm. The web application was developed using RShiny and R as a programming language.

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sentiment-classification-for-McDonalds-reviews-using-naive-bayes-algorithm

September 19, 2016 – November 5, 2016

finding sentiment,emotiona and polarity for McD reviews using naive bayes classifier in R

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Extracting-reviews-fromTripadvisor-using-R-programming

August 20, 2016 – August 20, 2016

To extract reviews, ratings, id from the Tripadvisor places..

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Grocery-store-ASP.NET

May 5, 2016 – May 5, 2016

This project is done using ASP.NET sessions,soap header,web service,cookies etc..

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Key Strengths

Demonstrated interest in Data Science through multiple personal projects involving sentiment analysis and data extraction using R.
Experience with various data science techniques like Naive Bayes classifier and text classification.
Familiarity with R and Jupyter Notebook for data analysis tasks.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insight.

sai praneeth mudivedu

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit