Chandra P.

Chandra P.

Data Scientist & Analytics, Digital Analytics and Market Disruptor, C-Networker and belive in Change

Bengaluru , India

Experience: 12 Years

Chandra

Bengaluru , India

Data Scientist & Analytics, Digital Analytics and Market Disruptor, C-Networker and belive in Change

32029.4 USD / Year

  • Immediate: Available

12 Years

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About Me

Chandra is an influential Data Scientist with diversified skillset and proven track record in Data Analytics, and Product Engineering.

He has experience in delivering end....

He has experience in delivering end to end Data Science Project from Ideation to Evaluation and Model Deployment involving complete Data Science Lifecycle 

 

Offerings – Data Science/Analytics, Business Dashboard, Digital Analytics, Web Scrapping, Product Lead Generation, Product Packaging & Marketing, IoT, AI, E-Commerce

Business Skills – Account Growth/Management, Business Mining, Digital Marketing, Making C Level Connects, Key Vendor Development, Building Business Pipeline, running Sales Campaigns, Strong leadership, Project Management, P&L management, Data-driven strategy, Project planning and execution skills.

 

 

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Skills

Software Engineering

Graphic Design

Portfolio Projects

Project Overview: Building a machine learning model/dashboard for HR teams. Working on Text analytic

Company

Project Overview: Building a machine learning model/dashboard for HR teams. Working on Text analytic

Role

Data Scientist

Description

 

Project Overview: Building a machine learning model/dashboard for HR teams. Working on Text analytics, used machine learning and NLP, Bag of words, Count vectorizer and Tfidf , NER (Name Entity Recognition) approach. Also used machine learning algorithms such as SVM, Naive Bayes, KNN etc for Text Classification. Built a Recommendation system on Resume data and also working on Predictive modelling using Random Forest.

 

 

  

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Infrastructure Ticket Analytics. Text mining on the description of various infrastructure tickets

Company

Infrastructure Ticket Analytics. Text mining on the description of various infrastructure tickets

Description

Project is for Infrastructure Ticket Analytics. Text mining on the description part of various infrastructure tickets to convert them into a meaningful Error category. Performed text mining, word cloud formation & topic creation using Python programming and model creation using Multinomial Regression or SVM Technique Also used machine learning algorithms such as SVM, Naive Bayes  amd others Algorithim.

 

  

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Recommendation Engine: The project is for Ecommerce retail company on Fashain Products.

Company

Recommendation Engine: The project is for Ecommerce retail company on Fashain Products.

Description

 

Project Overview: The project is for Ecommerce retail company. Built a Content-based recommender systems for the fashion/clothing products. Used Text Analytics, NLP, Count vectorizer, Tfidf machine learning, cosine similarity approach.

  

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Client Onboarding for International Bank and understanding the different kind of accounts performanc

Company

Client Onboarding for International Bank and understanding the different kind of accounts performanc

Role

Data Scientist

Description

 

Project Overview: Understanding the different kind of accounts in terms of performing well. Worked on Customer Segmentation & Targeting. 

Worked on Sentiment Analysis for customer feedback using Naive Bayes classification. Worked on clustering techniques.

  

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