Rahul Mishra

Ratios matter in Data Science. Dreams should be big and worries small.

- Damian Mingle

Rahul Mishra

Senior Data Scientist
Reliance Industries Limited
Experienced Data Scientist with a demonstrated history of working in the information technology, Machine learning, predictive modelling, automated anomaly detection etc. Skilled in Python, SQL, Requirements Analysis, Business Development, and Big Data. Strong engineering professional with a BSC focused in Computers Science from OES.
Python Data Wrangling Machine Learning
  • Reliance Industries Limited
    Senior Data Scientist
    Worked closely with the engineering team to improve machine learning infrastructure and data quality Worked with product managers, domain experts and customers to identify new value opportunities from data driven insights. Built chatbots using NLP libraries in python. Performed sentiment analysis on customers review related to home broadband services using text blob Used deep learning libraries like Tensorflow to predict economic situation of Gulf countries since it directly impacted the crude oil prices.
    2018 - Current
  • Tata AIA Life Insurance
    Data Scientist
    Conducted data exploration and discovery on geolocation data, online behavioural data. RPA - Worked on robotics process automation projects for signal processing through IOT devices that collected health data. Built visualisation to demonstrate finding to stakeholders. Built insurance recommender system using deep learning libraries like Tensorflow.
    2018 - 2018
  • Taikun LLC
    Data Scientist
    Programming Language : Python Data Science : Scikit learn, Machine learning, Pyplot, GGplot, Django, Charts.js, Anaconda Navigator, Numpy, Pandas Advertising : Google Adwords, BingAds, PropellerAds, Facebook Ads Others : Excel, Sublime Text Data Science Projects : Data Visualisation : Created graphs from data in advertising channels in Google adwords, BingAds etc using visualisation tools like Pyplot and Ggplot for presentation to CEO, Investors and team members Problem Solving : Building ML classifiers and creating custom features from existing data to predict the upselling trend for existing customers using data like ethinic background, age, frequency of buying, satisfaction level etc . Algorithms used : SVM, Random forest, decision trees, Naive bayes
    2013 - 2018
  • Khalsa College
    Biological Sciences
    2009 - 2012
  • Carlox Teacher's University, Ahmedabad
    2012 - 2015

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