firstname.lastname@example.org +91-700******* Bangalore, India Porolio LinkedIn Github EDUCATION
• Natural Language Processing
Feb 2019 – August 2019 Naࢢonal Research University
• Deep Learning Specializaࢢon
Oct 2018 – June 2019 deeplearning.ai
• TensorFlow in Pracࢢce Specializaࢢon
March 2019 – July 2019 deeplearng.ai
• Applied Machine Learning
July 2018 – Sep 2018 University of Michigan
• Python for Everybody Specializaࢢon
Oct 2018 – Jan 2019 University of Michigan
• Data Science Specializaࢢon
Nov 2017 – Oct 2018 Johns Hopkins University
• Master of Computer Applicaࢢons
June 2016 – May 2019 Puducherry, India
• Bachelor of Computer Applicaࢢons
June 2013 – May 2016 Patna, India
Data Science, Deep Learning, Machine Learning, NLP, Data Analyst.
Programming Languages & Database
C, Python, R, SQL. PostgreSQL
Framework & Liabrary
Numpy, Pandas. Matplotlib, Scikit-learn, NLTK, Spacy, Tensorflow, Keras
Leadership, Problem solving, Communicaࢢon, Collabora- ࢢon, Creaࢢve Thinking
Data Analyst Internship
Dec 2018 – April 2019 New Delhi, India
• This company provide loan for students where my work is find the details of student and set the loan features of every stu- dents where am using tools like python, postgresql, pandas and scikit-learn.
Mentor-Geࢰng and Cleaning data (Coursera)
May 2018 – Ongoing Remote
• Invited by Coursera for mentoring the final course of Data Sci- ence Specializaࢢon(Johns Hopkins University) because of my exemplary performance in course.
• It is from a kaggle compeࢢࢢon where we have to predict the future sales using Machine Learning or Deep Learning. It is a Advanced Regression Problem where Staࢢsࢢcs and ࢢme series analysis is also required
• Its data is taken by daily historical sales data. The task is to forecast the total amount of products sold in every shop for the test set. Where i create a robust model that can handle such situaࢢons is part of the challenge.
• Dialogue chat bot, which will be able to: answer programming- related quesࢢons (using StackOverflow dataset).
• chit-chat and simulate dialogue on all non programming-related quesࢢons.
• The Main objecࢢve of this project is to implement a Chatbot using Deep Learning and Natural Language Processing. The Chatbot is implemented using a Seq2Seq model which is made up of 2 Recurrent Neural Networks (RNN’s) namely the Encoder Recurrent Neural Network and the Decoder Recurrent Neural Network.
Time Series Forecast
• Unicorn Investors wants to make an investment in a new form of transportaࢢon - JetRail. JetRail uses Jet propulsion tech- nology to run rails and move people at a high speed! The in- vestment would only make sense, if they can get more than 1 Million monthly users with in next 18 months.
• In order to help Unicorn Ventures in their decision, i need to forecast the traffic on JetRail for the next 7 months. Twier Senࢢment Analysis
• The objecࢢve of this task is to detect hate speech in tweets. For the sake of simplicity, we say a tweet contains hate speech if it has a racist or sexist senࢢment associated with it. So, the task is to classify racist or sexist tweets from other tweets.