Data Python

Priya Sinha

** ***** ****

Patna, India

+91-790*******

**************@*****.***

https://github.com/Oprishri

ABOUT ME

Having a mathematical background in bachelors and now I am pursuing a Master’s in big data analytics from Central University of Rajasthan. I have ample experience in Python and R. I have done some projects in the area of machine learning, deep learning and statistics.I am a hard-working girl who never stops until her goals are achieved. OBJECTIVE

A proactive and fast learning individual seeking for an internship opportunity. So that I can enhance my data science skills and can also provide benefit to company by my skills. QUALIFICATION

Master of Science (M.Sc) in big Data Analytics. (2018 – 2020) Central University of Rajasthan

GPA: 6.67

Bachelor of Science (B.Sc) - Hons Mathematics (2014 - 2017) Patna Women's College

Percentage : 76.63

XII (Senior Secondary), Science (2012-2014)

CBSE Board (DAV Public School)

Percentage : 84.80

X (Secondary),Science (2012)

Foundation School Buxar,CBSE Board

CGPA : 9.8

CERTIFICATION

• Neural Networks and Deep Learning(Coursera)

PROJECTS

Predicting the Price of Bitcoin Using Deep Learning.(Banking analytics) In this project, we have worked on a time series data of bitcoin and blockchain-

• Worked on a bitcoin dataset and hashrate and difficulties of blockchain dataset

• Used single variate and multivariate approach

• With the help of LSTM mode, predicted the price of bitcoin. Protein function prediction using Recurrent Neural Network(Healthcare analytics) In this project, we have predicted the protein function directly using its protein sequence-

• Created the k-mers of protein sequence

• Converted the gene ontology number into alphabet

• With the help of RNN model, training, testing the model and prediction have done protein function.

Recommendation system based on Matrix Factorization(Market analytics) In this project, we have implemented matrix factorization technique-

• We have created rating matrix and predicted the rating of users where user haven’t given the rating for the movie with help of gradient descent.

• We have optimized the parameter user matrix and movie matrix withe the help of optimization algorithm such as simple Gradient Descent, line search, sliding window, Particle Swarm optimization.

• After predicting the ratings, we have recommend the movie based on their likes. Demand forecasting of Items (Supply chain analytics) In this project, we have predicted the demand of items.

• Used an online retail dataset of gift shop, we clustered (used k-prototype clustering algorithm) the similar type of items.

• Classified the test data for its cluster number.

• Taken all variable together and predicted the demands of items. Stock market movement by analyzing tweets

In this project, we were finding whether twitter data can contribute to the stock market movement or not.

• Collected raw data from twitter using R Twitter API. Using natural language processing and other python tools, converted it into time-series data.

• Used Granger Causality test and found twitter sentiments can predict the movement of the stock market.

Statistical analysis of survey on University Feedback Form In this project, we have done three steps-

• Data collection through online and offline mode

• Data cleaning and visualisation

• Applied chi square test to check dependency or independency of aattributes. SKILLS

• Languages: Python, R, SQL.

• Software & tools: Rstudio, Hadoop, Pig, Hive, Sqoop, Jupyter, Spyder.

• Machine learning:

• Classification

• Regression

• Clustering

• NLP

• Topic modeling

• ML libraries Numpy, Scipy, Scikit-learn, TensorFlow, Keras, Pandas Matplotlib

• Knowledge of Deep learning ( Neural Network, Convolutional Neural Network, Recurrent Neural network,LSTM)

• Exploratory data analysis and statistics modeling

• Familiar with advanced optimization algorithm

• Sequence alignment algorithm in Bioinformatics

• Familiar with Time series and forecasting

• Map-reduce framework (Hadoop)

• Familiar with Amazon web services

• Ability to work in a team environment

• Good presentation skills

HOBBIES

Cooking, crafting, Dancing.

Learning new things.

OTHER INFORMATIONS

HackerRank : https://www.hackerrank.com/sinhapriyapssp kaggle: h ttps://www.kaggle.com/sinhapriyapssp

Linkedin: https://www.linkedin.com/in/priya-sinha

Github : https://github.com/Oprishri

REFERENCE

Dr. Vikas Kumar (Assistant Professor)

Mb. no: 807-***-****

Email: *****@*****.**.**

Dr. Manas Patra (Associate Professor)

Mb. No :943-***-****

Email: manas.patra @curaj.ac.in

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