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Python Data

Location:
BTM Layout Stage 1, Karnataka, India
Salary:
25,0000
Posted:
December 04, 2019

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Resume:

RAHUL CHARAN

Mobile Number = +91-701******* E-mail = adaz0p@r.postjobfree.com

LinkedIn = https://www.linkedin.com/in/rahulcharan/ StackOverflow = https://stackoverflow.com/users/10942935/rahul-charan Kaggle = https://www.kaggle.com/rahu7292

GitHub = https://github.com/rahul-72

CAREER OBJECTIVE :

I am seeking a challenging and competitive environment where I can serve for your organization and establish an enjoyable career for myself. WORK EXPERIENCE:

Python Trainer : Grras Solution pvt ltd Jaipur.

Sep 2014 – Aug 2016

I had provided training to college level students and IT professionals in python. Python Developer : GIP Technologies Pvt. Ltd, Jaipur. Feb 2018- July 2018

Performed data entry and other clerical work as required for project completion

web development using Flask/Python, working with JSON files.

Coordinate, communicate and provide technical support to other functional groups relating to web applications.

Data Scientist : GIP Technologies Pvt. Ltd, Jaipur. Aug 2018-Present

Undertaken project for IP-TV product as data scientist. Developed data analytics and machine learning solution for digital media client capturing customer’s behavioral pattern, identify and increase potential business.

Provided training to my colleagues and other members in data science.

Provided consultancy to clients about benefits of data science. PROFESSIONAL SKILLS :

Data Science, Python, Data Mining, Data Wrangling

Statistical Analysis, Machine Learning, Deep Learning, Data Visualization

Tableau, Kaggle, Github, Linux, Tkinter, Mariadb

Team Work, Strong Communication Skill, Problem Solving skill

Hadoop, Apache Spark, Apache Sqoop, Apache Hive, Apache Flume PROJECTS :

Media Analytics for IP-TV product: Developed hybrid recommendation solution to capture

& increase potential business of the client by analyzing their customer’s behavioral pattern, including-

- User Sentiment Analysis

- Web Scraping for single page/ multiple pages

Technology Used = Python, Machine Learning Concepts.

Image Classification of Dog and Cat :-

Description = With the help of Neural Network I have classified the images of dog and cat. Model is predicting with an accuracy of 80+.

Technology Used = Deep Learning, Python, CNN, Tensorflow. Project Link = https://github.com/rahul-

72/dog_cat_ImageClassification/blob/master/dog_cat_classification.ipynb

House Price Prediction :-

Description = Predicting the prices of House on the bases of many features. The dataset is from kaggle. Used regression models like Linear Model, Random Forest, SVR, Decision Tree.

Technology Used = Regression models, PCA, k-cross fold, feature engineering, scikit learn.

Project Link = https://www.kaggle.com/rahu7292/regression-from-scratch-house-price- prediction

Predicting Quality of Red Wine :-

Classification Problem, here I have predicted the quality of red wine rating from 1 to 5 on the bases of features like PH, chlorides, density, citric acid etc. Here I have used all classification models like Logistic regression, SVM, K-NN, Naïve Bayes, Random Forest to compare the accuracy of all models.

Technology Used = Classification Models, Basic EDA, PCA, k-fold, scikit learn. Project Link = https://www.kaggle.com/rahu7292/classification-from-scratch-wine- quality-predict

Black Friday Sale Prediction :-

Predicting the sale of Black Friday Mall, Regression Problem. Project Link = https://www.kaggle.com/rahu7292/eda-regression-classification-from- scratch

Bank Loan Status Prediction :-

Predicting the status of loan that the loan will be paid or not. Classification Problem, Logistic regression, Random forest. PCA, Feature engineering. Project Link = https://www.kaggle.com/rahu7292/ml-from-scratch-with-loan-status- prediction

Google Stock Prediction :-

Predicting the stock prices from google’s public dataset with the help of RNN,a deep learning concept. RNN is more powerful when to predict stock prices by it’s short term memory.

Project Link = https://github.com/rahul-

72/google_stock_prediction_with_RNN/blob/master/google_stock_prediction.ipynb

Exploratory Data Analysis (EDA) On 6 Datasets:-

I have done EDA on 6 datasets. They are Climate change dataset, Kaggle 2018 survey dataset, KIVA crowdfunding dataset, Indian Premier league dataset, Indian startup funding dataset, H-1B VISA dataset.

Technology Used = Python, pandas, matplotlib, Numpy, plotly(interactive graph), Seaborn.

Project Link = https://www.kaggle.com/rahu7292/kernels All projects are on my Kaggle account.

COURSES AND CERTIFICATES :

.

Python for Data Science and Machine Learning from Udemy. Certificate link = https://www.udemy.com/certificate/UC-7B9HMCMV/

Machine Learning course by Andrew Ng from coursera. Certificate Link =

https://www.coursera.org/account/accomplishments/verify/XEK9XK2L8WQL

Machine Learning course by Kirill Eremenko from Udemy. Certificate Link = https://www.udemy.com/certificate/UC-CSI4QO7C/

Deep Learning hands-on Neural Network from Udemy. Certificate Link = https://www.udemy.com/certificate/UC-J9O1FLTL/

Statistics for Business Analytic and Data Science from Udemy. Certificate Link = https://www.udemy.com/certificate/UC-JSO4Y1CJ/

Tableau course from Udemy.

Certificate Link = https://www.udemy.com/certificate/UC-T272IH5W/

Apache Spark certificate from Udemy.

Certificate Link = https://www.udemy.com/certificate/UC-47GFRBVM/ ACADEMICS :

I have completed B-tech in computer science in 2017 from JECRC college Jaipur (Rajasthan). HOBBIES AND INTEREST :

Playing Cricket, Playing Badminton, Walking

Listening songs

Watching Movies, Cricket match, Comedy show

Reading Newspaper, Watching NEWS



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