Induraj - Data Scientist PYTHON

Ref : 200224R002

95014 ILE DE FRANCE
Data Scientist (36 ans)
Totalement mobile
Bientôt freelance

Compétences

PYTHON

APACHE SPARK

Cloudera

Oracle Database 12c

Expériences professionnelles

Work Experience

Freelance -Data scientist, StudentGator, Paris, France Oct,2019 – Dec,2019
Implemented Collaborative recommendation system
Performed Forecasting of Student enrolments
Aggregated and cleaned market data and
Provided insight to Marketing team by performing data processing & visualization
on gathered dataset by web scraping (selenium)

Lecturer, ArbaMinch University, UNDP, Ethiopia Oct,2012 - Sept,2018
Designed prototype ofsix application project for digitalizing the public offices
Research analyst and developer for Pastoralist project under Ministry of IT, Ethiopia
Initiated project governing the security infrastructure in Arbaminch university
Supervised six dissertation titles of undergraduate's
Published Two Research Papers
Authored four lab manuals and lectured various subjects
Contributed Multimedia contentsto eLearning Portal
Won 3rd. price in national conference

Études et formations

Education

Master in Big Data -EISTI, Cergy 2018-Present | France
Master in Embedded System 2010-2012 | India
Bachelor of Electronics & Communication engineering 2005-2009 | India

Academic Data Science Project

Fraud deterrence in Internal Audit by NLP- Text Classification and machine learning
• Classify internal audit report and use time series analysis to label risky company
• Research to automate fraud deterrence from annual auditing report.
• Tools: Python, Google colabs, Bert, Xlnet, Laser; Dataset: ******** ;
EISTI Engineering Internships: Django Web application with Machine learning
• Built Dashboard with custom filters for data visualization
• To Forecast Employment of student, salary, choice of studies, Enterprise’s preferred by student.
• Tools: SPSS, Python, Django, MySQL, JavaScript, scikit learn kit; Dataset: EISTI database;
Patient Satisfaction Analysis, Prediction, comparison of machine learning model
• Supervised learning using Random forest, Decision Tree, Bagging
• Tools: Oracle Analytic Cloud, SPSS; Dataset: Survey from Arbaminch hospital, Ethiopia;
Pattern Analysis of Earth’s Surface temperature

• Tools: Matlab; Time series study using FFT, Spectrograms and Wavelets;
Image Processing using Embedded System and CNN– Pastoralist project, Funded by MCIT, Ethiopia
• Real time data and image processing using convolutional neural network for making informed decision
for guiding pastoralist. Tools: Raspberry pi, Python, OpenCV, MySQL

Certifications

AzureML Tableau
AWS Sage Maker SPSS
Oracle Analytic Cloud
Reinforcement Learning