Python, SQL, Advance Excel, Data Analysis

achine Learning Algorithm

CURRICULUM

VITAE

PROGRAMMING SKILLS:

PYTHON

MACHINE LEARNING

SQL

PANDAS, NUMPY

PERSONAL SKILLS:

Adaptability

Time Management

Creativity

Communication Skills

OPERATING SYSTEMS:

Windows 7, 8, 10

PERSONAL INFORMATION:

Date of Birth: 24th -March-1995

Sex: Male

Nationality: Indian

LANGUAGES KNOWN:

English (Read/Write/Speak)

Hindi (Read/Write/speak) Odia

(Read/Write/Speak)

HOBBIES:

Market trading

Watching Reality Shows

Learning New Things

RANJIT KUMAR SAHU

Phone: +91-977*******,

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

Github: https://github.com/Ranjitkumarsahu1436

Career Objective

• To work in Competitive and Challenging environment, where I can apply my analytical and technical skill to attain an optimum perfection for the development of my career and company

Education Qualifications

• MA (Financial Economics) from Madras school Of Economics, 2017-2019 with 65%.

• B Tech (Electrical & Electronics Eng.) from Biju Pattnaik University, 2013-2015 with 70%.

• Diploma (Electrical Eng.) from Gandhi School Of Eng., 2010-2013 with 70%.

• BSE, 2010 From Narasingha Das High School

Working Experience

Aug-2019-Present

Srinidhi Group (Swamy & Swamy pvt.ltd), Chennai

Responsibility

• Gather data about consumers, competitors and market conditions.

• Analyze data using statistical software.

• Create charts, graph, and balance sheets.

• Use Excel functions to organize and analyses data.

• Develop a commodity market trading dashboard using python tool (Data Science Project)

Certification Courses

• Participation workshop conducted on “Data Science using Python”.

• Python for Data Science Working on Numpy, Pandas,Matplotlib, Sci-kit learn, Scipy library.

• Certification in Time Series Analysis in Python. (Udemy)

• Certification in Python3 Tutorial Course. (SOLOLEARN)

• Certification in Oracle 11g (DBMS) Course. (Nareshit) Academic Projects

Key Soft and Tech Skills

Technical Areas of Interest

Data Science Projects

1. Linear Regression

2. Logistic Regression

3. Random Forests

Predicting the survival of Titanic passangers (using Logostic Regression).

Predict wheather an employe will purchase SUV .

Time Series analysis with ARIMA model (Python & R).

Term paper on Education and Economic Growth: An Empirical Study.

Term paper on Study of Non-performance asset.

Data Mining and Statistical Analysis.

Database Management and Architecture.

Data Visualization and Presentation.

Operations-Related Data Analytics.

Market-Related Data Analytics

Excellent Interpersonal skills.

Quest for challenging work.

Hard Working & good time management.

Ability to learn fast and grasp.

Machine Learning Algorithm

Contact this candidate