Machine learning

DANDOLU JAYASREE Email : ****************@*****.***

Mob No. +91-861*******

Objective:

Seeking challenging environment that encourages continuous learning and Creativity providing exposure to new ideas and stimulate personal and professional Growth.

Education:

Qualification

Name of institute

Board

Year of passed out

CGPA/Percentage

B.Tech-EEE

KMM Institute of Technology & Science

JNTU Anantapur, AP

2017

67%

Intermediate

Sri Chaitanya Junior college,

Tirupati.

Board of intermediate

Education, Andhra Pradesh.

2012

91.5%

X

Siddhartha English Medium High School, Tirupati

SSC, (State Board of Andhra Pradesh)

2010

90%

Technical Skills:

Programming Languages : Data science(python,machine learning),c,java.

Operating systems : Windows 98/XP/VISTA, Windows 7.

Software packages : MS office,

Database :SQL server.

Experience:

I did an internship in the sentiment analysis with GFactors from 1st oct to 31st oct 2019.

Achievements:

SECOND position in the competition of essay writing on If I become Police at Tirupati level.

Received Gold Medals in both X and Intermediate for best performance in academics.

Winner of the district level quiz competition conducted by BOOST during school days.

Extra-Curricular Activities:

Member as a volunteer in college conducting Events and Programmes.

Managed as SPL in Siddhartha English Medium High School.

Attended several technical seminars given by professionals of industry and academia.

GOALS:

Immediate Goal – Get the placement in reputed organization.

Long Term Goal – Get the technical knowledge and move to management level.

Strengths:

Good Leadership Qualities.

Good Communication and Writing skills, Fast learning abilities

Team work and being able to maintain friendly relations with colleagues.

Being a self-starter.

Ability to cope up in any kind of environment in a very little time.

Project profile:

Project 1:

Title The Impact of Wind Power Implantation in Transmission system.

Role Team Member

Duration Two Months

Team Size Five Members

Description:

The use of renewable energy sources in world will increase, leading to a more sustainable energy mix, reduced greenhouse gas emissions and a lower dependency from oil. Wind power is one of the renewable energy sources that have virtually no environmental problems; it is one of the fastest growing sources of energy in the world. In industry, the wind power creates new jobs, encourages innovation. Most research on wind power has been concerned with producing electricity. This effort restarted in the United States in the early 1970s. However, the largest disadvantage of wind energy is the lack of exact predictability and its fluctuations, which are causing problems in the power flow of transmission system when the weak nature of the grid in remote areas and the uncertainty of wind are taken into consideration.

Roles & Responsibilities:

Take care of Wind power integration at transmission level focused in the global system control

Maintain power balance between generation and demand, that is, security and supply.

Find the Wind power integration at distribution level focus on more local power quality problems

I have taken care of Distribution network operators power quality, which means that the voltage seen by consumers.

Checked Wind power has impacts on power system operational security, reliability and efficiency.

Project 2:

Title Flight Punctuality Prediction.

Role Team Member

Duration Two Months

Team Size Four Members

Description:

The U.S. Department of Transportation's (DOT) Bureau of Transportation Statistics tracks the on-time performance of domestic flights operated by large air carriers. Summary information on the number of on-time, delayed, canceled, and diverted flights is published in DOT's monthly Air Travel Consumer Report and in this dataset of 2015 flight delays and cancellations.

Rolls and Responsibilities:

Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability.

Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world.

Verifying data quality and ensuring it via data cleaning. Supervising the data acquisition process if more data is needed.

Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas.

Personal Details:

DOB : 10/08/1995

Age/Sex/Nationality : 24/f/Indian.

Languages known : English, Telugu, kanada.

Address for Communication : H.No.8, Dattratreya Nilaya, 1st Main, 1oth Cross,

Vijaya Bank Colony, KR Puram, Bangalore-560036

Declaration:

I hereby declare that all the above information furnished by me is true to the best of my knowledge and given an opportunity, I shall definitely prove my worth.

(D.Jayasree)

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