Dhanalaxmi C

*rd year (*th Semester), Electrical & Electronics,

Dayananda Sagar College of Engineering, Bangalore

8.83 CGPA

Ejipura, Bangalore - 560047

(91-821-****-***

adarw3@r.postjobfree.com

READ/WRITE/SPEAK

ENGLISH, TAMIL, HINDI

OBJECTIVE

Build a career path to become a renowned technologist in Machine Learning.

CERTIFICATIONS

Certified Data Scientist (certification from IABAC) JUNE 2018 - SEPTEMBER 2018

PYTHON 3 BIBLE (Certification course from Udemy)

OCTOBER 2018

First Course on Deep Learning (an OneForth Labs initiative by professors of IIT Chennai)

FEBRUARY 2019 - APRIL 2019

Machine Learning A - Z : Python (Udemy)

JUNE 2019 - JULY 2019

MySQL for Data Analytics & BI (Udemy)

JUNE 2019

Arduino workshop (2 days)

Workshop on Robotics organised by TimesWorld Group in association with govt of India and All India Council for Robotics and automation

Under 25 Summit ( 1 Day )

Two day event on leadership & lifestyle by social influencers Personality Development from CIL (4 Days)

EDUCATION

Bethany High, Bangalore — XII Standard ( ISC Board ) JUNE 2013 - APRIL 2015

Secured 92% in ISC board exam and also the school 3rd rank. INTERNSHIP

Undergoing 6 weeks of

internship with SIEMENS

GAMESA RENEWABLE ENERGY

ENGG CENTER, BANGALORE

(June 2019 - July 2019)

SKILLS & KNOWLEDGE

Java, Python 3

Data Science - Regression,

Decision tree, Random Forest,

Pandas, Numpy, sklearn, NLP

Deep Learning - MP Neuron,

Sigmoid Neuron, Perceptron,

CNN, ANN

Agile Development

Methodology

Microcontroller(8051)

Programming

MATLAB

AWARDS & ACTIVITIES

3rd place - Secured school 3rd

place in 12th ISC Board

BSO(Bethany Student Officer)

- 10th and 12th standard

Scribe - Board exam Scribe for

a Physically challenged 10th

standard Ward

Bethany High, Bangalore — X Standard ( ICSE Board ) JUNE 2013

Secured 89.8% in ICSE board exam

MACHINE LEARNING PROJECTS

Employee performance analysis

Technology Used:Python 3, Random Forest

Team Size:Self

Description:

To obtain a trained model to analyse the employee performance department wise and to predict the top 3 factors affecting employee performance.

The data consisting of several missing values was first cleansed and label encoded. Since the data is random, I have used Random Forest algorithm to train the given real world data. The data is randomly permuted using Random Forest, at each step, to obtain the desired result.

Predict Telecom Customer churn rate

Technology Used: Python 3, Logistic Regression

Team Size:Self

Description:

The objective of this project is to predict the churn of the customers for Telecom Industry. I was given the real world training data.

Since the prediction to be arrived is binary output, I have chosen Logistic regression algorithm to train the model, which provided 100% accuracy.

Microcontroller based LED project

Technology Used:Keil software

Team Size:4

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