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Machine Learning Engineer

Location:
Bangalore, Karnataka, India
Posted:
October 10, 2019

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Resume:

Malle Srikanth

Machine Learning Deep Learning Computer Vision NLP

skanth859@ gmail.com

+91-630**-*****

www.linkedin.com/in/

Malle-srikanth-60440153

EDUCATION

COLLEGE STREAM PERCENTAGE VIDYA JYOTHI INSTITUTE OF

TECHNOLOGY

B.TECH

( ECE)

74

SHANTINIKETAN JR COLLEGE MPC 82

KAKATIYA HIGH SCHOOL SSC 71

EXPERIENCE

Object Detection & Instance Segmentation (M-RCNN)

Nuclei of biomedical images are detected & instance segmentation of nuclei is done using implementation of (Mask -RCNN) Object Detection (YOLO)

Build Car Detection & Object Detection (YOLO) Model, Face verification & Detection model using Tensorflow and Keras .

Loan Default Prediction

Developed Loan Defaulter’s Prediction model using Decision Tree and Random Forest algorithms with Good Accuracy .

Predicting Sentiment From Product Reviews

Trained a Logistic Regression Model to predict the sentiment of product reviews ( Positive or Negative ) .

SKILLS

Good Command on

scripting and programming

experience in Python .

Able to implement

Machine Learning Models from

scratch.

Great analytical skills and

excellent hands on experience in

Machine Learning techniques

such as

Decision Trees

(Random Forest), SVM,

Regression(Linear & Logistic),

K-means and Deep Learning

algorithms like CNN.

Hands on experience on

implementing ML & Deep

Learning models using tools like

Numpy, Pandas, SciKit-Learn,

Tensorflow, Keras .

STRENGTHS

Good Analytical skills and

communicating skills .

Willing to learn new Technologies

where we can be part of

“ Artificial world ”

LANGUAGES

Good in Communicating in

English, Telugu, Hindi



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