Link: www.linkedin.com/in/mahesh-reddy-**** Email: adj2ho@r.postjobfree.com

Contact no: +919*********

CAREER OBJECTIVE: A Highly efficient, innovative professional in Data Science & Analytics with 1 Year one months of experience INTERNSHIP AT FLUX AUTO. Building predictive models using appropriate Machine Learning algorithms in python and R with good command on statistics.

EDUCATION:

Brilliant institute of engineering technology B.Tech (Mechanical engineering) with 61.00%.

Narayana junior College (2012-2014) Intermediate (M.P.C) from Board of Intermediate, A.P with 72%.

The Oxford Public School (2011-2012) SSC from State Board of Secondary Education, A.P with 7.2 GPA%.

CERTIFICATION:

Diploma in “Data Science” from Naresh IT Technologies, Hyderabad.

TECHNICAL SKILLS:

Statistical Skills

Descriptive and inferential Statistics

EDA, Test of Hypothesis, Model validation & Diagnostic

Programming

Skills

Python, R

Machine learning skills

•Regression analysis

•Linear Regression

•Logistic Regression

•Decision tree

•Ensemble Models

•Gradient Boosting algorithms

•K-Means Clustering

•Association rule mining

•Random Forest

Support Vector Machines

Libraries

UMPY, PANDAS, SCIKIT LEARN, MATPLOT, SEABORN,KERAS

Database

SQL,MYSQL,MONGODB

Deep learning Skills

Artificial Neural Networks

Convolutional Neural Networks

Recurrent Neural Network

Image Processing

INTERNSHIP:

Role : - Data Science Intern

Company: - Flux-Auto (Bengaluru)

Duration: - NOV 2019 – Present

PROJECT

Health Care

In this project the dataset contain various variables like, patient id, age, gender, chief complaint, diagnostic codes, diagnoses, etc… Unique diagnostic code is assigned for each injury happen due to accidents or any such event. Whenever any patient admitted to the hospital with injury we have to find out the other injuries that may associated with it and also we have to predict whether the patient is going to live or not due to the associated injuries. Ex. When a patient comes to hospital with head injury we have to find out the possibility of other types of injuries that are associated with head injury.

Responsibilities:

Data is provided in csv formats for building predictive analytical models, contribute to the development and communication of recommendations

Involved in determining the important variables

Used techniques such as univariate analysis for detecting the outliers

Used bi-variate and multi variate analysis analysis to understand the relationship between the variables, missing value treatment and imputation of missing values

Used multi-collinearity analysis to understand the highly correlating variables

Used Logistic Regression using R to predict the defaulters in the customer who would not be able to pay to the bank.

Used confusion matrix to interpret the output

Deep learning:

Played a key role in this start-up in end-to-end Semantic Segmentation and Drivable Area Segmentation for an autonomous vehicle.

Worked on Lane detection

Worked on developing loss function for segmentation and detection

By using VGG tool Using this we can annotate images easily

Drivable Area Segmentation and Lane Segmentation

End-to-End deep learning model (Custom, VGG, UNet, Fast-SCNN) for Drivable Are Segmentation

and Lane Segmentation. This is very import for Autonomous Vehicles to localize itself within the road.

Object Detection

End-to-End deep learning model (YOLO V3, V2) trained on difffferent types of data-sets. For making

It works in real time worked on tweaking the architecture etc.

Responsibilities:

Worked on Data pre-processing for the autonomous vehicles

Worked on Deep Learning models & how it will perform in image data sets

Worked on object detection and segmentation architecture

PERSONAL DETAILS:

Name : K.Maheshwarreddy

Father’s Name : K.Hanumanthareddy

Date of Birth : 21-02-1997

Address : Ananthapur(d), Bukkarayasamudram(M)

Languages known : English & Telugu

DECLARATION:

I hereby declare that the information and particulars mentioned above are true and correct to the best of my knowledge and belief.

Place:

Date: (K.Maheshwareddy)

Contact this candidate