BATTA RAMA DAKSHNA MURTHY

Mobile no: 918-***-**** Email ID: adflg9@r.postjobfree.com Github:ramu537 Linkedin:Ramu Batta Career Objective

· To be part of a progressive and reputed organization that has better opportunities to enhance my knowledge and utilize my skills towards the growth of the organization. Academic Profile

COURSE

INSTITUTE

BOARD/UNIVERSITY

YEAR OF

STUDY

PERCENTAGE B.Tech (CSE)

University College of

Engineering,Kakinada

( JNTU Kakinada )

JNTU Kakinada 2017-2021 8.4(C.G.P.A)

Intermediate Sri Chaitanya College(CV

Raman Bhavan 3)

Board of Intermediate

Education, A.P

2015-2017 98.4%

SSC Sri Chaitanya techno

school,Chirala

Central board secondary

education

2014-2015 9.7/10 ( G.P.A )

PROJECTS

Recommender System:

Built recommender Systems using Demographic Filtering implemented using IMDB score, Content Based Filtering includes Plot description based Using TF-IDF Vectorizer and Meta information( Credits, Genre, Keywords ) based Using Text Processing and Count Vectorizer, Collaborative Filtering using latent Factor model in which both movies and users are mapped to r-dimensional feature space and finding similarity scores between each user and the movies as both mapped to same feature space.

Machine Learning Model To Detect Heart Diseases:

Build a baseline model for the prediction of whether the given person has heart disease or not using data from Heart Disease UCI repository. Done complete Exploratory Data Analysis on features followed by building the model using Voting Classifier combining different Classifiers includes KNN, RF, DT, Gradient Boosted DT, NN, Naive Bayes, SVM and logistic Regression. Analysis of features also done using feature importance.

Digit Recognizer using Keras:

Build a hand written digit recognizer using MNIST data set. Using 3 epochs 99 percent accuracy is attained. Model is built with following architecture Conv2D->Conv2D->Maxpool->Conv2D->Conv2D->Maxpool-

>Flatten->Dense(Fully connected)->Dense(Softmax)->output. Smart India Hackathon (Baggage detection using CCTV footage) Build a model to locate all the bags in the CCTV footage by using the Faster_RCNN-Inception_v2 algorithm and generated features for each bag through Multi Output Multi Label Classification and compiled them in Firebase Storage and found the lost baggage along with the culprit by comparing the features of lost baggage with the features of the baggage’s stored in Database. We used Tkinter of python for frontend and firebase for backend.

Technical Skills

Programming languages C, C++(Proficient), Core Java(Basics and OOP), Python(Basics)

Web Development HTML, CSS3

RDBMS MYSQL

Good Knowledge in Data structures and Algorithms, Data base management Systems, Machine Learning,

Deep learning.

Others JavaScript, MongoDB, React Native, Hands on experience on scikit-learn, Firebase, Keras.

Courses Taken

• Completed Andrew Ng Machine Learning Course in coursera(Jan 2019).

• Completed Machine Learning through python Course in coursera(Jan 2020).

• Completed Andrew Ng Deep Learning Specilazation (Upto CNN) (Dec 2019).

• Completed NPTEL Certification for DBMS.(Sept 2019)

• Data Structures and Algorithms in GeeksforGeeks(May 2020) Internship

Project: Mentorkonnect and Role: Front end developer Mentorkonnect is a project initiated by our college alumini which allows students to connect with alumini of the college.In this internship we developed an native application which can work both on ios and android. Developed few screens(mentor card,Home screen,about screen) and implemented navigation between screens(using stack, Tab and drawer navigators). Worked on Authentication using Firebase.Technologies we used are React Native,Firebase.

Achievements

Selected for SMART INDIA HACKATHON 2020.

Coding ratings:- codeforces:-1460(specilalist),codechef:-1740,Leetcode:-1540,Atcoder:- 616(15,698 rank world wide),Hackerearth:-1556 rating.

Scored AP EAMCET rank 1364.

Got 27 upvotes and 16 forks for my notebooks on machine learning in KAGGLE.

Got 3540 place in google Kickstart round B and 12195 world wide in codejam.

Participated in deep learning,nlp,regression and classification hackathons in hackerearth bagging top 4 percent rank in each of them.

Extra-Curricular Activities

Organized a techno-cultural fest “Zeitgeist” of JNTUK.

Bagged first prize in COCE cricket cup.

Worked as Class Representative and COCE representative.

Organized spell Bee in JNTUK.

I, hereby declare that the above all details are true to the best of my Knowledge.

-Batta Rama Dakshna murthy.

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