BANISETTI DEVI NEEHARIKA Computer Science Engineer [ devineeharika.b17@iiits.in ̄ devi neeharika banisetti https:/ /github.com/devineeharika Ó 7013521382 EDUCATION Bachelor of Technology,CSE IIIT,Sri City August 2017 – present Grade: 8.42 SKILLS Programming C , C++ , Python,java Software Packages and Frameworks Tensorflow, Keras, Geo Pandas, Django, Nodejs,Caffee DataBases MySQL, MongoDB Others Algorithms, Data Structures, Information Retrieval, Ma- chine Learning, Deep Learning, statistical data analy- sis,Advanced statistical Models PROJECTS Stock Portifolio Dataset • Exploratory Data Analysis and Statistical Modelling of stock portifolio dataset. • Applied Descriptive and Inferential Statistics , Model Ad- equacy tests , Model Diagnostics , Principal Component Analysis , Factor Analysis. • Applied K Nearest Neighbours , Random Forest , Decision Trees , Bagging and Boosting for better accuracy. Automatic Question Generator • Generates questions and answers automatically using spacy library from data • Data is crawled using Beautiful soap from wikipedia tourism domain . • Data Cleaning and Data PreProcessing is done to create a dataset. E-Commerece web application • Developed a Social Media Application for shopping by us- ing django and mongodb • This Application has in built E-Commerce website, Inte- grated with recommender system and sentiment analysis Model for recommending Products based on user’s choice. • The Application is Deployed on Microsoft Azure for scala- bility. WORK EXPERIENCE Computer Vision Intern VsualThree60 May 2020 - Present ½ remote • Created an Application that detects age,gender,emotion,ethnicity and displays advertisments based on their age. • Used caffee model for detecting the face ,age,gender, vgg16 for detecting the emotions and ethnicity. Software Developer Intern Happy Adda Studios Limited sep 2019 – march 2020 ½ Remote • Developed an heutogagy app using flutter for students which helps them to revise lessons and practice them. RESEARCH PROJECTS Classification Of Memes And Non Memes Guide : Prof P.Viswanath • Extraction of features of image and text using RESNET and BERT respectively . • Using Different Methods for achieving better accuracy like using CCA etc... GeoSpatial Analysis of Soil Nutrients Guide : Prof Mainak Thakur • Implemented Kriging using Semi-variogram for different Soil Nutrients like Nitrogen, Phosphorous, Pottasium,etc. • Implemented Support Vector Regression with Inverse Weight- ing using K-Nearest Neighbours for Concentration estima- tion of Nutrients. ACHIEVEMENTS • Rank - 4 in Hacker Earth machine Learning Challenge out of 3800 participants. • (4 stars) in problem solving category of HackerRank which consists of Data Structures and Algorithms • State 1st Rank in maths olympiad conducted by Srinivasa Ramanujan Foundation in class 10. SOFT SKILLS • Time Management • Hard Working • LeaderShip • Problem Solving Skills