Banisetti Devi Neeharika Email : devineeharika.b17@iiits.in Github Profile link LinkedIn Profile link Mobile : +91 7013521382 Work Experience Computer Vision Intern Remote • VsualThree60 May 2020 - Present ◦ 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. ◦ The Application can be used for both Real-time Detection and Detection from Videos. ◦ Stored All the detected age ,gender,ethnicity,emotion in database and Performed Data Analysis on busiest days and busiest hours of a Retail Store. Software Developer Intern remote • happy adda studios limited september 2019 - march 2020 ◦ Developed an heutogagy app using flutter for students which helps them to revise lessons and practice them. Research Experience Classification Of Memes And Non-Memes SriCity, India • Guide: Prof.P.Viswanath January 2020 – Present ◦ Made a Literature Survey on different techniques on multimodalling ◦ extraction of features of image and text using resnet and bert respectively . ◦ Using Different Mehods for achieving better accuracy like using cca etc... GeoSpatial Analysis of Soil Nutrients SriCity ,India • Guide: Prof.Mainak Thakur January 2020- Present ◦ Implemented Kriging using Semi-variogram for different Soil Nutrients like Nitrogen, Phosphorous, Pottasium,etc. ◦ Implemented K-Means Clustering for estimating the concentration of Nutrients. ◦ Implemented Support Vector Regression with Inverse Weighting using K-Nearest Neighbours for Concentration estimation of Nutrients. ◦ Working on Implementing Deep Learning Techniques for Estimation. Education Indian Institute of Information Technology, Sri City SriCity, India • Bachelor of Technology in Computer Science; GPA: 8.4/10 July 2017 – Present Chaitanya Junior College Visakhapatnam, India • Intermediate ; GPA:960/1000 June. 2015 – May. 2017 Bhashyam High School Srikakulam, India • 10th ; GPA:10/10 april 2015 Achievements • Rank 31 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. Relevant CourseWork • Machine Learning • Deep Learning Specialization • Deep Learning • Neural Networks and Deep Learning • Computer Vision • Improving Deep Neural Networks: Hyperparameter tuning, Regularization and • Statistical Data Analysis Optimization • Advanced Statistical Models • Convolutional Neural Networks • Information Retrieval • Structuring Machine Learning Projects • Data Base Management Systems • Sequence Models Projects Data Analysis on stock portifolio Github Link • ◦ Exploratory Data Analysis and Statistical Modelling of stock portifolio dataset. ◦ Applied Descriptive and Inferential Statistics, Model Adequacy 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 Github Link • ◦ Generates questions and answers automatically using spacy library from data ◦ Data is crawled using Beautiful soapfrom wikipedia tourism domain . ◦ Data Cleaning and Data PreProcessing is done to create a dataset. Advanced Statistical Models Github Link • ◦ Implemented Monte Carlo Simulation , Metropolis Hasting , Metropolis , Rejection Sampling , Monte Carlo Markov Chain on Axis Bank Dataset. ◦ Performed Gibbs Sampling on UK Coal Mining Disasters Dataset, Simulated Annealing on Movie Lens Dataset. ◦ Implemented Geometric Brownian Motion , Hamiltonian Monte Carlo Simulation on Stock Market Dataset. E-Commerece web application Github Link • ◦ Developed a Social Media Application for shopping by using django and mongodb ◦ This Application has in built E-Commerce website, Integrated with recommender system and sentiment analysis Model for recommending Products based on user’s choice. ◦ The Application is Deployed on Microsoft Azure for scalability. Competitive Programming ◦ Hackerrank : Link ◦ CodeChef : Link ◦ Leet Code : Link ◦ HackerEarth : Link
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