Nikhil Dupally Email : firstname.lastname@example.org Github Profile LinkedIn Profile Mobile : +91 8885510882 Work Experience Computer Vision Intern Remote • VsualThree60 May 2020 - Present ◦ Created an Application that monitors Social Distance Violations and sends signals to the respective authority. ◦ Used Single Shot Detection for Detecting People and Centroid Tracker to track the people and Assign them IDs. ◦ The Application can be used for both Real-time Detection and Detection from Videos. ◦ Stored All the violations in database and Performed Data Analysis on busiest days and busiest hours of a Retail Store. Teaching Assistant • Indian Institute of Information Technology Sri City January 2020-Present ◦ Appointed as a Teaching Assistant of the course Applied Software Engineering for the batch 2022 Undergraduate Students. ◦ Assisted the professor with Lab sessions and Tutorials of Batch size of 125 members. AI Developer Intern Hyderabad, India • UniString Tech Solutions June 2019 - July 2019 ◦ Developed a model for threat detection for Low clarity and Night time images(infrared images) using DARKNET for realtime application. ◦ Used State-of-the-art(SOTA) Pedestrian Detection and Object Detection Models. ◦ Experience with Performance Analysis, Optimizations and Benchmark Evaluations. ◦ Worked on a large dataset and annotating using Open-CV. Research Experience Pruning of Convolutional Neural Networks SriCity, India • Guide: Prof.P.Viswanath January 2020 – Present ◦ Made a Literature Survey on SOTA Neural Networks Pruning Methods. ◦ Filter Pruning Based on the correlation Between the Filters, importance of filters in each layer. ◦ Used Different Metrics for Calculating Filter Importance. 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 Narayana Junior College Hyderabad, India • Intermediate ; GPA:973/1000 June. 2015 – May. 2017 Positions Of Responsibility Data Science Club Coordinator October-2020 – Present • Indian Institute of Information Technology Sri City ◦ Founding Member and Coordinator of Data Science Club at Indian Institute of Information Technology Sri City. ◦ Conducted Sessions Hands-on practice with Cutting Edge tools and frameworks being used in the industry to develop solutions in selected languages such as Matlab, R, and python. ◦ Conducted Hackathons and Workshops on different Applications of DataScience in coordination with other clubs. Achievements ◦ Rank 330 in Hacker Earth Deep Learning Challenge out of 5800 participants. ◦ Global Rank 37 in Code Chef July Challenge 2020 out of 30,000 Participants. ◦ 4-Stars(Max Rating-1937) in Code Chef ◦ Top 1 percentile(6 stars) in problem solving category of Hacker. Rank 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 ◦ Human Face Generation Using DCGANs Github Link ∗ Worked on Generating Human Faces from noise image.Implemented Deep Convolutional GAN using TensorFlow and Keras. ∗ Dataset used is LFW(labelled faces in the wild) dataset. ∗ Obtained moderate results from generator network. ◦ Data Analysis on Geographical Origin Of Music Github Link ∗ Exploratory Data Analysis and Statistical Modelling of Geographical Origin of Music Dataset from UCI repository. ∗ 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. ◦ Good Reads book Classification Github Link ∗ Built a Classifier which classifies a book as fiction or non fiction using many attributes like book description ,title ,author etc. ∗ Data is crawled using Beautiful Soupfrom good reads website . ∗ Data Cleaning and Data PreProcessing is done to create a dataset. ∗ Recurrent Neural Network (RNN) is used for Classification built using TensorFlow and Keras. ◦ 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. ◦ Social Media Application Github Link ∗ Developed a Social Media Application for Pets Management ∗ This Application has in built E-Commerce website, Integrated with Computer Vision Model for recommending Products based on images. ∗ The Application is Deployed on Microsoft Azure for scalability. Extra Curricular Activities ∗ Captain of Institute Volleyball Team, Reached Semi-Finals at INTER- IIIT Sports fest at Jabalpur, Madhya Pradesh. ∗ Player of Institute Cricket Team, Reached Semi-Finals at INTER- IIIT Sports fest at Jabalpur, Madhya Pradesh. ∗ NSS Volunteer from August 2019. ∗ Gold Medal in House-Wise Volleyball Tournament,2019. ∗ Gold Medal in House-Wise Volleyball Tournament,2020. ∗ Chess Player at School Level. ∗ Brown Belt in Kung-fu.