Graduate Student at University of Michigan
September 2016 to April 2018
Ann Arbor, Michigan
Santa Clara, California
Department of Learning Health Sciences, Michigan Medical School
Research Assistant: Machine Learning
June 2018 to September 2018
Ann Arbor, MIchigan
Apprentice Engineer: Machine Learning
May 2017 to April 2018
Ann Arbor, Michigan
December 2012 to June 2016
Hyderabad Area, India
University of Michigan
Master's degree, Electrical and Computer Engineering
2016 to 2018
Chaitanya Bharathi Institute Of Technology
Bachelor's degree, Electrical, Electronics and Communications Engineering
2008 to 2012
The Data Incubator
2018 to 2018
What company does Bhavika Reddy Jalli work for?
Bhavika Reddy Jalli works for Graduate Student at University of Michigan
What is Bhavika Reddy Jalli's role at Graduate Student at University of Michigan?
Bhavika Reddy Jalli is Graduate Student
What industry does Bhavika Reddy Jalli work in?
Bhavika Reddy Jalli works in the Information Technology and Services industry.
Graduate Student @ Graduate Student at University of Michigan From September 2016 to April 2018 (1 year 8 months) Ann Arbor, MichiganData Scientist @ Ericsson Incorporating ML into Network Design and Optimization of telecommunication networks.• Designed and built an Autoencoder that can detect anomalies in the functioning of the telecommunication cell towers, thus reducing the development time by 75%.• Used K-Means and Deep Embedded techniques to cluster the cell issues to perform auto labelling.• Achieved an 88% accuracy for the Cell Issue classification using a deep Convolutional Neural Network and Keras.• Developed an AI-Assisted Deep Recommender system for configuration recommendation for Telecommunication Network Optimization using over 50GB data for various clients and geographical situations.• Developed a method to debug a neural network by visualizing the gradients at each layer. This helped the team to choose better hyperparameters for the network.• Presented data regularly to technical and non-technical stakeholders, senior leadership, CTO and diverse teams.• Helped in recruitment, training and guidance of other Data Scientists in the team. Santa Clara, CaliforniaResearch Assistant: Machine Learning @ Department of Learning Health Sciences, Michigan Medical School • Created a Named Entity Recognizer for clinical documents using LSTM-CRF for de-identification of patients• Utilized Logistic Regression, Bayesian Modeling, and Ensemble methods to develop an aliasing system for substitution of the recognized entities with a random alias to maintain consistency From June 2018 to September 2018 (4 months) Ann Arbor, MIchiganApprentice Engineer: Machine Learning @ DENSO • Achieved an accuracy of 91% by developing software using Machine learning and Computer Vision algorithms for real time Vehicle, Traffic Light, and Traffic Sign detection and tracking. Achieved a real time 30 frames per second.• Applied Deep Learning on Emotion dataset comprising of images from seven different emotion classes to perform multi task classification with parallel computing using Nvidia CUDA and GPU.• Experience with collecting, processing, training, and evaluating machine learning algorithms with real-world data. From May 2017 to April 2018 (1 year) Ann Arbor, MichiganData Engineer @ 3LOQ • Constructed robust heterogeneous data pipelines that collect, process and compute business metrics such as social media performance from activity data using Hadoop and Spark.• Used Python to create data models to leverage the business metrics into actionable insights to improve customers’ experiences, operational efficiency and business performance by 10% From December 2012 to June 2016 (3 years 7 months) Hyderabad Area, India
Introversion (I), Intuition (N), Thinking (T), Judging (J)
1 year(s), 7 month(s)
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