SRISHARANYA INJARAPU

ady673@r.postjobfree.com Linkedin Github 352-***-**** 1601 SW 51st Terrace, Gainesville, FL 32607 WORK EXPERIENCE

Graduate Machine Learning Researcher at University of Florida September 2022 - May 2023

● Successfully compressed transformer-based large language model like DistilBERT by 52% resulting in 67% less memory consumption and reduced execution time by 75%.

● This is achieved by changing the network architecture and therefore, reducing inference latency.

● Techniques such as - the novel distillation process, transfer learning, removing attention heads from the transformer, quantization, and the lottery ticket hypothesis are used. Skills : Natural language Processing, Neural Network, Python, Pytorch, Model Compression, Optimization, DistilBERT, MobileBERT. Machine Learning Engineer at SMI, Inc. August 2019 - August 2021

● Identified the most profitable specialty chemical products with a high growth rates in the USA.

● Applied various machine learning techniques to analyze import-export data to determine the best target products for manufacturing.

● Extracted and aggregated large-scale crude data from several sources such as trade commissions in the USA, India, China and World Bank.

● Implemented multiple Tableau dashboards with 200+ visualizations and created portfolios for 200+ chemical products.

● Built a predictive model which identified pharmaceutical products, flavors and fragrance chemicals, essential oils, and nutraceuticals with a total sales of 35 billion dollars, an ROI of 400%, and payback period of less than two years. Skills : Python, Tableau, Tensorflow, SQL, Pandas, Numpy, Predictive Modeling. Data Science Intern at University of Hyderabad. June 2018 - August 2018

● Built recommendation systems and prediction systems using advanced ML and DL techniques.

● Provide valuable insights through EDA and visualization of the dataset. EDUCATION

Masters of Science in Computer Science August 2021- May 2023 University of Florida, Gainesville, Florida

Bachelor of Engineering in Computer Science and Engineering July 2015 - June 2019 Chhattisgarh Swami Vivekananda Technical University ACADEMIC PROJECTS

Brand Measurement Audio Data Analysis Python, Django, Deep speech, BiLSTM, AmazonEC2

● Analyzed and predicted the sentiment of audio reviews generated by a brand measurement program, which helped improve and optimize marketing strategies based on the insights generated.

● Hosted a Django server using Amazon EC2 instance bucket which consumed the pickle file and served the API requests DIY-n-BUY Go, react.js, Fiber, MongoDB, Amazon EC2, Strip API

● Created a full-stack web application using Go Fiber, react.js, and MongoDB Which allows hobbyists to visualize their DIY assembly of individual watch parts and provides a platform for ordering all those parts and can be extended to serve visualizations for circuit assembly, modern furniture, etc.

● Deployed front-end and server using Amazon EC2 instances and integrated Strip API to handle payment processing. Impact of Energy on the Economy - Data Visualization using Tableau

● Tableau is used to determine the effect of crude oil on various parameters like inflation, unemployment, etc. from 1970 and relate it with the political crisis in the world including the Iranian Revolution in 1980, the dot-bubble burst in 2000, and the big recession because of AIG Insurance company crisis in 2008, etc. TECHNICAL SKILLS

Programming Languages: Python, Java, R, GoLang, Javascript. ML/AI: Python libraries(Tensorflow, Pytorch, Transformers, Scikit-learn, Pandas, Numpy,), CNN, RNN, BERT, GPT3, T5. Data Engineering: SQL, ApacheSpark, Snowflake, MongoDB. Tools/Platforms: Tableau, PowerBI, Linux, Git.

PUBLICATIONS

Sri Sharanya, Shankey Garg, Prashant Shukla, Rama R Panda, (2017 ) " Implementation of Internet of Things in Wireless Sensor Networks: A Survey ", International Journal of Advance Computational Engineering and Networking (IJACEN), pp. 40-41, Volume-5, Issue-11 REFERENCES

● Vincent Bindschaedler, Computer & Information Science & Engineering Department, University of Florida Email: ady673@r.postjobfree.com,website: https://www.cise.ufl.edu/bindschaedler-vincent/

● Pedro Garcia, Computer & Information Science & Engineering Department, University of Florida Email: ady673@r.postjobfree.com,website: https://www.pfeijoo.com/

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