Seeking Summer 2023 internships in Software/ML/Data Analyst roles

SARAVANAN THANU

+1-332-***-**** ******@********.*** https://www.linkedin.com/in/saravanan-thanu https://github.com/saranthn EDUCATION

Columbia University New York City, NY

Master of Science, Computer Science (Machine Learning) Expected Dec 2023

● CGPA : 4.08/4

● Relevant course work: Cloud Computing and Big Data, Competitive Programming, Machine Learning

● Teaching assistant: Visual Interfaces to Computers(Spring 2023), Computer Graphics(Fall 2022) National Institute of Technology, Tiruchirappalli Tamilnadu, India Bachelor of Technology (Honours), Computer Science Jul 2016 - Jun 2020

● CGPA : 9.42 / 10

● Relevant course work: Natural Language Processing, Data Warehousing and Data Mining, Distributed Algorithms SKILLS

Languages: C++, Python, C#, Javascript, SQL, HTML, CSS Frameworks: ReactJS, Flask, REST API, Swagger, Tensorflow, Keras, NumPy, matplotlib, scikit-learn, Pandas Databases: MySQL, PostgreSQL, MongoDB, Firebase, DynamoDB Technologies: Azure, AWS, Git, Power BI

PROFESSIONAL EXPERIENCE

Microsoft Bangalore, India

Software Development Engineer Jun 2020 - Jul 2022

● Developed a service to monitor data availability and latency during migration in Azure storage accounts using C#; Helped to catch bugs before releases in Production

● Implemented a new feature using Markov chain Monte Carlo method to increase Azure storage utilization for premium tenants; Added Integration testing for Capacity Planner service for Azure Storage

● Increased DataCollector speed by 10X by incorporating parallel programming techniques and removing redundant API calls in C#

● Triaged over 500 incidents during on-call rotation for the Azure storage capacity management team; Proposed and worked on new tools to reduce manual actions during on-call

Microsoft Bangalore. India

Software Development Intern May 2019 - Jul 2019

● Developed a tool to scrape shoebox metrics and logs of Azure storage accounts with custom aggregation parameters

● Analyzed data of Azure storage accounts (Ingress, Egress, TPS, etc.) to drive insights about projected storage capacity growth; Presented findings using Microsoft Power BI

● Created an AutoRegression model in Azure Machine Learning Studio to forecast Azure storage requirements in FY20 and presented the trends to a 10-member team

PROJECTS AND RESEARCH

Serverless Car Recommendation System Sep 2022 - Dec 2022

● Developed a scalable serverless web application in AWS to allow users to search for cars based on their preferences using AWS services such as ElasticSearch, API Gateway, Cognito, DynamoDB, CloudFront, S3, Lambda, SageMaker etc…

● Used a KNN model with Euclidean distance as the similarity measure between 11 features, to provide recommendations for users based on the popular car searches on the website, search history, and liked cars

● Integrated AWS CodePipeline CI/CD to automate the build and deploy stage of the application Quick Educator Sep 2022 - Dec 2022

● Developed a user-friendly web application that allows students to quickly register for online courses offered by professors from different institutions. Implemented multiple features for user reviews, course registration, and easy-to-use filtering of courses

● Designed a robust PostgreSQL backend database modeled using an Entity Relationship diagram. Handled backend API requests using Flask; Built Frontend using HTML and CSS

New York Stock Exchange Price Prediction Sep 2022 - Nov 2022

● Performed exploratory Data Analysis and pre-processing on the NYSE dataset; Trained and compared the performance of Rolling Linear Regression, ARIMA, and LSTM models on NYSE stock prices to predict one-day ahead stock prices Extractive Text Summarization using Co-reference on BERT Jan 2020 - May 2020

● Developed a novel method for text summarization based on Within Cluster Sum of Squares(WCSS) to determine the ideal length of summary and achieved a ROUGE-2(F1) score of 17.9

● Leveraged Bidirectional Encoder Representations from Transformers (BERT) to pre-train representations from text. https://ieeexplore.ieee.org/document/9277220

Alumni Database Portal Dec 2018 - Mar 2019

● Created a web portal for digitizing student registration, verification and document maintenance for NIT Trichy, co-ordinating with a 5-member team; Built UI components using ReactJS, handled backend requests through Django

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