Rakshith Manandi work email
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Rakshith Manandi personal email
Rakshith Manandi is a Senior Data Scientist at Amazon. They possess expertise in leadership, proteus, powerpoint, public speaking, data science and 18 more skills. They is proficient in German, Tamil and Hindi. Colleagues describe them as "Rakshith is a rising star in the field of data science + cyber security. He is a quick learner and has a unique skillset in grasping technical, development, statistical, and engineering objectives well. He came to GS with little experience of cyber security experience. As he onboarded, he came up to speed very quickly to grasp cyber security concepts. Rakshith is also personable and fun to work with. " and "Rakshith is a capable individual who is ready to apply his knowledge and experience to challenging problems in data science. While at Recursion, he enthusiastically worked uphill against some infrastructural shortcomings on a research project with an uncertain outcome-- demonstrating the hallmarks of an awesome data science contributor along the way. I have every expectation that Rakshith will continue to capitalize on his skillsets, ambition, and eagerness to learn throughout his career."
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Senior Data ScientistAmazonSunnyvale, Ca, Us
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Data ScientistAmazon Aug 2022 - PresentSunnyvale, California, United States
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Data ScientistAmazon Web Services (Aws) Dec 2021 - Aug 2022 -
Cyber Security Data ScientistGoldman Sachs Feb 2020 - Dec 2021Dallas, Texas, United States• Propelled to apply Data science techniques to security logs to understand gaps and mitigate threats in our network. • Led the initiative to detect C2 beaconing patterns in network communication that could be malicious.• Engineered features to help profile temporal behavior of anomalous data points indicative of C2 beaconing.• Actively involved SME’s to determine Risk Acceptance levels while setting filtering thresholds for the features.• Refined KMeans++ algorithm to tackle exponentially large bias that exists in security due to highly imbalanced classes. • Reduced the number of potentially malicious data points the analysts had to triage by over a 1000%.• Actively engaged in a feedback loop with cross-functional teams and constantly improved the model by integrating it. • Generated interactive plots & daily reports to aid in easier understanding of the results for the clients.• Documented all the efforts diligently and supervised the documentation initiative across the whole team.• Delivered big data ETL pipelines to reduce execution time by more than 95% and saw the model to production. -
Machine Learning InternRecursion Pharmaceuticals Jun 2019 - Sep 2019Greater Salt Lake City Area- I worked cross-functionally with the three Data Science teams, where I analyzed cellular level features from the world's largest empirical Biological image dataset to identify unhealthy cells from healthy cells.- I developed a Variational AutoEncoder (VAE) to identify domain shifts in heterogenous multimodal data. - Improved the ability of the VAE tobetter discern the domain shifts by performing feature engineering using context aware machine learning.- Also developed a baseline model to which I compared all the iterations of my improved model and analysed where the improvements could be done in a principled way.- Built statistical metric functions to ensure consistency of the model performance across different iterations.- Communicated the results effectively to biologists by encapsulating them into interactive plots and images. -
Graduate Teaching AssistantUniversity Of California San Diego Mar 2019 - Jun 2019I'm currently the Teaching Assistant for the course MGTF 495 - Data Science for Finance using Python. My responsibilities include leading discussion sections where I go over evasive topics by breaking it down and explaining it in a simpler way. I make the course material which includes powerpoint presentations, hands-on jupyter notebooks going over the ML algorithms and also maintain the class website and Piazza. -
Graduate Teaching AssistantUniversity Of California San Diego Jan 2019 - Mar 2019As a Graduate Teaching assistant I hold discussion sessions where I teach fundamental concepts and reiterate on complex topics focussed in class to make sure all the students are able to understand and are comfortable talking in terms of fundamentals of Biomedical Imaging. Additionally, I'm also actively involved in playing an important role in designing the assignments and grading them. I also mentor individual/group of students with their assignment needs or any other help with regard to the course
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Machine Learning ResearcherContijoch Research Laboratory Jul 2018 - Mar 2019United States- Developed an AI pipelinet hat deploys UNet(CNN) to automate the process of segmenting cardiac images.- Overcame data scarcity by using data augmentation techniques - Affine transformations.- Modified the UNet architecture to better perform on cardiac images affected by congenital heart disease.- Significantly reduced the segmentation time by99.99%from 1 hour 15 minutes per image to almost 1 second per image. -
Graduate Teaching AssistantUniversity Of California San Diego Apr 2018 - Jun 2018As a Graduate Teaching assistant I hold discussion sessions where I teach fundamental concepts and reiterate on complex topics focussed in class to make sure all the students are able to understand and are comfortable talking in terms of human physiology. Additionally, I'm also actively involved in playing an important role in designing the assignments and grading them. I also mentor individual/group of students with their assignment needs or any other help with regard to the course
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Graduate Teaching AssistantUniversity Of California San Diego Jan 2018 - Mar 2018San DiegoAs a Graduate Teaching assistant I hold discussion sessions where I teach fundamental concepts and reiterate on complex topics focussed in class to make sure all the students are able to understand and are comfortable talking in terms of human physiology. Additionally, I'm also actively involved in playing an important role in designing the assignments and grading them. I also mentor individual/group of students with their assignment needs or any other help with regard to the course
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Graduate Student ResearcherCenter For Engineered Natural Intelligence, University Of California San Diego Apr 2018 - Jun 2018Greater San Diego Area- Worked on implementing various Machine Learning and signal processing techniques to reduce or overall suppress calibration time of Brain Computer Interfaces.- Researched on methods to build a dynamic and adaptable Brain Computer interfaces. -
Technical DirectorIete - Institution Of Electronics And Telecommunications Engineers ( Vit Chapter ,Vellore) Mar 2015 - Mar 2017Vellore Area, India- I took up the initiative to design a seminar series where the technical members of the chapter pick up a topic that is in relevant to the industry and hold a hands-on seminar every week and help students gain invaluable skills. - The seminar series topics included Arduino, Raspberry Pi, Wi-FI and Bluetooth communication, Data Structures and algorithms.
Rakshith Manandi Skills
Rakshith Manandi Education Details
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Bioengineering And Biomedical Engineering
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Electrical, Electronics And Communications Engineering
Frequently Asked Questions about Rakshith Manandi
What company does Rakshith Manandi work for?
Rakshith Manandi works for Amazon
What is Rakshith Manandi's role at the current company?
Rakshith Manandi's current role is Senior Data Scientist.
What is Rakshith Manandi's email address?
Rakshith Manandi's email address is ra****@****chs.com
What schools did Rakshith Manandi attend?
Rakshith Manandi attended University Of California San Diego, Vellore Institute Of Technology.
What skills is Rakshith Manandi known for?
Rakshith Manandi has skills like Leadership, Proteus, Powerpoint, Public Speaking, Data Science, Matlab, Data Wrangling, Data Analysis, Data Scraping, Deep Learning, Raspberry Pi, Artificial Intelligence.
Who are Rakshith Manandi's colleagues?
Rakshith Manandi's colleagues are Resabh Gordhan, Demarcus Armstrong, Topik Rahman, Ego Bekee, Dodo Kaka, Michael Moore, Vipan Kohli Kohli.
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