student

Srinithish Kandagadla

*******.**********@*****.*** 812-***-**** LinkedIn - www.linkedin.com/in/srinithish www.github.com/srinithish

SUMMARY

Data scientist with graduate training in machine learning and arti cial intelligence with 3 years of industry experience in data analysis,modeling and automation. Actively seeking data science internships where I can solve business problems with machine learning solutions.

EDUCATION

Master of Science in Data Science May 2020

Indiana University, Bloomington, IN CGPA : 3.9/4

Courses : Arti cial Intelligence, Statistics, Applied Machine Learning, Deep Learning,Algorithms, High Performance Computing. Bachelor of Engineering in Mechanical Engineering May 2015 PES Institute of Technology, Bangalore, India CGPA : 9.23/10 TECHNICAL STRENGTHS

Programming: Python 3, R, VBA, T -SQL, C++, OpenGL (Library), Arduino Robotic Process Automation: BluePrism

Skills: Predictive Modeling,Machine Learning, Natural Language Processing,Visualization Data Processing, Statistical Analysis, Algorithm Design, Insurance Analytics Miscellaneous: Microsoft Access (DB Development), Advanced Excel, Agile, Git,Rally Catastrophe Modeling Tools: RMS Risk Link, AIR Touchstone Certi cations: BluePrism Accredited Developer, Analytics 36O PROFESSIONAL EXPERIENCE

American International Group (AIG) Analytics and Services, Bangalore, India Automation Hub Modeler January 2018 - July 2018

Developed Robotic Process Automation (RPA) solutions in BluePrism for automating rule based tasks such as Insurance search and Validations and reduced processing time of analysts by 40%.

Designed Intelligent automation integrating RPA and triggering decisions using Machine Learning Algorithms in Python.

Built Location matching engine to reconcile reports and match common locations using fuzzy text matching algorithms and NLP. This was adopted by a team of 30 Analysts with an interface on R Shiny. Portfolio Analyst September 2017 - December 2017

Developed tools for validation of modeling, loss analysis through R and VBA programming that was used across 4 teams.

Manipulated and analyzed large data from multiple tables in RMS/AIR databases on SQL Server for loss trends.

Built account optimization tool for quick estimation of natural catastrophe losses on Python. Catastrophe Modeling Associate October 2016 - August 2017

Contributed to the development of in house terrorism model using spider analysis.

Performed Geo visualization of losses and accumulation analysis to determine the footprint and e ect of approaching natural catastrophe in R (Lea

et).

Taught R and VBA programming to over 50 Analysts to help them automate tasks. Indian Institute of Science (IISc), Bangalore, India Project Trainee November 2015 - June 2016

Developed a Myo-Mechanical sensor to capture the movements (

exion and extension) of hand.

Programmed the algorithm for intuitive control of prosthetic hand. Project Assistant June 2015 - October 2015

Developed Remote Patient Examination System to enable doctors to perform diagnosis remotely.

Acquired data from the patients end with the help of various devices and recreated at the doctors end using haptic devices. ACADEMIC PROJECTS

Application Screening

{ Used Natural Language Processing and Machine Learning techniques to predict acceptance or rejection of essays.

{ Used NLTK library extensively to Process and Clean text.

{ Analyzed the semantics of the text in rejection or acceptance.

Implemented Blind and Heuristic Search techniques for geographical routing and achieved similar results as Google Maps.

Built Neural Networks, Ada-Boost, Random forest, Boosted Forest Algorithms from scratch to predict Image Orientation.

Developed Optical Character Recognition (OCR) to extract text from images using Hidden Markov Model.

Implemented Naive Bayes Classi er from scratch to predict the location of the tweet’s user. AWARDS AND RECOGNITIONS

Received Managing Director Award at AIG for the e orts in automation.

Received Best Accuracy Award at AIG in Modeling.

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