Data analysis, excel, SQL, Tableau

Lalitha Rakshitha Raviprasad

+1-669-***-**** *********@*****.*** www.linkedin.com/in/lalitha-rakshitha-raviprasad github.com/Rakshitha94 EDUCATION

San Jose State University, CA Aug 2018 - May 2020

• Master of Science in Computer Engineering

• Coursework: Machine Learning, Data Mining, Large Scale Analytics, Computer Architecture, Enterprise Software Platforms, System Software, Data structure and Algorithms, Operating System. R.V. College of Engineering, India Aug 2012 - May 2016

• Bachelor of Engineering in Information Science

• Coursework: Data Structure and Algorithms, Advanced Design and Analysis of Algorithms, Database Management System, Cloud Computing, Web Technologies, System Software TECHNICAL SKILLS

Languages: Python, Java, C++, HTML5, CSS, JavaScript, PHP

Database: MongoDB, SQL

Operating System: Windows, Mac, Ubuntu

Machine Learning Libraries: NumPy, Pandas, Keras,

Scikit-Learn

Other Tools: Google Analytics (Certified), Tableau

(Certification -Udemy), Spark, GitHub, JIRA

ACADEMIC PROJECTS

Adaptive Optimal Routing in SDN by using Reinforcement Learning January 2020 – May 2020

• Technology Stack: Q-Learning, Mininet, Matplotlib, Python, Tableau

• Incorporated Q-learning algorithms to choose a better server to route the packets

• Evaluated the threshold parameter for different network parameters using Tableau Book Recommendation System August 2019 – December 2019

• Technology Stack: Jupyter Notebook, Python3, Pandas

• Implemented a recommender system for Amazon books review dataset using Python and HPC

• Content Based, collaborative filtering based, TF-IDV vectorization and K Nearest Neighbor were used to recommend books Car Parking with AI May 2019 – August 2019

• Technology Stack: Mask RCNN, Python, Open ALPR, OpenCV, MySQL

• A parking system that uses the CCTV footage to manage parking space using image detection

• Used Mask RCNN to detect the vacant parking spots and used MySQL database for manage parking data iPhone Sales and Sustainability Prediction Using Amazon Reviews August 2018 – December 2018

• Technology stack: R studio, Sentiment Analysis, Linear regression and Data Processing

• Analyzed the sustainability of iPhones in Market using sentiment analysis using Amazon Reviews

• Used Linear regression for prediction of the sales with the help of sentiment value for every iPhone model PROFESSIONAL EXPERIENCE

Blinkpad Inc, CA, USA - Software Development Intern June 2019 - August 2019

• Technology Stack: MongoDB, JavaScript, Postman, Flask, HTML5, Vue js

• Implemented Text Search using Mongo

• Created web crawler using python and stored information in MongoDB

• Added Phone verification feature using Twilio Gateway Hummingwave Technologies, India – IT Program Manager March 2018 - June 2018

• Technology Stack: Unit and Manual Testing of Mobile Applications, Microsoft Excel

• Managed various projects that involved mobile apps and web applications

• Analyze specific business requirements and transformed it into automated processes

• Demonstrated Organizational and project management skills PricewaterHouse Coopers, India– Senior Analyst August 2016 - October 2017

• Technology Stack: JIRA, Microsoft Excel, Data Visualization, SQL, Tableau

• Interpreting data, analyzing results using statistical techniques and provide reports

• Acquired data from primary or secondary data sources and maintained databases

• Demonstrated problem solving, analysis skills, and excellent business judgment

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