kavya reddy
Software Engineer II at Microsoft
software engineer ii microsoft | carnegie mellon university
'm current software engineer paypal . graduated master 's degree information system data analytics carnegie mellon university dec 2019 . computer science major bachelor , gained in-depth knowledge algorithm , data structure . worked 2.5 year back-end developer mercedes-benz r & infotainment system team . always looking learn new skill take-up challenging problem . open project relevant field . skill : - programming language : java , python - database : oracle , ms-sql server , google data store , google big query - framework : spring boot , .net , maven - tool : git , jenkins , jira - machine learning : nltk , scikit-learn , spacy
Microsoft
https://www.linkedin.com/company/microsoft
Mountain View, California, United States
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Software Engineer II
PayPal
https://www.linkedin.com/company/paypal
Incubated, designed and, developed back-end logic on GCP and Stackstorm(open sourced event-driven platform) to monitor misbehaving virtual machines and trigger restarting mechanism using REST APIs.

Enhanced the pipeline to detect anomalies based on various error metrics on 3000+ internal services based on dynamic baselines generated from real-time traffic metrics and historical data.

Developed cloud functions on GCP to aggregate data from google Big Query and store them in google datastore and created composite indexes for complex querying.

Collaborated with a cross-functional team to create a custom dashboard on GCP for my team to monitor VM capacity backed by MongoDB database and set up a Jenkins job for the same.

Participated and stood in the top 100 of the Innovative ideas in the Global Innovation Challenge.

Volunteered to lead the 2020 summer interns team in the 'Kivathon' challenge to help small-medium businesses to help their business during Covid times and stood 2nd in the competition.
San Francisco Bay Area
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Software Engineer II
IEEE
https://www.linkedin.com/company/ieee
(Text Analytics ) As a part of my academic capstone project, analyzing  4.5 million IEEE research articles, e-books, and standards documents that are accessed by researchers and engineers worldwide as part of their research workflow to extract technical jargon and Acronyms.

Using this data as a part of the first step in Developing a robust text analytics engine for scientific articles.
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Data Science Student Consultant
metadata.io
https://www.linkedin.com/company/metadata
San Francisco Bay Area
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Data Engineer Intern
Mercedes-Benz Research and Development India
https://www.linkedin.com/company/mercedes-benz-research-and-development-india
• Analyzed the feasibility of change requests for MBApps (Applications in the Mercedes‐Benz car Head Units) and developed them using Java for China, Japan, US, and European markets.
• Migrated the existing Java applications to Microservices using Java spring boot.
• Performed Unit & Integration Testing on developed Mercedes‐Benz applications.
• Created various Functional and Technical documentation comprising of API specifications.
• Created queries to make monthly reports of the customer base for Mercedes‐Benz web applications, using Java and SQL, which helped the team make important product decisions and reduced costs by 30%.
Bangalore
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Software Developer
Talisma
https://www.linkedin.com/company/talisma
• Developed a UI application for a vulnerability assessment classification system using C# and .NET to visualize large datasets into easily digestible formats
• Validated the application through end to end test cases and oversaw the tool deployment
Bengaluru Area, India
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Software Developer Intern
Master's degree
Computer and Information Sciences, Machine Learning and Data Analytics specialisation
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Carnegie Mellon University
https://www.linkedin.com/school/carnegie-mellon-university/
Bachelor of Engineering - BE
Computer Science
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BMS College of Engineering, Bangalore
https://www.linkedin.com/school/b.-m.-s.-college-of-engineering/
Automatic Timetable Generation Based on Hard and Soft Constraints
Journal of Emerging Technologies and Innovative Research (ISSN-2349-5162)
Data-focused Python
95-888
Database Systems Management
95-703
Advance Business Analytics
95-866
Applied Data Science
16-791
Applied Econometrics
94-834
Machine Learning for Problem Solving
95-828
Statistics
95-796
Unstructured Data Analytics
95-865
Advance Data Structures
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Data Structures
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Object Oriented Programming with Java
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Customers who churn is on the problems and a top area where a business wants to have an insight into as retaining the existing customers is easier and cost effective when compared to getting a new customer. Deducing 'who' and 'when' about a customer gives an edge to the business and can maximize customer retention.
In this project, I built multiple Machine Learning models to predict when and who are customers that leave.
Customer Churn Prediction
Identified the relation between the entities from around 10,000 articles of Reuters corpus using Spacy. Extracted the frequency count of each word in the document and employed Pointwise Mutual Information to analyze the co-occurrence of the words.
Identification of relationship between entities (Text mining)
• Analyzed 180,000 applications through an LDA model developed using data from the Android app store to discover tasks and the associated permissions requested and performed down-weighting of frequently requested permissions using TF-IDF normalization. 
• Discovered the top 10 permissions in each task and the top 3 apps with maximum ratings assigned to the task.
Latent Purposes Discovery in Mobile Applications through topic modeling and classification
● Designed and implemented a robust relational enterprise business database using Oracle 11g
● Utilized ER Modeling, Normalization, SQL analytics and grouping functions to achieve the results. Developed analytical reports to provide insights into Car Rental and damage patterns.
Car Rental Database Management System
● Developed a Java application that plans the diet routine for the user based on the height, weight, age, gender, and the physical activity level.
● Developed the GUI using Java FX.
Personal Diet Recommendation Application
● Developed a tool in python to analyze campus crime data of 50 universities across 20 cities all over the US
● Acquired data from five different sources by using Web APIs, Web Scraping and related JSON and CSV files
● Generated statistical visualizations highlighting crime rate comparisons among the universities and the university towns using matplotlib and seaborn
University Crime Report Tool
● Built an adaptive photovoltaic simulation tool in collaboration with ENELEK, an IIT-Bombay based startup that provides
energy saving solutions to Industries
● Analyzed and deduced the most efficient time and angle to maximize power generation using this tool, which was built
using C# and .NET
Photovoltaic Simulation tool
Education
Grameeksha
The NGO was involved in providing education to less - privileged children. As a part of the organization, I  taught kids about technology and Math.
Teacher
Education
Change for One
Teacher and Mentor
Anton Koukharski
      
          



            
              
        
              
  

    
        Ruthless trail blazer.  I have watched Kavya sort out backend in proprietary application to retrofit another system using a GCP offering with no prior knowledge or experience with either.  Truly impressive velocity of getting up to speed on systems and implementing solutions with very minimal guidance.   Great attitude and excellent job at interfacing with other teams even on drawn out projects.  Siddharth Ramgopal
      
          



            
              
        
              
  

    
        I've really had the pleasure to work with Kavya at PayPal as part of the Developer Experience Team. She is a Rockstar, a highly motivated engineer who had impressed time and again with clean quality code, documentation, and a drive to go beyond just making things work. Kavya has been the goto person if you want things done fast when you need someone to have your back. A fantastic fast learner and a very reliable member in getting things done. She would be a rockstar in any team she is on.
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Found this beautiful image last week ...Taken in 1886, you can see three women who had just graduated from the Women's Medical College of…
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The 748 Billion USD Tobacco Companies Hate Me. Why Not? For again I rejected their 15000 USD offer ( GreenWashing ) to conduct 10 ButtRush Drives…
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Thank you Charter Communications!! Such a sweet gesture for welcoming my baby
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Andhra Pradesh, India
Kavya Reddy
Environmental Engineer
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Bengaluru
Kavya Reddy
UX Designer
https://in.linkedin.com/in/kavya-reddy-8a4193210
Hyderabad
kavya Reddy
Actively Looking For A Job
https://in.linkedin.com/in/kavya-reddy-24a817b9
Bengaluru
Kavya Reddy
Admissions Manager at Harvest International School, Bangalore
https://in.linkedin.com/in/kavyareddy12
Hyderabad
Kavya Reddy
Student at National institute of pharmaceutical education and research Ahmedabad (MBA Pharma)
INFORMS
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Microsoft University Recruiting Team
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Grace Hopper Celebration of Women in Computing
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CMU Applied Machine Learning Club
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Harvard Business Review Discussion Group
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Heinz College of Information Systems and Public Policy at Carnegie Mellon University
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