About
My ability to understand customer needs, translate them into product requirements, and…
Articles by Chetan
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🔥 Here's my Christmas gift for you all - Announcing my new FREE course, Introduction to AI Agents I've created a 10-day course to help you know all…
🔥 Here's my Christmas gift for you all - Announcing my new FREE course, Introduction to AI Agents I've created a 10-day course to help you know all…
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𝑭𝒐𝒖𝒏𝒅𝒂𝒕𝒊𝒐𝒏 M𝒐𝒅𝒆𝒍𝒔 = 𝑴𝒖𝒍𝒕𝒊-𝑴𝒐𝒅𝒆𝒍 + 𝑴𝒖𝒍𝒕𝒊-𝒄𝒍𝒐𝒖𝒅 + 𝑵𝒐 𝑳𝒐𝒄𝒌-𝒊𝒏 Client environments are becoming increasingly…
𝑭𝒐𝒖𝒏𝒅𝒂𝒕𝒊𝒐𝒏 M𝒐𝒅𝒆𝒍𝒔 = 𝑴𝒖𝒍𝒕𝒊-𝑴𝒐𝒅𝒆𝒍 + 𝑴𝒖𝒍𝒕𝒊-𝒄𝒍𝒐𝒖𝒅 + 𝑵𝒐 𝑳𝒐𝒄𝒌-𝒊𝒏 Client environments are becoming increasingly…
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Granite 3.1 8B Instruct: raising the bar for lightweight enterprise models
Granite 3.1 8B Instruct: raising the bar for lightweight enterprise models
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Experience
Education
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PES University
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Activities and Societies: Student Representative for Software Engineering batch, 2014-2015
Pursued Post Graduate Studies @PES in the department of Computer Science and Engineering:
1st Semester Technical Seminar: Future of Internet of Things
2nd Semester Technical Seminar: Crime Analysis and Prediction using Data Mining
4th Semester Capstone Project: A Machine Learning approach to predict Software
Defects -
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Activities and Societies: Association of Computer Science Engineering Students
Pursued Graduate Studies @BVBCET in the department of Computer Science and Engineering.
Involved in various academic and social activities:
- Organised ‘Algo Relay’, a coding event during Pleiades’14- National Level Technical Fest
- Created a Water Purification System which was donated to the Poor Elderly Society in Hubli.
- Raised funds for Kalkeri Sangeet Vidyalaya (KSV) with Despande Foundation.
8th Semester Capstone Project:
Educational Information Management System…Pursued Graduate Studies @BVBCET in the department of Computer Science and Engineering.
Involved in various academic and social activities:
- Organised ‘Algo Relay’, a coding event during Pleiades’14- National Level Technical Fest
- Created a Water Purification System which was donated to the Poor Elderly Society in Hubli.
- Raised funds for Kalkeri Sangeet Vidyalaya (KSV) with Despande Foundation.
8th Semester Capstone Project:
Educational Information Management System (EIMS)
A suite of Integrated Applications that can help in the overall management of an Education Institute, in other words an ERP (Enterprise Resource Planning) designed for of an education institute. -
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Activities and Societies: Quiz Team
Licenses & Certifications
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AWS Solutions Architect Associate
Amazon Web Services (AWS)
Issued ExpiresCredential ID NJ1HXEBLCNV11X9L
Volunteer Experience
Courses
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AWS Essentials - Udemy
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Living Integrity | General Business Principles (GBP) & Legal Compliance
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Product Management: Building a Product Roadmap
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RPA Starter
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SAFe Product Owner/Product Manager
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Ultimate AWS Certified Solutions Architect Associate 2020 - Udemy
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Projects
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A Machine Learning approach to predict Software Defects
Software engineering teams are not only involved in developing new versions of a product but are often involved in fixing customer reported defects. Customers report issues faced by a particular software and some of these issues may actually require the engineering team to analyse and potentially provide a fix for the issue. The number of defects that a software engineering team has to analyse is significant and teams often prioritise the order of the defects based on the customer’s priority…
Software engineering teams are not only involved in developing new versions of a product but are often involved in fixing customer reported defects. Customers report issues faced by a particular software and some of these issues may actually require the engineering team to analyse and potentially provide a fix for the issue. The number of defects that a software engineering team has to analyse is significant and teams often prioritise the order of the defects based on the customer’s priority and to the extent the defect impacts the business operations of the customer. Often, it is likely that the engineering team may not truly understand the business impact that a defect is likely to have and this results in the customer escalating the defect up the engineering team’s management chain seeking more immediate attention to their problem.
For the purpose of my analysis, I have used the defects database was provided by Hewlett-Packard(HP) India. I have used the concepts of R programming for cleaning the database and to pre-process it. I then extracted keywords using natural language processing and then used machine learning (Naive Bayes, Apriori Algorithms, Decision Trees, Simple K- means) to predict the escalations. Thus by combining the key words and the tickets received to the team, I can predict the nature of the Escalation and alert the Engineering Team so that they can take respective steps appropriately.
Honors & Awards
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Eager to Improve and Inspire
Philips Healthcare Serviceability R&D
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Team-up to Excel
Philips Healthcare ImCS R&D
Test Scores
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IELTS
Score: 8.0
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Pearson Test of English (PTE)
Score: 348/360
Languages
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English
Full professional proficiency
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Hindi
Native or bilingual proficiency
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Kannada
Native or bilingual proficiency
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Marathi
Elementary proficiency
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