IT Constructs: DBMS, OOPS and Data Structures & Algorithms
Development Tools: Visual Studio Code, IntelliJ Idea, Google Collab
Framework: Bootstrap
Other Tools: MS Excel and Power BI (Intermediate), Alteryx
Soft Skills: Effective Communication, Punctuality, Problem Solving, Critical Thinking, Teamwork and Leadership, Positive Thinking
Accomplishments
Extracurricular Achievements
Published a research paper named “Automated Cotton Leaf Disease Detection and Classification using Deep Learning: A Computer Vision Approach” in IEEE Xplore.
Got 2nd place in a Codeathon (a coding event) organized in the college
Participated in the Hack-n-Lead, a 12-hour Hackathon, organized by Vidyavardaka Engineering College, Mysore.
Participated in a Business Plan competition organized by Rishihood University, Haryana and reached till the final round of the competition.
Social Activities
Initiated a cleaning drive and cleaned the road nearby Kukrahalli Lake, Mysuru and has spread awareness about plastic reuse
Initiated Tree plantation drive where with the help of our group we planted more than 50 trees in 5 different regions of Mysuru.
Work Preference
Work Type
Full TimeInternship
Location Preference
On-SiteRemoteHybrid
Quote
Why be Normal, when you can be the Best
Zlatan Ibrahimovic
Languages
English
Bilingual or Proficient (C2)
Hindi
Advanced (C1)
Bengali
Bilingual or Proficient (C2)
Certification
Introduction to MS Excel: Skillup by Simplilearn
Power BI for Beginners: Skillup by Simplilearn
Business Analytics with Excel: Skillup by Simplilearn
Young Industry Enthusiast – Capital Markets : Infosys Springboard
Data Analytics and Visualization Virtual Experience- Accenture : Forage
Interests
Business Analytics
Data Analytics
Market Research
Machine Learning
Projects
Published a research paper named “Automated Cotton Leaf Disease Detection and Classification using Deep Learning: A Computer Vision Approach” in IEEE Xplore. For the project, Deep Learning Classification and Detection Algorithms like DenseNet 121 and ResNet50 have been usedwhich can detect many cotton leaf diseases which will help the farmers to detect the diseases precisely.
Cricket Data Analysis Project for selecting a Balanced Team with the help of Web Scrapping using Python and then cleaning and transforming the data and finally generating dashboard with the help of Power BI.
Generated insights from Adidas Shoe Stores Sales in US data with the help of MS Excel and MS Power BI which can easily summarize the data in front of a client and help to drive important business insights by looking into the dashboard generated from the data.