Shreyas Karanjkar
Data AnalystCo-Founder @Axia, | Can’t Tag my Ex ;-)
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Co-Founder @Axia, | Can’t Tag my Ex ;-)
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Most enterprises are stuck building fragile AI prototypes that never scale. At Axia, we fix this. We don't rent out "resources" we step in to take full ownership of your AI Engineering roadmap end to end. With a background in physics and AI, I help companies cut through the marketing hype. We build secure, custom, production-ready infrastructure tailored to your exact business logic. If you are ready to move your AI from potential to real operational ROI, let’s talk.
University of Mumbai
Master's degree, Artificial Intelligence
June 1, 2021 – May 1, 2023
University of Mumbai
Bachelor's degree, Physics
July 1, 2018 – June 1, 2021
Axia
Co-Founder | Director
January 1, 2024 – Present
India · Hybrid
qZense Labs
Data Scientist
February 1, 2023 – July 1, 2023
Bengaluru, Karnataka, India · Remote
Autointelli
Python Developer
October 1, 2022 – January 1, 2023
Chennai, Tamil Nadu, India · Remote
Fish freshness detection
May 1, 2023 – July 1, 2023
Built a Computer vision model for fish freshness classification on 20+ fish species, deployed it with AWS EC2. Overseen the data collection operations, collected and organised the data.
Automatic Number Plate Recognition System for Indian Truck
February 1, 2023 – May 1, 2023
Created an Automatic Number Plate Recognition system specifically for Indian trucks. Integrated and deployed it in a mobile application.
Audio Classification using Neural Networks
February 1, 2023 – May 1, 2023
This project was part of my Master's Degree final semester, In this I worked on Audio data analysis, and trained a Machine Learning Model that can classify various kind of sounds (classes). Audio signal processing using deep learning is a very promising field of study and it has a lot of potential application in various industries such as medical, security, environmental, forensics, manufacturing. The trained models can be deployed in various settings where it can assist humans to automate many hard tasks.
Ethiopia coffee plant disease detection using deep learning
January 1, 2023 – March 1, 2023
Open Source Collaboration with Data scientist and AI enthusiast around the world, We built an app that can be used by farmers to detect the disease in coffee plants and which is powered by Machine Learning
Plant disease classification
November 1, 2022 – December 1, 2022
This is my personal academic project in which I was exploring deep learning and machine learning, during this project I got to know the various new concepts of Machine Learning /AI. It was really fun and learning experience while working on this project.
“Overview of Planetary Geosciences with special emphasis to the Moon and Mars”
Indian Institute of Remote Sensing (IIRS), Indian Space Research Organization (ISRO)
June 25, 2026 – Present
Machine Learning
TCS iON
June 25, 2026 – Present
Ethiopia Local Chapter - Disease Detection in Coffee Plants using Computer Vision
Omdena
June 25, 2026 – Present
TCS Rio 125
TCS iON
June 25, 2026 – Present
Computer Vision
Kaggle
June 25, 2026 – Present
Intro to Deep Learning
Kaggle
June 25, 2026 – Present
TCS Ion (AI for Real World Application)
Tata Consultancy Services
June 25, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including personal academic projects, open-source collaboration, and a co-founder role, indicates a proactive and engaged individual. The target role of 'Data Analyst' aligns with the candidate's background in data analysis, machine learning, and AI, particularly the experience in data collection, pre-processing, and model building. The breadth of skills in AI/ML, cloud, and basic development suggests adaptability. However, the focus is heavily on ML/AI model building rather than traditional data analysis, which might require a slight adjustment in focus.
Soft Skills & Operational Fit
The candidate's co-founder role suggests leadership, initiative, and problem-solving skills. Project descriptions indicate a collaborative spirit (e.g., 'Open Source Collaboration'). However, without psychometric test results, a comprehensive assessment of work attitude, stress handling, and team collaboration is not possible.