Data scientist @ Shuru | Ex- Zomato, Hotstar, Scienaptic ai | IIT Guwahati
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
My central interest lies in Deep Learning, Machine learning and AI. Currently working as ML developer with Zomato.
Indian Institute of Technology, Guwahati
Bachelor's degree, Mathematics and Computer Science
January 1, 2013 – January 1, 2017
Shuru App
Founding Data Scientist
January 1, 2025 – Present
Remote
Scienaptic AI
Data Scientist
March 1, 2023 – January 1, 2025
Remote
Career Break
Personal goal pursuit
December 1, 2019 – December 1, 2022
Delhi
Zomato
Machine Learning Engineer
March 1, 2019 – December 1, 2019
Gurgaon, India
Hotstar
Machine Learning Engineer
July 1, 2017 – March 1, 2019
Bengaluru, Karnataka, India
GlobCon Technologies (Internship)
Data Scientist
May 1, 2016 – July 1, 2016
Mumbai Area, India
User Segmentation
November 1, 2017 – Present
Clustering similar users for group recommendations than one to one which tackles huge computational and infrastructure challenges at this scale
Recommender system for sports clips
July 1, 2017 – October 1, 2017
Hybrid recommendation model for sports clips
edX Honor Code Certificate for Data Science and Machine Learning Essentials
edX
June 24, 2026 – Present
Databases - Relational Algebra (online)
Stanford University
June 24, 2026 – Present
Agentic AI
DeepLearning.AI
June 24, 2026 – Present
Databases - XML Data (online)
Stanford University
June 24, 2026 – Present
Generative AI with Large Language Models
DeepLearning.AI, Amazon Web Services
June 24, 2026 – Present
Certificate for The Analytics Edge
edX
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has worked in fast-paced, data-driven environments (Zomato, Hotstar) and has experience in a founding data scientist role, suggesting an entrepreneurial spirit. The personal projects in user segmentation and recommender systems align well with typical data analyst/scientist roles. However, the career break and the target role of 'Data Analyst' (given the candidate's extensive ML Engineering experience) might indicate a slight misalignment or a desire to shift focus. The breadth of skills is good for data science, but the specific alignment to a pure 'Data Analyst' role needs further clarification.
Soft Skills & Operational Fit
The candidate's resume highlights experience in complex problem-solving (e.g., optimizing recommendation systems, user segmentation at scale) and working with diverse technology stacks. The career break for personal goal pursuit indicates self-motivation and dedication, but also a potential gap in recent industry-specific skill development. The provided data is insufficient to assess specific soft skills like teamwork, leadership, or stress handling beyond what can be inferred from project descriptions.