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Generative AI and Machine Learning | IIT Delhi
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Proven experience in solving Machine Learning and Data Science problems with strong software development background, currently working on VectorDBs and LLMs
University of San Francisco
MS in Analytics, Data Science
January 1, 2017 – January 1, 2018
Indian Institute of Technology, Delhi
Dual Degree (BTech + MTech), Electrical, Electronics and Communications Engineering
January 1, 2007 – January 1, 2012
Indeed.com
Senior Data Scientist
September 1, 2021 – Present
Seattle, Washington, United States · On-site
GE Digital
Data Scientist
August 1, 2018 – August 1, 2021
San Ramon
Capital One
Machine Learning Engineer Intern
December 1, 2017 – July 1, 2018
San Francisco Bay Area
GlobalShiksha.com
Senior Software Engineer
August 1, 2016 – June 1, 2017
Bengaluru, Karnataka, India
Rubique
Technology Manager
February 1, 2015 – July 1, 2016
Mumbai Area, India
TownTrot
Software Developer
July 1, 2014 – February 1, 2015
Gurugram, Haryana, India
ZS Associates
Business Analytics Associate
January 1, 2014 – July 1, 2014
Gurugram, Haryana, India
Bhabha Atomic Research Centre
Research Intern
April 1, 2009 – July 1, 2009
Mumbai Metropolitan Region
Video Surveillance using defocus and Motion Segmentation.
December 1, 2009 – April 1, 2010
• Implemented efficient segmentation algorithm for videos on surveillance camera. Implemented incremental clustering along with modified sobel edge detection using OpenCV in C++ • Used MATLAB for defocus based edge detection algorithm for testing on different images. Obtained satisfactory results for videos with stationary background using lesser storage space.
Generative AI with Large Language Models
DeepLearning.AI, Amazon Web Services
June 24, 2026 – Present
Deep Learning Fast.ai
Fast.ai
June 24, 2026 – Present
Sequence Models
Coursera
June 24, 2026 – Present
Convolutional Neural Networks
Coursera
June 24, 2026 – Present
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Coursera
June 24, 2026 – Present
Neural Networks and Deep Learning
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse professional background spanning various industries (e-commerce, fintech, energy, job search platform) and roles (Software Engineer, Technology Manager, Data Scientist, Senior Data Scientist). This breadth of experience suggests adaptability and a willingness to tackle different challenges. The progression from software engineering to data science and then senior data science roles aligns with a growth mindset. However, the target role is 'Data Analyst', which might be a step down from their 'Senior Data Scientist' experience, potentially indicating a mismatch in career trajectory or a specific interest in a pure analysis role. The project diversity and skill breadth are strong, but the alignment with the 'Data Analyst' target role needs further clarification.
Soft Skills & Operational Fit
The candidate's resume indicates leadership experience (leading a team of 3 software engineers, Technology Manager) and project management skills (gathering requirements, scoping technical stack, creating project roadmap). The descriptions suggest a problem-solving approach (e.g., 'solving some challenging problems in Power Grids', 'reduced the case resolution time'). However, without psychometric test results or interview data, a comprehensive assessment of soft skills and operational fit is limited.