Aman Vyas
Data AnalystData Scientist | ML | Elasticsearch | GenAI |Learner
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Scientist | ML | Elasticsearch | GenAI |Learner
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Experienced Information Technology Specialist with a demonstrated history of working in the information technology and services industry. Skilled in Machine Learning, data analytics, data visualization, advance analytics, Python, R, Tableau,Microsoft Word, WebSphere application server, Public Speaking, and Microsoft Access. Strong information technology professional with a Engineer’s Degree focused on, Electronics and Communications Engineering from MIT, INDIA.
The University of Chicago Graham School
PGPDM, Data Science & Machine Learning
January 1, 2018 – January 1, 2019
Rajiv Gandhi Prodyogiki Vishwavidyalaya
Bachelor of Engineering - BE, Electronics and Communications Engineering
January 1, 2010 – January 1, 2014
School for Excellence, Indore
Higher secondary (HSC), Maths-Science
January 1, 2006 – January 1, 2009
Kyndryl India
Sr. Data Engineer
January 1, 2024 – Present
Bengaluru, Karnataka, India
Kyndryl India
Lead Data Analyst
September 1, 2021 – January 1, 2024
Bengaluru, Karnataka, India
IBM
Data Analyst
March 1, 2019 – August 1, 2021
IBM
IT Specialist
February 1, 2016 – February 1, 2019
IBM
System Engineer
February 1, 2015 – February 1, 2016
Data Science Capstone Project
October 1, 2018 – January 1, 2019
Problem Statement: To identify the pricing dynamics for a leading household cleaning supplies brand. • What is Brand’s total U.S. price elasticity? • Create a robust imputation logic where price data is missing. • Is the price elasticity increasing or decreasing over time? • Which channels are most price elastic? • Which customer segment are most price elastic? • What is the impact of key competitor’s pricing on the target brand? • Create price elasticity curves by key customer segments / time periods? (Elasticity may differ at different price points and we would like to change in elasticity.) Solution Process: We are five members working on caption project. We have started data cleaning process. To understand the data, according to the data interpretation will apply algorithms.
Blue Cloud Migration
October 1, 2016 – March 1, 2017
Everything is moving to cloud because of that all IBM's Domino application servers we have migrated to IBM Blue cloud. We have lifted and shifted all data from on-premise servers and Blue cloud servers. We only build Blue cloud servers for moving all data from on-premise to cloud
Rochester Database Migreation
February 1, 2016 – August 1, 2016
Everything is moving to cloud because of that all IBM's Domino application DBs were consolidated on one environment, so we migrated all Domino application DBs from different environment to our environment. We have migrated almost 1600+ Domino critical application DBs from Rochester environment to our (GNA) environment through FTP.
MailFile Migration to Cloud
October 1, 2015 – April 1, 2016
I worked on user and functional ID mail file migration from on-premise to IBM Smart cloud. We migrated all US, Canada and Latin America users mail file to IBM Smart cloud. It was a big and critical projects because we were migrating mail-files of user. Mail files are very critical but we did great successfully we migrated all mail files to cloud in given time of interval.
Synthesis - Color & Pattern Detection (Major Project)
February 1, 2014 – Present
Practical implementation and synthesis to demonstrate pattern and color detection using the
Google Introduction to Generative AI
June 23, 2026 – Present
Data Analysis Using Python
IBM
June 23, 2026 – Present
Data Science Methodologies
IBM
June 23, 2026 – Present
Machine Learning with Python - Level 1
IBM
June 23, 2026 – Present
Big Data Foundations - Level 1
IBM
June 23, 2026 – Present
Enterprise Design Thinking Practitioner
IBM
June 23, 2026 – Present
Python for Data Science
IBM
June 23, 2026 – Present
Data Science Foundations - Level 1
IBM
June 23, 2026 – Present
Data Science Foundations - Level 2 (V2)
IBM
June 23, 2026 – Present
IBM Agile Explorer
IBM
June 23, 2026 – Present
Microsoft Certified: Data Analyst Associate
Microsoft
June 23, 2026 – Present
Agile, Actionable Insights & Automation Explorer
Kyndryl India
June 23, 2026 – Present
Issue Based Consulting
Kyndryl
June 23, 2026 – Present
Data Warehousing for Partners: Enable Google Cloud Customers
June 23, 2026 – Present
Introduction to Responsible AI
June 23, 2026 – Present
Google: Generative AI Fundamentals
June 23, 2026 – Present
Introduction to Generative AI Studio
June 23, 2026 – Present
Attention Mechanism
June 23, 2026 – Present
Introduction to Image Generation
June 23, 2026 – Present
Elastic Certified Analyst
Elastic
June 23, 2026 – Present
Accelerate Agentic AI - Skilled
Microsoft
June 23, 2026 – Present
Kyndryl Academy for Consult - Foundation
Kyndryl
June 23, 2026 – Present
AI Foundation
Kyndryl
June 23, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse background with experience at large corporations like IBM and Kyndryl, indicating adaptability to structured environments. The range of certifications in AI, Data Science, and Agile methodologies suggests a proactive learning attitude and alignment with modern data-driven cultures. However, the project descriptions are somewhat generic, making it difficult to assess deep cultural alignment beyond a general fit for data-centric roles.
Soft Skills & Operational Fit
The candidate's experience descriptions highlight the ability to communicate findings (text, charts, graphs) and work on critical projects, suggesting good communication and responsibility. The project descriptions, while brief, indicate involvement in team-based data science projects. However, specific details on problem-solving approaches, collaboration, or leadership in complex scenarios are limited.