Dinesh Grewal
Big Data EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
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 III | Scaled ML solutions | 11+ yrs exp in AI/Cloud/Data Strategy
- Senior Data Scientist with 10+ years of experience in AI, machine learning, and advanced analytics across aviation, fintech, FMCG, and insurance domains. - Current role at Amadeus: Leading cross-functional teams to deliver passenger and revenue forecasting solutions for global airline partners. - Skilled in designing, training, and deploying ML models that enhance forecast accuracy, reduce runtime, and integrate diverse data sources. - Experienced in building data validation and quality frameworks, ensuring high-confidence analytics and reliable BI reporting. - Past experience includes AI-driven automation, fraud detection systems, credit risk modeling, recommender systems, and NLP solutions across large-scale, high-throughput environments. - Proven leadership in mentoring teams, driving innovation initiatives, and integrating GenAI into production-grade enterprise systems. - Passionate about operationalizing AI at scale, improving decision-making, and creating data-driven products with real-world impact.
Punjabi university, patiala
Bachelor’s Degree, Computer Science
January 1, 2010 – January 1, 2014
Amadeus Labs
Data Scientist III
May 1, 2022 – Present
India · Hybrid
AXA
Process Lead
February 1, 2020 – May 1, 2022
Bengaluru Area, India
GainInsights Solutions
Machine Learning Engineer
February 1, 2019 – December 1, 2019
Bangalore, India
DXC Technology
Programmer Analyst
January 1, 2018 – January 1, 2019
DXC Technology
Data Analyst | Business Intelligence/Analysis
May 1, 2015 – January 1, 2019
HPE ADM
July 1, 2016 – Present
• Collecting, tracking and analyzing data using MS Excel. • Developing visualizations, interactive reports, and dashboards using Tableau. • Implemented the “automated resolution” use case in Tableau using R code. • Successfully interpreted and analyzed incident data using MS Excel and Tableau, resulting in 10% decrease in incident requests. • Worked on Forecasting incident data for various Clients using R Programming. Used Count Prediction by applying Poisson distribution.
Crash Course on Python
Coursera
June 24, 2026 – Present
Python Quick Start
June 24, 2026 – Present
Learning Data Analytics
June 24, 2026 – Present
Importing & Cleaning Data with R Track
DataCamp
June 24, 2026 – Present
Bracketology Club: Using March Madness to Learn Data Science
www.linkedin.com/learning
June 24, 2026 – Present
Predictive Modeling Fundamentals I
https://courses.cognitiveclass.ai/
June 24, 2026 – Present
Python 101 for Data Science
https://courses.cognitiveclass.ai/
June 24, 2026 – Present
Machine Learning with R
https://courses.cognitiveclass.ai
June 24, 2026 – Present
Python
HackerRank
June 24, 2026 – Present
Introduction to Natural Language Processing
Analytics Vidhya
June 24, 2026 – Present
Machine Learning with Python
cognitiveclass.ai
June 24, 2026 – Present
Intro to Python for Data Science Course
DataCamp
June 24, 2026 – Present
Data Privacy Fundamentals
https://courses.cognitiveclass.ai
June 24, 2026 – Present
Hadoop 101
https://courses.cognitiveclass.ai/
June 24, 2026 – Present
Statistics 101
https://courses.cognitiveclass.ai/
June 24, 2026 – Present
Data Visualization with R
https://courses.cognitiveclass.ai
June 24, 2026 – Present
Data Science Methodology
https://courses.cognitiveclass.ai
June 24, 2026 – Present
Data Science 101
cognitiveclass.ai
June 24, 2026 – Present
Intro to SQL for Data Science Course
DataCamp
June 24, 2026 – Present
Leadership Mindsets
June 24, 2026 – Present
Using Python for Automation
June 24, 2026 – Present
Data Science and Analytics Career Paths and Certifications: First Steps
June 24, 2026 – Present
R Programming Track
DataCamp
June 24, 2026 – Present
Data Analyst with R Track
DataCamp
June 24, 2026 – Present
Code of Business Conduct and CLEAR Values Review
DXC Technology
June 24, 2026 – Present
Big Data 101
https://courses.cognitiveclass.ai
June 24, 2026 – Present
R 101
https://courses.cognitiveclass.ai
June 24, 2026 – Present
Machine learning on Google Cloud
June 24, 2026 – Present
ABBYY FlexiCapture 12 Basic
ABBYY
June 24, 2026 – Present
The Six Morning Habits of High Performers
June 24, 2026 – Present
RPA: Automation Anywhere IQ Bot
June 24, 2026 – Present
Social Media Marketing: Strategy and Optimization
June 24, 2026 – Present
Joining Data in PostgreSQL
DataCamp
June 24, 2026 – Present
Data Science Hands-On with Open Source Tools
cognitiveclass.ai
June 24, 2026 – Present
ABBYY FlexiCapture 12 Advanced
ABBYY
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has worked across different companies (Amadeus Labs, AXA, GainInsights, DXC Technology) and roles (Data Scientist, Process Lead, ML Engineer, Programmer Analyst, Data Analyst), indicating adaptability. The project descriptions show a focus on delivering business value and improving processes, which suggests a results-oriented mindset. The certifications cover a broad range of data science, machine learning, and programming topics, demonstrating a commitment to continuous learning. However, the target role is 'Big Data Engineer', and while there's exposure to 'Big Data' concepts, the core experience leans more towards Data Science and ML application rather than deep Big Data engineering infrastructure or distributed systems development.
Soft Skills & Operational Fit
The candidate's experience as a 'Process Lead' at AXA suggests an ability to work with various teams, define processes, and advocate for innovation, indicating good collaboration and problem-solving skills. The descriptions also imply a focus on improving customer experience and automating processes, which aligns with operational efficiency.