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AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Lead AI Engineer
• Strong experience with machine learning and deep learning techniques like Pandas, Numpy, PySpark, SKlearn, Docker, MLFlow, Clustering, Regression, Classification, Decision Trees, Random Forest, xgboost, LightGBM, Neural Networks (ANN, CNN, RNN), Natural Language Processing, Snowflake, AWS Sagemaker, Sagemaker Studio, AzureML, Azure Databricks, MLOps, MLFlow, Generative AI. • Deep expertise in designing and building data science solutions using Descriptive, Predictive and Prescriptive analytics. • Technical proficiency in Python. • Visualization Tools: PowerBI
Walchand Institute of Technology, Solapur
Engineer’s Degree
January 1, 2008 – January 1, 2012
Ecolab Digital Center
AI Engineer
October 1, 2025 – Present
Hybrid
Cognizant
Data Scientist
June 1, 2021 – October 1, 2025
Bengaluru, Karnataka, India
Tata Consultancy Services
Information Technology Analyst
July 1, 2018 – June 1, 2021
Capgemini
Associate Consultant
November 1, 2016 – July 1, 2018
Pune, Maharashtra, India
Infosys
Senior Systems Engineer
February 1, 2014 – October 1, 2016
Pune, Maharashtra, India
Cultural Fit Analysis
The candidate has worked across multiple companies (Infosys, Capgemini, TCS, Cognizant, Ecolab), indicating adaptability to different organizational cultures. The progression from Systems Engineer to AI Engineer suggests a growth mindset. However, the lack of detailed project descriptions makes it difficult to fully assess alignment with specific cultural values or collaborative styles.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.