Nanda Rajarathinam
Data AnalystAI 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
Machine Learning Engineering Leader at Capital One
Senior Analytics professional deeply passionate about Data Science and Machine Learning with extensive background in design and development of enterprise data and ML applications • 15+ years of Design, Build and implementation experience with strong background in Extract, Transform & Load (ETL) applications for large scale Data Warehouses • Extensive experience building scalable machine learning systems and data-driven products working with cross functional teams • Strategic thought partner for leaders across the organization on driving business impact through machine learning • Worked on large data sets of structured, semi-structured and unstructured data to discover data insights and collaborated with business partners to deliver business value through these insights • Ranked #1 in the Kaggle Consumer Credit Default challenge (closed competition) to accurately predict probability of consumer experiencing financial distress after 2 years. • Ranked Top 2% in the Kaggle Higgs Boson challenge (closed competition) implementing advanced Python machine learning model ensembles, stacking, and feature engineering demonstrating high accuracy rates in predictive analytics • Experience working on Bayesian Optimizer in tuning the hyper-parameters for Gradient Boosting, Extreme Gradient Boosting and Random Forest models
NYC Data Science Academy
Data Science
January 1, 2016 – Present
Project Management Institute (PMI)
PMP, Project Management
N/A – Present
Birla Institute of Technology and Science, Pilani
M.S., Software Engineering/Information Systems
N/A – Present
College of Engineering - Guindy, Anna University
B.S., Mechanical Engineering
N/A – Present
Capital One
Engineering Lead - Enterprise Graph Services(Graph ML & Gen AI Tooling)
August 1, 2022 – Present
Capital One
Lead Machine Learning Engineering Manager
June 1, 2020 – July 1, 2022
Capital One
Engineering Manager - Machine Learning
January 1, 2019 – May 1, 2020
Capital One
Principal Engineer - Machine Learning
May 1, 2017 – December 1, 2018
EY
Manager - Data Science & Analytics
September 1, 2013 – February 1, 2017
Greater New York City Area
Barclays Investment Bank
Principal Consultant
January 1, 2013 – August 1, 2013
Jersey city, NJ
Credit Suisse
Lead Consultant
December 1, 2010 – January 1, 2013
New York City Metropolitan Area
Cognizant
Manager - Advanced Analytics
April 1, 2010 – August 1, 2013
Cognizant
Senior Systems Analyst / Senior Associate
January 1, 2007 – March 1, 2010
Cognizant
Systems Analyst / Associate
March 1, 2005 – December 1, 2006
The Hartford
Project Lead
January 1, 2005 – October 1, 2010
Cloudera Certified Developer for Apache Hadoop (CCDH)
Cloudera
June 24, 2026 – Present
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Coursera
June 24, 2026 – Present
The Data Scientist’s Toolbox
Coursera Course Certificates
June 24, 2026 – Present
AWS certified Solutions Architect - Associate
Amazon Web Services (AWS)
June 24, 2026 – Present
HDP Certified Developer
Hortonworks
June 24, 2026 – Present
Neural Networks and Deep Learning
Coursera
June 24, 2026 – Present
Project Management Professional
Project Management Institute
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a long tenure at Capital One, progressing through various senior technical and leadership roles, indicating loyalty and adaptability within a large corporate environment. Their experience spans multiple financial institutions (Capital One, EY, Barclays, Credit Suisse) and consulting (Cognizant), suggesting exposure to diverse organizational cultures and client-facing roles. The breadth of technical skills and project types (fraud detection, credit risk, customer segmentation, graph ML, Gen AI) demonstrates a willingness to tackle varied challenges. However, the target role is 'Data Analyst', which is a significant shift from their recent senior Machine Learning Engineering and leadership roles. This might indicate a potential mismatch in career trajectory or a desire for a more focused analytical role, which needs further exploration to ensure cultural alignment with the expectations of a Data Analyst position.
Soft Skills & Operational Fit
The candidate's extensive experience in leadership roles (Engineering Lead, Lead Machine Learning Engineering Manager, Manager - Data Science & Analytics) suggests strong operational fit and leadership capabilities. The descriptions indicate a focus on delivering business value (e.g., "$2M+ reduction in fraud related operational costs"), which aligns with a results-oriented operational style. The PMP certification further supports project management and organizational skills. However, without psychometric test results, specific soft skills like logical reasoning, work attitude, stress handling, and team collaboration cannot be objectively assessed.