Shubham Aggarwal — Data Scientist

Experienced Data Scientist | Health Care & Investment Banking Industries Proven track record in driving data-centric solutions across the Health Care and Investment Banking sectors. Adept at crafting, implementing, and scaling enterprise-level strategies grounded in cutting-edge machine learning practices. My strength lies in translating intricate business challenges into tangible mathematical frameworks. Specializing in orchestrating the deployment of machine learning, AI, and deep learning solutions to drive proactive, data-powered strategies. 🔑 Accomplishment: As a Senior Data Scientist, I've successfully developed data-driven AI products to combat fraudulent activities within the financial domain. Passionate about: 🚀 Approaching complex issues with data-driven methodologies. 🧩 I find my purpose in delving into intricate data-laden dilemmas, deriving elegant solutions. Working on Complex Data Driven Problems. 🤝 Connecting with diverse individuals for continuous learning and growth. 🌐 My Expertise Encompasses: ✔️ Expert in end-to-end machine learning modeling techniques, NLP, and data science. ✔️ Extensive experience crafting predictive models across Health Care and Finance domains. ✔️ Proficient in a spectrum of Data Science and AI methodologies. ✔️ Skilled in harnessing NLP techniques (Topic Modeling, Word Embedding, Text Classification) for text-based challenges. ✔️ Strong data analytics skills: data exploration, preparation, regression, hypothesis testing. ✔️ Designing personalized 'Recommendation Systems' to cater to individual customer needs. ✔️ Mastery of machine learning methods: NLP, Deep Learning, Supervised & Unsupervised Learning, recommendation algorithms. ✔️ Proficiency in Decision Trees, Random Forest, GBM, XGBoost, Adaboost. ✔️ Fluent in programming languages: Python and R. ✔️ Profound knowledge of analytics tools: SAS, R, SQL, Python, PySpark. ✔️ Hands-on experience with diverse databases including MySQL and SQL Server.

Stackforce AI infers this person is a Data Scientist specializing in Fintech and Healthcare analytics.

Location: Delhi, India

Experience: 9 yrs 9 mos

Skills

Machine Learning
Data Science
Data Analysis

Career Highlights

Expert in end-to-end machine learning modeling techniques.
Developed AI products to combat financial fraud.
Skilled in NLP techniques for text-based challenges.

Work Experience

JPMorgan Chase & Co.

Senior Data Scientist (5 yrs)

UnitedHealth Group

Data Scientist (3 yrs 8 mos)

Associate Software Engineer (1 yr 1 mo)

HIGH EDGE TECHNOLOGIES PRIVATE LIMITED

INTERN (2 mos)

Education

Bachelor’s Degree at Greater Noida Institute of Technology

Intermediate at St. Francis Convent School - India

Shubham Aggarwal

Data Scientist

Delhi, India9 yrs 9 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Expert in end-to-end machine learning modeling techniques.
Developed AI products to combat financial fraud.
Skilled in NLP techniques for text-based challenges.

Stackforce AI infers this person is a Data Scientist specializing in Fintech and Healthcare analytics.

Contact

Skills

Core Skills

Machine LearningData ScienceData Analysis

Other Skills

AIAnalytical SkillsArtificial Intelligence (AI)Data CleaningData CollectionDecision TreesDeep LearningFraud DetectionFraud PreventionJava ProgrammingNatural Language Processing (NLP)Predictive ModelingPySparkPython (Programming Language)R

About

Experience

Jpmorgan chase & co.

Senior Data Scientist

Mar 2021 – Present · 5 yrs · Gurugram, Haryana, India · On-site

Developed an Automated Rule Recommendation Engine for the purpose of detecting fraudulent activities, employing the synergy of big data and advanced machine learning techniques.
Built Explainable Machine Learning algorithms to recommend strategies based on short and long-term trends to mitigate fraud and operational costs.
Developed automated machine learning solution utilizing ensemble models to produce plain English business rules reducing NOL by $5 MM per year
Identified negative list enhancement in the height of Covid-19 pandemic reducing call center volumes and NOL by $1.5 MM per year.
Overseeing $60 MM budget for Zelle, Wires, BillPay, and Wealth Management Transfer products
Significantly decreased Zelle budgeted loss rate from 2.6bps to 1.3bps
Simultaneously reduced the overall budget for all digital products
Regularly delivered updates to executive management regarding variance to budget, targets, and KPIs
Lead development of net new reporting while solutioning existing material reporting defects and issues.
Extinguished sophisticated digital fraud trends while working against tight deadlines (usually within the same week) by leveraging machine learning , insights from data, and knowledge of previous fraud trends
Facilitated the enhancement of fraud decisioning for a payment product servicing 1MM+ transactions per month; solution provided large boost in fraud detection as well as reduction in operational expenses
Managed a ML-based fraud detection product used by many different digital transaction channels by meeting with stakeholders and developers, working through requirements, and identifying opportunities to enhance the tool
Trained and upskilled analysts in data analysis, automation, and coding best practices

Fraud DetectionFraud PreventionXGBoostDecision TreesPredictive ModelingPySpark+7

Unitedhealth group

2 roles

Data Scientist

Promoted

Jul 2017 – Mar 2021 · 3 yrs 8 mos · Gurgaon, India

Conducting advanced Research and Development within the Healthcare and Insurance domain.
Creating and executing innovative solutions utilizing Machine Learning, AI, and Deep Learning techniques to facilitate proactive and data-driven approaches.
Overseeing the care of patients with complex medical needs and high associated costs.
Devised and implemented an analytical framework to detect and rank micro-populations with elevated medical and operational requirements. This valuable insight is then channeled to dedicated advocates who utilize it to provide tailored support to the respective members.

Machine LearningAIDeep LearningData AnalysisData Science

Associate Software Engineer

Jun 2016 – Jul 2017 · 1 yr 1 mo · Gurgaon, India

Key Responsibilities:
Data Collection and Cleaning:
Collect, validate, and ensure the integrity of healthcare data from various sources.
Cleanse and preprocess data to eliminate inconsistencies and inaccuracies, ensuring high data quality.
Data Analysis and Interpretation:
Apply advanced statistical methods to analyze healthcare datasets and identify trends, patterns, and correlations.
Generate comprehensive reports and visualizations to communicate findings effectively to both technical and non-technical stakeholders.
Insights Generation:
Collaborate with cross-functional teams to translate data-driven insights into actionable recommendations for healthcare strategies and patient care improvements.
Provide recommendations for process optimization and resource allocation based on data analysis outcomes.
Predictive Modeling and Forecasting:
Develop predictive models using machine learning techniques to forecast healthcare trends, patient outcomes, and resource demands.
Continuously refine and validate models to enhance accuracy and applicability.
Data Governance and Security:
Ensure compliance with data privacy regulations (e.g., HIPAA) and maintain strict data security protocols.
Contribute to the establishment and maintenance of data governance practices within the healthcare analytics environment.