Ritika Wadhawan

CEO

Bengaluru, Karnataka, India12 yrs 6 mos experience

Highly StableAI ML Practitioner

Key Highlights

Over 10 years of experience in machine learning and AI.
Expertise in data product development and big data initiatives.
Strong communication and project management skills.

Stackforce AI infers this person is a Data Science expert with a focus on Healthcare and AI-driven solutions.

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Skills

Core Skills

Machine LearningData Analysis

Other Skills

AI/ML modelingASP.netBig Data VisualizationBrand StrategyBusiness Intelligence (BI)CC++CommunicationCompetitive LandscapeConsumer ResearchData ManipulationData MiningData Mining & ManagementEffective CommunicationHTML

About

I am a data science enthusiast with over 10 years of experience in the field of machine learning and AI. Throughout my career, I have had the privilege of working with esteemed companies such as Johnson & Johnson, UnitedHealth Group, and Aon Hewitt on various projects spanning across several domains including healthcare, consumer, digital media, e-commerce, and finance management. My primary role is to assist my customers and organization in identifying underlying business problems and areas for improvement. I then execute analytical experiments to help solve these problems. Additionally, I am proficient in project and team management and have experience in establishing pilot processes and developing new talent within the team. As a firm believer in the power of knowledge-sharing, I enjoy speaking, educating, and engaging with others in various technology forums.

Experience

Kenvue

Lead - Retail Excellence Analytics

Jun 2024 – Present · 1 yr 9 mos · Bangalore · On-site

Johnson & johnson

Data Scientist

Jul 2021 – Jun 2024 · 2 yrs 11 mos · Pune, Maharashtra, India

Unitedhealth group

Data Scientist

Sep 2016 – Jul 2021 · 4 yrs 10 mos · Noida, Uttar Pradesh, India

As a Data Scientist, I identify and integrate new datasets that can be leveraged through our product capabilities. I also work closely with the data engineering team to strategize and execute the development of data products
Execute analytical experiments to help solve various problems, making a true impact across various domains
Identify relevant data sources and sets to mine for client business needs and collect large structured/unstructured datasets and variables
Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy.
Analyze data for trends and patterns and interpret data to explain the ‘why & how’
Implement analytical models into production by collaborating with software developers and machine learning engineers
Communicate analytic solutions to stakeholders and implement improvements as needed to operational systems
Conduct POCs on new technologies that support big data initiatives
Create interactive business visualizations to enable insights and action-oriented solutions
Automate common data science workflows
Day-to-day project management: Client communication, Documentation, Define Delivery timelines, work- allocation and training fellow teammates
Key Skills:
Data Manipulation / Statistical Analysis in Python using Pandas, Numbly
AI/ML modeling using Scikit Learn and H20.ai
Expertise in Machine Learning algorithms such as Random Forest, Decision Trees, Supervised / unsupervised learning, Classification and Regression modeling, clustering etc.
Big Data Visualization in Tableau, Power BI, Dash
Data Mining & Management using Hive, SQL, Spark
Effective Communication & Presentation skills