Anuva Sharma

Data Scientist

Bengaluru, Karnataka, India7 yrs 5 mos experience

AI ML PractitionerAI Enabled

Key Highlights

Expert in AI and Machine Learning technologies.
Proven track record in enhancing operational efficiency.
Strong background in data-driven decision making.

Stackforce AI infers this person is a Data Scientist with expertise in AI and Machine Learning for SaaS applications.

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Skills

Core Skills

Machine LearningNatural Language Processing (nlp)

Other Skills

GenAIComputer VisionLangChainLangGraphAI-Powered AgentLarge Language Models (LLM)Vector DatabasesGraph DatabasesExtract, Transform, Load (ETL)Python (Programming Language)PyTorchDeep LearningA/B TestingJavaCore Java

About

Keen to work in a firm with a professional work driven environment where i can utilize and apply my knowledge skills which would enable me to grow while fulfilling organisational goals.

Experience

7 yrs 5 mos

Total Experience

1 yr 9 mos

Average Tenure

4 mos

Current Experience

Walmart

Senior Data Scientist

Jan 2026 – Present · 4 mos · Bengaluru

GenAIComputer VisionLangChainLangGraphAI-Powered AgentLarge Language Models (LLM)+30

Ninjacart

Senior Data Scientist

Oct 2022 – Dec 2025 · 3 yrs 2 mos · India · On-site

I focused on leveraging AI technologies to drive operational efficiency and decision support at Ninjacart.
Developed a scalable AI-powered Business Analyst Agent, integrating enterprise databases for strategic insights and business decision making.
Automated payment slip validation using open source OCRs and LLMs, eliminating manual processes and enhancing turnaround time.
Created a real-time catalog pipeline, enabling the onboarding of over 500 stores and improving operational efficiency.

Python (Programming Language)Natural Language Processing (NLP)Machine Learning

O9 solutions, inc.

Data Scientist

Apr 2021 – Sep 2022 · 1 yr 5 mos · India · Remote

At o9 Solutions, Inc., I focused on enhancing forecasting accuracy through innovative machine learning solutions. By integrating advanced feature engineering with tree-based algorithms, I significantly improved model performance. Additionally, I employed interpretability tools such as SHAP and LIME to ensure transparency, which led to greater adoption of our forecasting applications.

Python (Programming Language)Natural Language Processing (NLP)Machine Learning

Mu sigma inc.

Trainee decision Scientist

Mar 2019 – Mar 2021 · 2 yrs · Bangalore · On-site

Designed and implemented data-driven customer segmentation strategies to enhance user engagement.
Applied advanced machine learning and clustering techniques for personalized marketing efforts.
Developed predictive models to optimize campaign targeting, improving customer acquisition.

Machine LearningSQL