Amruthavalli M

AI Researcher

Bengaluru, Karnataka, India4 yrs 7 mos experience

AI EnabledAI ML Practitioner

Key Highlights

4+ years of experience in data-driven solutions.
Expertise in Python, SQL, and ML modeling.
Proven track record in optimizing business strategies.

Stackforce AI infers this person is a Data Science expert with a focus on AI solutions in the FMCG and Fintech sectors.

Contact

Skills

Core Skills

Machine LearningArtificial IntelligenceData ScienceData AnalysisSql

Other Skills

Core MLGen aiPython (Programming Language)PandasNumPyIT Business AnalysisDatabasesk-means clusteringAgentic AI DevelopmentNatural Language Processing (NLP)Hugging Face ProductsRegression ModelsIRRBBCredit RiskR (Programming Language)

About

Data Scientist with 4+ years of experience building data-driven and GenAI solutions across FMCG, banking, and insurance domains. Strong in Python, SQL, ML modeling, optimization, and RAG-based systems that translate complex data into real business impact. Feel free to connect via email for collaboration or job opportunities at amruthavallim3@gmail.com

Experience

4 yrs 7 mos

Total Experience

1 yr 5 mos

Average Tenure

2 mos

Current Experience

Iqvia

AI Engineer 2 - Data Science

Mar 2026 – Present · 2 mos · Bengaluru · Hybrid

Core MLGen aiMachine LearningArtificial Intelligence

Tiger analytics

AI ML Senior Associate - Data Science

Dec 2024 – Feb 2026 · 1 yr 2 mos · Bengaluru

Developed an Elastic Regression Model to optimize promotional strategies across 200+ SKUs, improving forecast accuracy by 22%.
Designed and implemented a Pyomo-based optimization model using the Bonmin solver, leading to a 15% increase in trade promotion ROI through optimal allocation of marketing budgets.
Automated data preprocessing pipelines and model training using Python (Pandas), reducing end-to-end execution time by 40%.
Collaborated with cross-functional teams to convert model outputs into actionable insights, aiding strategic decision-making for 20+ regional markets.

Python (Programming Language)Machine LearningData Science

Cognext.ai

Associate Data Scientist

Mar 2024 – Dec 2024 · 9 mos · Bengaluru · Remote

Translated R code to Python (Pandas, NumPy), reducing processing time by 65%
Engineered NII, EVE, and Duration computations, improving accuracy by 20%
Developed a GenAI solution using LLMs and RAG to enable question-answering over regulatory documents
Built LST Report Compute for liquidity stress testing under different stress scenarios
Optimized Behavioral Cashflow modeling to assess non-maturing deposit (NMD) maturity profiles
Designed Hierarchy Mapping to improve risk aggregation across products, portfolios, and entities
Conducted Attribution Analysis to assess changes in NII, EVE, and Duration due to interest rate shifts

Python (Programming Language)NumPyData ScienceMachine Learning

Tata consultancy services

2 roles

System Engineer

Promoted

Mar 2022 – Feb 2024 · 1 yr 11 mos

Employed SQL, Python for efficient data manipulation, achieving a 30% increase in processing speed.
Utilized Tableau to create interactive visualizations, enhancing data accessibility by 25%.
Ensured 99.5% data accuracy through comprehensive database testing for tax and finance analytics.
Streamlined project execution with detailed test documentation, reducing testing time by 20%.
Adhered to agile methodologies, accelerating project delivery by,successfully leading the automation of corporate loan
application processes.

IT Business AnalysisSQLData Analysis

Assistant System Engineer

Aug 2021 – Mar 2022 · 7 mos

Implemented feature engineering pipelines to enhance model accuracy and stability.
Designed and optimized SQL queries to improve data retrieval performance across large financial datasets.
Developed Python scripts to automate recurring data preparation tasks, reducing manual effort and errors.

DatabasesSQLData Analysis

Exposys data labs

Intern

Jun 2021 – Aug 2021 · 2 mos

Spearheaded customer segmentation initiative using K-means clustering, enhancing marketing strategies and resource allocation.
Conducted end-to-end data processing, from collection and cleaning to feature engineering, ensuring data integrity and model robustness.

k-means clusteringPython (Programming Language)Data Science