Anjali Kumari

Data Scientist

India3 yrs 6 mos experience

Key Highlights

Expert in AI and machine learning solutions.
Proven track record in predictive modeling.
Strong background in data-driven decision making.

Stackforce AI infers this person is a Data Scientist specializing in Fintech and E-commerce analytics.

Contact

Skills

Core Skills

Machine LearningData Analysis

Other Skills

AWS LambdaAmazon S3Amazon Web Services (AWS)BitbucketDeep LearningDjangoExploratory Data AnalysisFastAPIFlaskGitHugging Face ProductsLangGraphLarge Language Models (LLM)Microsoft Power BIMongoDB

About

With a Master’s degree in Physics from the Indian Institute of Science Education and Research, Thiruvananthapuram, I currently serve as a Data Scientist at International Asset Reconstruction Company. My core expertise lies in developing and deploying AI and machine learning solutions that drive intelligent decision-making across business functions. At International Asset Reconstruction Company, I lead data-driven initiatives by designing predictive models, building scalable ML pipelines, and leveraging advanced algorithms to uncover hidden patterns in complex financial datasets. Passionate about transforming raw data into strategic insights, I focus on aligning cutting-edge AI solutions with organizational goals—delivering measurable impact through innovation, analytical rigor, and cross-functional collaboration.

Experience

3 yrs 6 mos

Total Experience

1 yr 6 mos

Average Tenure

6 mos

Current Experience

Liquide

Data Scientist

Nov 2025 – Present · 6 mos · Bengaluru, Karnataka, India · On-site

International asset reconstruction company

Data Scientist

Jan 2024 – Nov 2025 · 1 yr 10 mos · Delhi, India · On-site

Python (Programming Language)Exploratory Data AnalysisBitbucketPandas (Software)Amazon S3AWS Lambda+6

Growmore business

Data Scientist Intern

Jun 2023 – Aug 2023 · 2 mos · India · Remote

In my pivotal role, I specialize in analyzing intricate e-commerce data, encompassing data extraction, cleansing, and processing to unveil actionable insights. My proficiency in utilizing Python, pandas, and SQL allows me to proficiently navigate extensive datasets, distilling meaningful information crucial for strategic determinations. Additionally, I am actively engaged in API development using the Django Framework, seamlessly bridging backend functionalities with the user interface to enhance our company's front-end experience. Another notable facet of my internship is the application of machine learning techniques to prognosticate sales trends. I conduct in-depth analyses centered on business objectives, investigating customer retention and churn rates to pinpoint factors contributing to customer attrition. This holistic involvement underscores my contribution to driving data-informed decisions and innovative solutions.

Amazon Web Services (AWS)FlaskMachine LearningGitDjangoPython (Programming Language)+1

Ai variant

Data Scientist

Dec 2022 – Jun 2023 · 6 mos · India · Remote

I develop a sophisticated stock market prediction model. Leveraging my skills in data analysis and machine learning, I successfully built the model and further enhanced its accessibility by deploying it using Streamlit. This experience provided valuable insights into the intersection of finance and technology.

Deep LearningStreamlitVisualizationPython (Programming Language)Machine LearningData Analysis

Indian institute of science education and research, thiruvananthapuram

2 roles

Master Thesis Student

Jun 2021 – Apr 2022 · 10 mos · India

Project Title: Surface characterization and modification of 6H-SiC by femtosecond laser irradiation.
Project Guide: Dr. Somu Kumaragurubaran
Used various characterization technique to verify the polytype of SiC substrate. Femtosecond laser irradiation has been performed to modify the surface of the 6H-Sic substrate. Further studies were performed to understand the morphology of the irradiated area.

Minor Project

Feb 2021 – Jun 2021 · 4 mos · India

Project Title: Theoretical study on the photosensitization mechanism of pyrene-4,5-dione
Project Guide: Dr. Vennapusa Sivaranjana Reddy
Understood the details of photosensitization behavior of pyrene-4,5-dione from the static energy calculations employing density functional theory. The conclusions are solely based on the time-independent static energy data.