Indrajit S.

AI Researcher

Bengaluru, Karnataka, India14 yrs 3 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in developing fraud detection models using advanced ML techniques.
Strong foundation in feature engineering and model evaluation.
Proven track record in automating machine learning processes.

Stackforce AI infers this person is a Fintech Data Scientist specializing in machine learning and big data analytics.

Contact

indrajeetswain@gmail.com LinkedIn

Skills

Core Skills

Machine LearningData ScienceData Analysis

Other Skills

PyTorchBig DataXGBoostTensorFlowPython (Programming Language)Predictive ModelingArtificial Intelligence (AI)AlgorithmsMathematicsStatisticsDeep LearningData ModelingPattern RecognitionNatural Language Processing (NLP)Data Warehousing

About

At Citi, my role as a Senior Data Scientist centers on developing robust credit card fraud detection models, harnessing the power of Big Data and advanced machine learning technologies like XGBoost. These contributions are pivotal to our core ML platform's success, which significantly bolsters the company's revenue. Our team's dedication to innovation and efficiency has positioned us as leaders in transaction analysis. My recent work involves automating and implementing cutting-edge machine learning models, utilizing frameworks such as PyTorch and Hugging Face to scale our operations. With a strong foundation in feature engineering and model evaluation from my tenure as a Data Scientist, I am committed to advancing the field of data science and ensuring the integrity of financial transactions. Our organization's pursuit of excellence is reflected in our rigorous R&D efforts and the seamless integration of sophisticated ML models into our analytical processes.

Experience

Citi

3 roles

Senior Data Scientist

Promoted

Jan 2023 – Present · 3 yrs 2 mos

Working as individual conributr .
Worked Credit card fraud delinquency model.
Involved in R&D task in which I am working in automaton and implementing the machine learning models like (Hugging face , PyTorch ,Xgboost ).

Data SciencePyTorchMachine Learning

Data Scientist

Jul 2020 – Jan 2023 · 2 yrs 6 mos

involved in feature engineering
Developing the genral module which will help Model plugging quickly.
involved in evaluting the Model results .
I am part of core Machine learning Distributed platform for analysing the card transactions using Bigdata and ML technologies. This platform contributes major chunk towards company's revenue .

TensorFlowPython (Programming Language)Machine LearningData Science

Machine Learning Engineer

Mar 2018 – Jul 2020 · 2 yrs 4 mos

Machines are much better than humans at processing large datasets. They are able to detect and recognize thousands of patterns on a user’s purchasing journey instead of the few captured by creating rules.
1.speed
2.Scale
3.Efficiency
Spark,Python(gradient descent) and Machine learning .
Tensor flow on customer and assign the score to the customer (Hidden)

Data AnalysisPredictive ModelingMachine Learning

Ericsson

Machine Learning Engineer

Jan 2016 – Mar 2018 · 2 yrs 2 mos · Pune Area, India

Working as a individual contributor with latest technologies Spark,Scala in Analytics .
Designing efficient data structures to build robust framework using scalable services and APIs
Building functionality to align to data platform standards and best practices.
Experience with Apache Hive/Hadoop

Predictive ModelingData Analysis