Kalpit AdhaoKA
Open to opportunities

Kalpit Adhao

@kalpitadhao

Data Scientist specializing in AI and risk analysis.

India

What I'm looking for

I am looking for a role that fosters innovation and allows me to leverage my skills in machine learning and data analysis to drive impactful solutions in the financial sector.

I am a dedicated Data Scientist with a strong foundation in machine learning and quantitative analysis, currently working at Navi Technologies. My experience includes developing AI-powered systems for loan default prediction and risk analysis, where I successfully implemented LLM-driven solutions that significantly reduced costs and improved accuracy.

Throughout my career, I have engineered scalable, real-time risk detection systems and designed robust predictive models that enhance decision-making in financial contexts. My academic background in Electronics Engineering from IIT BHU has equipped me with the technical skills necessary to excel in data-driven environments, and I am passionate about leveraging technology to solve complex problems.

Experience

Work history, roles, and key accomplishments

NT
Current

Data Scientist

Navi Technologies

Jul 2024 - Present (11 months)

Developed AI-powered systems for loan default prediction and risk analysis using LLMs. Implemented cost-efficient LLM deployment strategies and created a scalable real-time risk flagging pipeline, enhancing operational response times and reducing false positives.

AS

Quantitative Research Consultant

AlphaGrep Securities

Jul 2024 - Jul 2024 (0 months)

Developed predictive trading signals and optimized risk-adjusted portfolios for US markets. Focused on enhancing diversification and performance through advanced statistical techniques and factor modeling.

Education

Degrees, certifications, and relevant coursework

Indian Institute of Technology (BHU) Varanasi logoIV

Indian Institute of Technology (BHU) Varanasi

Bachelor of Technology, Electronics Engineering

2020 - 2024

Grade: 8.04

Pursuing a Bachelor of Technology in Electronics Engineering with a CGPA of 8.04. The program covers various aspects of electronics and communication engineering, preparing students for advanced roles in technology and engineering.

Tech stack

Software and tools used professionally

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Kalpit Adhao - Data Scientist - Navi Technologies | Himalayas