ASFAK A

Lead Data Scientist

https://www.opentalent.in/asfak-a

Key Strengths

Demonstrated strong practical experience in end-to-end ML model development and deployment, including fraud detection and credit risk prediction, using advanced algorithms like Random Forest, XGBoost, and Neural Networks.
Proficient in MLOps practices, including ETL pipeline construction (AWS Glue, EMR, Lambda, S3, Redshift, Databricks), continuous model monitoring, and API deployment (Flask, FastAPI, Docker) for real-time inference.
Extensive experience with feature engineering using PySpark and advanced statistical techniques, crucial for high-performance model development in complex domains.
Strong capabilities in model explainability (SHAP) and adherence to Responsible AI principles, vital for regulated environments like fintech.
Recent and highly relevant experience with advanced AI concepts, including Retrieval-Augmented Generation (RAG) pipelines using LangChain and Hugging Face, and Agentic AI with the ReAct framework, showcasing cutting-edge technical skills.
Solid data analysis and visualization skills using Python, SQL, Pandas, NumPy, Matplotlib, Seaborn, Power BI, and Tableau, enabling effective communication of insights to technical and non-technical stakeholders.
Relevant domain experience across multiple fintech companies (Google Pay, PhonePe, FOSTER TECHNOLOGIES) provides valuable industry context for a Lead Data Scientist role.

Cultural & Operational Fit

Cultural Fit Analysis

Insufficient data to assess cultural fit based on provided information, as psychometric test results are not available.

Soft Skills & Operational Fit

The candidate demonstrates strong communication skills through presenting model performance to non-technical leadership and explaining complex models using SHAP for compliance teams. Evidence of efficiency and problem-solving is seen in automating reporting pipelines and designing robust Agentic AI systems. Experience coordinating cross-functional teams (from an earlier role) suggests collaborative capabilities. The focus on Responsible AI and ethical considerations indicates a mature approach to data science operations.

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Assessing your cultural and operational fit

About

Innovative Data Scientist with 4+ years of hands-on experience building cutting-edge AI solutions, advanced machine learning models, and Generative AI applications. Proficient in developing Agentic AI systems — autonomous, multi-step AI agents using LangChain Agents and tool-use frameworks — as well as Retrieval-Augmented Generation (RAG) pipelines, LLM-powered chatbots, and AI-based product prototypes. Experienced in the full ML lifecycle: exploratory data analysis, statistical modeling, model hosting, REST API conversion, and production deployment on AWS, Azure, and Databricks. Skilled in Explainable AI (SHAP/LIME) and Responsible AI practices. Strong communicator who translates complex analytical findings into clear business insights for non-technical stakeholders.

Top Skills

Python

Experience

FOSTER TECHNOLOGIES INDIA Pvt Ltd

Data Scientist

June 1, 2024 – Present

Bengaluru, Karnataka, India

Google Pay

Junior Data Scientist

February 1, 2023 – June 1, 2024

India

PhonePe

Data Analyst

March 1, 2022 – February 1, 2023

India

Global Polymers Pvt Ltd

Operations Executive

December 1, 2020 – January 1, 2022

Salem, Tamil Nadu, India

Key Strengths

Demonstrated strong practical experience in end-to-end ML model development and deployment, including fraud detection and credit risk prediction, using advanced algorithms like Random Forest, XGBoost, and Neural Networks.
Proficient in MLOps practices, including ETL pipeline construction (AWS Glue, EMR, Lambda, S3, Redshift, Databricks), continuous model monitoring, and API deployment (Flask, FastAPI, Docker) for real-time inference.
Extensive experience with feature engineering using PySpark and advanced statistical techniques, crucial for high-performance model development in complex domains.
Strong capabilities in model explainability (SHAP) and adherence to Responsible AI principles, vital for regulated environments like fintech.
Recent and highly relevant experience with advanced AI concepts, including Retrieval-Augmented Generation (RAG) pipelines using LangChain and Hugging Face, and Agentic AI with the ReAct framework, showcasing cutting-edge technical skills.
Solid data analysis and visualization skills using Python, SQL, Pandas, NumPy, Matplotlib, Seaborn, Power BI, and Tableau, enabling effective communication of insights to technical and non-technical stakeholders.
Relevant domain experience across multiple fintech companies (Google Pay, PhonePe, FOSTER TECHNOLOGIES) provides valuable industry context for a Lead Data Scientist role.

Cultural & Operational Fit

Cultural Fit Analysis

Insufficient data to assess cultural fit based on provided information, as psychometric test results are not available.

Soft Skills & Operational Fit

ASFAK A

Key Strengths

Cultural & Operational Fit

About

Top Skills

Skills

Education

Experience

Certifications

Key Strengths

Cultural & Operational Fit