Dongri Ashmanjum

Data Engineer

Kurnool, Andhra Pradesh, India0 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Strong foundation in Data Analytics and Generative AI.
Hands-on experience with SQL and Python projects.
Excited to solve real-world problems with data insights.

Stackforce AI infers this person is a Data Analyst with a focus on Generative AI in the Fintech sector.

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Skills

Core Skills

Data AnalyticsGenerative Ai

Other Skills

AI-powered data analyticsexploratory data analysispredictive modelingcollections strategydata quality assessmentData AIStrategic Data AnalysisProductivity SoftwareCollection StrategyProblem SolvingMedical DatabasesResponsible AIAccounts Payable & ReceivableRisk ModelsModeling Tools

About

I’m a passionate and curious learner exploring the exciting worlds of Data Analytics and Generative AI (GenAI). Currently pursuing my B.Sc. in Computer Science at Rayalaseema University (CGPA: 8.53), I’m building a strong foundation in programming, databases, and problem-solving, while actively learning skills to analyze data, derive insights, and work with AI-powered solutions. My current skill set includes Python, SQL, and Excel, with hands-on experience in projects like: - Student Management System (SQL) - E-Commerce Backend Management System (SQL) - Quiz Game (Python + SQL) I’m continuously enhancing my knowledge in: - Data Cleaning & Visualization - Data-Driven Decision Making - AI and Machine Learning fundamentals - Generative AI tools and applications I’m excited about opportunities where I can apply my growing expertise in data analytics and AI to solve real-world problems, learn from experienced professionals, and contribute to innovative projects.

Experience

Tata group

Data Specialist

Aug 2025 – Aug 2025 · 0 mo

Completed a job simulation involving AI-powered data analytics and strategy development for the Financial Services team at Tata iQ. Conducted exploratory data analysis (EDA) using GenAI tools to assess data quality, identify risk indicators, and structure insights for predictive modeling. Proposed and justified an initial no-code predictive modeling framework to assess customer delinquency risk, leveraging GenAI for structured model logic and evaluation criteria. Designed an AI-driven collections strategy leveraging agentic AI and automation, incorporating ethical AI principles, regulatory compliance, and scalable implementation frameworks.

AI-powered data analyticsexploratory data analysispredictive modelingcollections strategydata quality assessmentData Analytics+1