Mounika

Hyderabad, India 4+ yrs exp 80 · Excellent

About

Experience across banking and applied research environments, applying business and domain understanding to provide evidence-based decision support. Combines analytical problem solving with the ability to structure complex problems, define analytical requirements, analyze relevant data, generate actionable insights, and collaborate with stakeholders to support data-driven decision-making.

Skills & Expertise (19)

Machine Learning Advanced

8.3/10

Years Exp

Python Advanced

8.0/10

Years Exp

SQL Advanced

7.5/10

Years Exp

Exploratory data analysis Advanced

7.0/10

Years Exp

Requirements Analysis Advanced

6.5/10

Years Exp

Data Cleaning & Preparation Advanced

6.5/10

Years Exp

Stakeholder Collaboration Advanced

6.5/10

Years Exp

Process Improvement Intermediate

6.0/10

Years Exp

Financial Statement Analysis Intermediate

6.0/10

Years Exp

Domain analysis Intermediate

5.5/10

Years Exp

Prompt Engineering Intermediate

5.0/10

Years Exp

Retrieval-Augmented Generation Intermediate

5.0/10

Years Exp

agentic AI Intermediate

5.0/10

Years Exp

Data Visualization Statistical Analysis Excel Power BI Problem structuring LLMs

Work Experience

Research Associate

University of Michigan

Apr 2025 - Oct 2025

Collaborated with researchers to understand project needs and reviewed 50+ scientific papers to identify relevant process and technology approaches for designing a domain-specific AI knowledge management system. Contributed to an early-stage proof-of-concept document-processing workflow using Nougat and LangChain, supporting exploration of a knowledge graph-based information system.

Professional Aide

Michigan State University

Feb 2024 - Oct 2025

Collaborated with 5+ faculty and researchers to understand project requirements, identify data-standardization challenges, define analytical requirements, and document analytical approaches for AI-enabled research workflows. Transformed unstructured information from scientific literature into a structured dataset by engineering domain-informed features, including drug molecular descriptors generated using RDKit for predictive modeling. Developed a proof-of-concept analytical framework to assess the feasibility of using data science to predict drug release and inform material formulation; evaluating multiple regression models with Group K-Fold validation to mitigate data leakage. Recruited and onboarded 30+ project teams for NSF-funded research, coordinating data collection and managing multimodal research data from Qualtrics surveys and project meetings while maintaining IRB compliance and data privacy. Prepared and analyzed survey data with 150+ features for statistical modeling, performing data cleaning, EDA, descriptive statistics, and qualitative analysis to examine the relationship between project charter use and team performance.

Junior Management Officer

Bank of India

Aug 2019 - Apr 2022

Evaluated 150+ retail and SME lending opportunities through borrower due diligence, financial analysis, credit risk assessment, and underwriting to support informed lending decisions. Assessed borrower creditworthiness using financial ratios (CR, DSCR, DER) and internal credit rating model (IMAC), informing loan pricing and lending conditions based on borrower risk profiles. Conducted account audits and documentation reviews against RBI regulations and internal controls, identifying compliance and process gaps to support risk mitigation. Structured loan-processing workflows by assigning sequential responsibilities across a four-member team, improving coordination and reducing credit-processing turnaround time by 15-20% on average.