Shruti Mishra

Data Analyst

Bengaluru, India 1+ yrs exp 82 · Excellent

About

Data Analyst with hands-on experience turning high-volume financial transaction data into actionable insight. Skilled in SQL, Python, and Power BI for building dashboards, investigating anomalies, and tracking performance across large, multi-region datasets (8 countries, card payment systems). Strong analytical foundation reinforced by two IEEE-published research papers applying machine learning to real-world prediction problems.

Skills & Expertise (22)

Python Intermediate

6.0/10

Years Exp

Matplotlib Intermediate

6.0/10

Years Exp

Seaborn Intermediate

6.0/10

Years Exp

Excel Intermediate

6.0/10

Years Exp

Settlement Intermediate

5.5/10

Years Exp

SQL Intermediate

5.5/10

Years Exp

Payment Processing Intermediate

5.5/10

Years Exp

Root-cause analysis Intermediate

5.5/10

Years Exp

Log Analysis Intermediate

5.5/10

Years Exp

Data Visualization Intermediate

5.5/10

Years Exp

Power BI Intermediate

5.5/10

Years Exp

Anomaly Detection Intermediate

5.0/10

Years Exp

DAX Intermediate

5.0/10

Years Exp

Trend Analysis Intermediate

5.0/10

Years Exp

Power Query Intermediate

5.0/10

Years Exp

LINUX Intermediate

5.0/10

Years Exp

Git Intermediate

5.0/10

Years Exp

GitHub Intermediate

5.0/10

Years Exp

Shell Scripting Beginner

4.0/10

Years Exp

TensorFlow Beginner

4.0/10

Years Exp

Keras Beginner

4.0/10

Years Exp

scikit-learn Beginner

4.0/10

Years Exp

Work Experience

Software Engineer

LTIMindtree

Sep 2025 - Present

Analyze high-volume card transaction data spanning 8 countries across South Africa, identifying patterns in transaction failures and authorization performance across Issuer Banks, Visa network, and Acquirer systems. Investigate POS, ATM, and e-commerce transaction flows on the HPS PowerCard platform to trace root causes of failed or anomalous transactions. Perform daily log analysis on Linux systems to detect anomalies in thousands of card transactions, supporting production stability and faster issue resolution. Validate BIN routing, authorization responses, and settlement data, and translate findings into clear summaries for cross-functional stakeholders.

Machine Learning Intern

Infosys

Jan 2025 - Jan 2025

Built and evaluated multiple deep learning models (Xception, EfficientNetB3, InceptionResNetV2, ResNet50) for an image classification and information-generation use case, comparing performance across architectures. Analyzed and visualized model performance using matplotlib and seaborn to guide tuning decisions and communicate results. Developed an interactive Streamlit application integrating Python and the Google Gemini API, translating model output into an end-user-facing tool.

Data Analytics Intern

Edunet

Jan 2024 - Jan 2024

Built an interactive Power BI dashboard analyzing energy wage trends, cost drivers, and optimization opportunities for stakeholder review. Modeled and integrated multiple data sources using Power Query and DAX to enable real-time, self-service analytics.