Kousthubhee Krishna Kotte

Data Analyst

Rouen, FR.

About

Highly analytical Data Analyst with nearly 3 years of experience in transforming complex enterprise and product data into actionable insights. Currently pursuing an M.Sc. in Business Analytics from NEOMA Business School, adept at leveraging SQL, Python, Tableau, and Power BI to develop impactful dashboards, inform strategic product decisions, and drive business growth through data-driven recommendations.

Work

NEOMA Incubator

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Product & Data Analytics Trainee

Rouen, Normandy, France

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Summary

Led data-driven analysis and product strategy initiatives, translating user feedback and operational data into actionable insights for feature prioritization and development.

Highlights

Analyzed 240+ user survey responses to diagnose key platform friction points, generating actionable insights that directly shaped feature prioritization.

Defined and delivered a data-driven product roadmap, influencing three core feature decisions and aligning development efforts with strategic objectives.

Built and deployed an AI chatbot on structured FAQ data, successfully reducing repetitive support queries by 30% and improving response times.

Infosys

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Systems Engineer – Analytics Support

Hyderabad, Telangana, India

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Summary

Provided critical analytics support for enterprise systems, developing operational dashboards and conducting root cause analyses to enhance system stability and reporting accuracy for over 5,000 users.

Highlights

Developed Excel-based operational dashboards tracking SLA compliance and ticket trends for 5,000+ users, enabling data-driven prioritization and reducing resolution delays.

Pinpointed recurring incident patterns through comprehensive root cause analysis of system logs, contributing to a measurable reduction in repeat incidents and improved system stability.

Performed rigorous SQL-based validation and consistency checks across RPD migrations, ensuring high reporting accuracy and data integrity across multiple production environments.

ShapeAI

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Data Science Intern

Remote

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Summary

Conducted data analysis and applied statistical validation techniques to large datasets, providing reliable insights and recommendations to stakeholders.

Highlights

Leveraged Python (Pandas, NumPy) to analyze 10,000+ records, uncovering spending patterns and data anomalies that informed final project recommendations.

Applied statistical validation techniques to ensure dataset integrity, improving the reliability of insights presented to stakeholders.

Education

NEOMA Business School

Rouen, Normandy, France
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M.Sc. Business Analytics

Courses

Data Visualisation and Storytelling

Python and R for Business Analytics

Enterprise Data Management

Applied Business Analytics

Osmania University

Hyderabad, Telangana, India
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B.E. Computer Science Engineering

Courses

Data Structures

Algorithms

Database Management Systems

Artificial Intelligence

Data Mining

Machine Learning

Languages

English

French

Telugu

Hindi

Certificates

Accenture Data Analytics & Visualisation Virtual Experience

Accenture

Alteryx Bootcamp

Udemy

AWS Introduction to Generative AI

AWS

Data Analysis with Excel Pivot Tables

365 Financial Analyst

Practical A/B Testing

LinkedIn Learning

Skills

Data & Analytics

SQL, Python (Pandas, NumPy, Scikit-learn), Excel, ETL/ELT, Data Wrangling, Statistical Analysis, Forecasting, A/B Testing.

Business Intelligence

Tableau, Power BI, Dashboard Development, KPI Tracking, Data Storytelling.

Tools & Platforms

Alteryx, KNIME, RapidMiner, Git/GitHub, Jupyter, Supabase.

ML & AI

Predictive Modelling, Classification, Regression, Clustering, Generative AI, AI-Assisted Development.

Business & Interpersonal

Requirements Gathering, Agile, Root Cause Analysis, Analytical Thinking, Attention to Detail, Data-Driven Decision Making.

Projects

Financial Transactions Analysis

Summary

Analyzed over 10,000 financial transactions using Python, Pandas, Plotly, and Matplotlib to identify spending behaviors and credit utilization patterns, providing insights into financial trends.

CKD Prediction Model

Summary

Developed a robust Chronic Kidney Disease (CKD) prediction model using Python, Scikit-learn, and Decision Tree algorithms, achieving high accuracy in identifying disease risk indicators.

AI Workforce Impact Dashboard

Summary

Built a comprehensive Tableau dashboard to quantify AI adoption rates and analyze role displacement across various industries, providing strategic insights for cross-functional stakeholders.

Student Onboarding Platform

Summary

Developed an end-to-end onboarding platform for international students at NEOMA Incubateur, integrating an AI chatbot, data capture, and behavioral tracking to streamline the process.

Kousthubhee Krishna Kotte