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Sukanya Pujari

@sukanyapujari

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Computer Engineer building scalable, data-driven solutions with Python, SQL, and backend APIs.

India

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What I'm looking for

I’m looking to build scalable, data-driven products—owning backend features, RESTful APIs, and high-impact data work. I want to optimize performance, solve complex problems with Python/SQL, and contribute to teams that value strong analytics and engineering fundamentals.

I’m a Computer Engineer with experience in software development and data analysis, specializing in building scalable and data-driven solutions using Python and SQL. I’ve supported backend development with Java and Spring Boot, designing RESTful APIs and improving API response time by ~20% while enhancing stability and performance by ~15%.

Alongside engineering work, I’ve processed 50k+ records and built dashboards after cleaning and analyzing data for data-driven decision-making. I also developed an NLP-based sentiment analysis model on 12k+ samples, reaching 92% accuracy, and I enjoy turning messy data into reliable insights through strong analytical and engineering principles.

Experience

Work history, roles, and key accomplishments

Current

TCS Project Intern

Current

Tata Consultancy Services

Jan 2026 - Present (6 months)

Developed backend applications using Java and Spring Boot, designing RESTful APIs and improving API response time by ~20%. Managed MS SQL Server databases and resolved production issues, increasing system stability by ~15%.

Java Spring Boot REST APIs MS SQL Server SQL Performance Optimization Git

Research Data Analyst Intern

Binghamton University & Vishwakarma University

Feb 2025 - Jul 2025 (5 months)

Processed and analyzed 50k+ records using Python and SQL to support data-driven decision-making. Performed data cleaning and statistical analysis and built reporting dashboards for insights.

Python SQL Data Cleaning Statistical Analysis Data Analysis Dashboards Data Visualization Problem Solving

Sentiment Analysis Data Intern

Pinnacle Labs

Feb 2025 - Mar 2025 (1 month)

Built an NLP-based sentiment analysis model on 12k+ samples, achieving 92% accuracy. Created Python data preprocessing pipelines that reduced processing time by 40%.

Python NLP Sentiment Analysis Machine Learning data preprocessing Model Training

Market Research Intern

ZweeZle Media

Aug 2023 - Sep 2023 (1 month)

Conducted data-driven market analysis across 20+ brands to support strategic decision-making. Synthesized insights from research data to inform marketing and business recommendations.

Market Research Data Analysis Competitive Analysis Reporting