NAGESHWARI S.

Data Science

https://www.opentalent.in/nageshwari-s

Data Science with less than a year in Python & MySQL.

Key Strengths

Academic background in Computer Science and ongoing Master's in Computer Application, providing a foundational understanding of computing principles.
Demonstrated ability in data preprocessing, NLP techniques, and sentiment analysis through the 'Sentiment Analysis for Marketing' project, which aligns with data science fundamentals.
Experience with relational database design and SQL fundamentals, crucial for data handling in many data science roles.
Proficiency in Python for data analysis (NumPy, Pandas), a core skill for data science.
Experience in documenting system architecture and design decisions, indicating good technical communication practices.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's academic projects show a breadth of interest from data analysis and NLP to database systems and mobile application design. While the 'Sentiment Analysis' project directly aligns with a Data Science target role, the other projects (Event Management, Vytalix) demonstrate versatility in software development and database management. The ongoing Master's and PG Diploma indicate a commitment to continuous learning and skill development, which is a positive cultural trait. However, the lack of professional experience means cultural fit in a corporate environment, including teamwork and agile methodologies, is not yet demonstrated.

Soft Skills & Operational Fit

The candidate's project descriptions indicate an ability to work through a full data workflow, from cleaning and preprocessing to analysis and documentation. The 'Vytalix' project highlights an aptitude for specifying requirements, directing AI agents, and verifying implementations, suggesting an organized and detail-oriented approach. The focus on academic projects, however, means real-world operational fit and experience with collaborative development workflows are not explicitly demonstrated.

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About

MCA graduate with hands-on academic experience in Python programming, MySQL database design, and data analysis through projects involving text classification, sentimental analysis, and structured data modeling. Comfortable working through the full data workflow cleaning, preprocessing, classifying, and structuring data and documenting findings clearly. Seeking an entry-level role as a Data Analyst or in related IT/data-handling positions where these analytical and technical foundations can add immediate value.

Top Skills

PythonRelational Database DesignData Preprocessing

Education

Sacred Heart College (Autonomous)

PG Diploma of Cyber Security

August 1, 2025 – June 30, 2026

Sacred Heart College (Autonomous)

Master of Computer Application

August 1, 2024 – June 30, 2026

Quaid-E-Millath Government College for Women (Autonomous), Chennai

UG Diploma of Web Application

August 1, 2020 – June 30, 2023

Quaid-E-Millath Government College for Women (Autonomous), Chennai

Bachelor of Computer Science

August 1, 2020 – June 30, 2023

Bhaktavatsalam Vidyashram, Chennai

High School Leaving Certificate

June 1, 2020 – May 31, 2020

Bhaktavatsalam Vidyashram, Chennai

Secondary School Leaving Certificate

June 1, 2018 – May 31, 2018

Projects

Sentiment Analysis for Marketing

January 1, 2026 – June 1, 2026

Built a sentiment classification pipeline in Python to analyze marketing-related text data. Cleaned and preprocessed raw text data through tokenization and normalization to prepare it for analysis. Applied NLP techniques to classify sentiment and surface patterns within unstructured text. Converted unstructured text data into categorized output to support marketing decision-making.

Vytalix – Health Monitoring Mobile Application

January 1, 2026 – June 1, 2026

Specified the application workflow and database structure for a mobile health-monitoring system based on defined project requirements. Directed AI agents via Google Antigravity, an agentic AI development platform, to implement the application and MySQL database schema from those specifications. Reviewed, tested, and verified agent-generated implementation against project requirements. Authored complete software documentation covering system architecture, data flow, and design decisions.

Event Management System

January 1, 2023 – December 31, 2023

Built a database-driven event management system using Visual Basic with relational database connectivity. Implemented database connectivity for real-time data entry, storage, and retrieval. Maintained accurate event registration records through structured data management.

Key Strengths

Academic background in Computer Science and ongoing Master's in Computer Application, providing a foundational understanding of computing principles.
Demonstrated ability in data preprocessing, NLP techniques, and sentiment analysis through the 'Sentiment Analysis for Marketing' project, which aligns with data science fundamentals.
Experience with relational database design and SQL fundamentals, crucial for data handling in many data science roles.
Proficiency in Python for data analysis (NumPy, Pandas), a core skill for data science.
Experience in documenting system architecture and design decisions, indicating good technical communication practices.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit