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Data Science with less than a year in Data Analysis & Python
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Assessing your cultural and operational fit
Results-driven MCA graduate (2026) with a strong academic record (CGPA: 8.65) and hands-on experience in data analysis, SQL, data visualization, Python (Pandas, Matplotlib), CSV data processing, and reporting. Adept at collecting, analyzing, and interpreting complex datasets to derive actionable business insights and create meaningful dashboards. Seeking a Data Analyst role at Polluxa to contribute to smarter business decisions through data-driven strategies, accurate reporting, and cross-functional collaboration.
St. Joseph's College of Engineering and Technology, Palai
Master of Computer Applications (MCA)
August 1, 2024 – June 30, 2026
BVM Holy Cross College, Cherpunkal
Bachelor of Computer Applications (BCA)
August 1, 2021 – June 30, 2024
St. Sebastian's HSS
Higher Secondary (Class XII)
June 1, 2021 – May 31, 2021
Stella Maris International Boarding School
Secondary School (Class X)
June 1, 2019 – May 31, 2019
EnvoSafe – AI-Based Environmental Pollution Detection System
January 1, 2026 – Present
Collected, analyzed, and interpreted complex pollution datasets (air, water, soil) from CSV files and public APIs to derive meaningful insights and predict risk levels (low/moderate/high). Performed data analysis and reporting using Pandas; visualized trends and patterns using Matplotlib dashboards - enabling actionable business intelligence for stakeholders. Processed and cleaned large CSV datasets; ensured high standards of data accuracy and quality through preprocessing pipelines. Built mobile interface to display data visualizations and real-time trend reports for cross-functional use.
HRx – Intelligent Human Resource Management System
January 1, 2025 – December 31, 2025
Designed SQL-based reporting modules to track and analyze recruitment metrics, providing actionable data insights for HR business decision-making. Built structured data pipelines and reporting dashboards that improved overall business performance tracking across cross-functional teams. Ensured data integrity and quality across internal systems with structured database management and role-based access control.
Exoplanet Detection with AI – NASA Space Apps Challenge
January 1, 2025 – December 31, 2025
Analyzed large-scale telescope datasets (Kepler, K2, TESS) to identify trends, patterns, and anomalies using supervised ML classification and Matplotlib visualizations. Delivered data-driven insights through visual reports; project recognized as Top 10 nationally – demonstrating strong analytical and problem-solving skills.
Equipment Stock Management System
January 1, 2024 – December 31, 2024
Built a real-time inventory tracking system with reporting modules for data monitoring, accuracy maintenance, and automated low-stock alerts.
Legal Advisor System
January 1, 2024 – December 31, 2024
Developed a data-driven advisory platform with SQL-based querying, reporting APIs, and structured case and user data management.
NASA Space Apps Challenge – Top 10 National Project Submission
NASA
June 1, 2026 – Present
Introduction to Industry 4.0 and Internet of Things
NPTEL
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show a diverse range of applications for data science, from environmental pollution detection to HR management and exoplanet detection. This breadth indicates adaptability and a willingness to apply skills across different domains. The recognition in the NASA Space Apps Challenge highlights initiative and a drive for excellence, which are positive cultural indicators. The target role of Data Science aligns well with the candidate's stated career objective and project experience.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, problem-solving, communication, and attention to detail through project descriptions. Their involvement in team-based academic projects suggests a collaborative work attitude. The focus on data-driven insights and reporting aligns well with operational needs for informed decision-making.