Oliver Macarius
Software EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Software Engineer with less than a year in Full-Stack Development & Data Analytics
Final-year Computer Science undergraduate at Sathyabama University with 2 internships delivering production-grade backend APIs and full-stack web applications. Proficient across the software development lifecycle, from database schema design and RESTful API development in Python to component-driven frontend engineering in React.js. Experienced with data analytics workflows using Pandas, SQL, and Scikit-learn, and comfortable deploying services on AWS. Holds certifications from Google Cloud, IBM, Cisco, and NPTEL (IIT). Seeking roles as Software Developer, Full-Stack Engineer, or Data Analyst to contribute immediately while deepening expertise in scalable systems and applied ML.
Sathyabama University
Bachelor of Engineering · Computer Science
August 1, 2022 – Present
New Prince Mat. Hr. Sec. School
12th Standard · Computer Science
June 1, 2022 – May 31, 2022
H.E.A.R Pvt. Ltd.
Backend Developer Intern
June 1, 2025 – August 1, 2025
Chennai, Tamil Nadu, India
Cognifyz Technologies
Web Developer Intern
December 1, 2024 – January 1, 2025
India
HSR Motors Lead Management System
June 1, 2026 – Present
Built a lead tracking and CRM-style dashboard for an automotive dealership using React.js, enabling sales staff to log, update, and filter leads through an intuitive responsive UI. Implemented data tables with sorting, search, and pagination across 500+ leads, reducing lookup time and removing reliance on manual spreadsheets.
Academic Performance Analytics Platform
June 1, 2026 – Present
Built an end-to-end predictive analytics platform to model and forecast learner performance, ingesting datasets from MS SQL Server and exposing results via a Flask REST API. Implemented an automated ETL pipeline using Pandas and SQL stored procedures to clean, normalize, and feature-engineer academic records, cutting manual prep effort by 60%. Trained and benchmarked Random Forest, Logistic Regression, and Linear Regression models in Scikit-learn, achieving 87% prediction accuracy on held-out test data. Created Matplotlib and Seaborn dashboards highlighting cohort trends and at-risk student segments for data-driven interventions.
Job Application Tracker & Analytics Dashboard
June 1, 2026 – Present
Developed a full-stack platform to track job applications, interview stages, and outcomes, with a responsive React.js frontend and RESTful Flask backend. Designed a normalized PostgreSQL schema and implemented analytics endpoints using Pandas to compute conversion rates, response times, and company-wise success metrics. Built interactive charts and filters that help users identify the most effective roles, locations, and companies, enabling a data-driven job search strategy.
AI-Driven Voice Assistant for Power BI & MS Excel
June 1, 2026 – Present
Developed an NLP-powered voice command interface that converts natural language into Power BI DAX queries and Excel automation routines for hands-free data analysis. Integrated Google Speech Recognition API with a spaCy-based intent parser, achieving 91% command recognition accuracy on 200+ business analytics prompts. Automated Excel report generation via openpyxl and win32com, reducing routine reporting time by an estimated 40% for repetitive data tasks.
Python for Data Science
NPTEL / IIT
June 1, 2026 – Present
Introduction to Generative AI
Google Cloud
June 1, 2026 – Present
Data Analytics Essentials
Cisco Networking Academy
June 1, 2026 – Present
Data Science & Analytics
HP Life
June 1, 2026 – Present
Data Visualization with R
IBM
June 1, 2026 – Present
Conference Certificate 2026 Fourth International Conference on Augmented Intelligence and Sustainable Systems (ICAISS), IEEE, for the paper AI-Driven Voice Assistant for Excel and Power BI.
ICAISS, IEEE
January 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from full-stack web development to AI-driven analytics and automation, indicates a broad interest in technology and a willingness to explore different domains. Their academic background and multiple certifications, including a published paper, show a strong drive for continuous learning and self-improvement. This aligns well with a culture that values innovation, growth, and technical curiosity. The candidate's experience in both personal and academic projects, alongside internships, suggests adaptability and a proactive approach to skill development.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through project work, such as optimizing data processing and reducing error rates. Their experience in collaborative environments (internships) and participation in Agile ceremonies suggests good teamwork and operational fit. The ability to deliver responsive web applications and integrate third-party APIs with robust error handling indicates attention to detail and reliability.