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Data Science with less than a year in data analysis and machine learning.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Science postgraduate with strong expertise in data analysis, SQL, Python, and Power BI. Experienced in building predictive models, developing dashboards, and delivering actionable insights that improve business decision-making. Skilled in translating complex datasets into clear strategies that enhance operational efficiency and customer experience.
Pondicherry University
M. Tech · Computer Science
August 1, 2022 – June 30, 2024
Aditya Engineering College
B. Tech · CSE
August 1, 2018 – June 30, 2022
Gilbert Research Center
Data Science & Machine Learning Intern
March 1, 2025 – August 1, 2025
India
Dominos - Predictive Purchase Order System
June 1, 2026 – Present
Developed a forecasting model to predict weekly pizza sales and optimize ingredient procurement, reducing waste and improving inventory planning.
RedBus Data Scraping & Analysis
June 1, 2026 – Present
Built a Python Selenium scraper and SQL database to analyze bus routes, schedules, and pricing. Designed a Streamlit app with dynamic filters for real-time customer insights.
DataSpark - Power BI Dashboards
June 1, 2026 – Present
Created interactive dashboards connected to SQL databases, enabling real-time reporting of customer behavior, sales trends, and store performance.
Acoustic Scene Classification (Research)
June 1, 2026 – Present
Designed a CNN-based model achieving 81.97% accuracy on TAU Urban Acoustic Scenes dataset, applying few-shot learning for limited data scenarios.
Python for Data Science
NPTEL (IIT Madras)
June 1, 2026 – Present
Master Data Science Certification
GUVI
June 1, 2026 – Present
Presented research paper at ICETEST-2024 (International Conference on Emerging Trends in Engineering Science & Technology)
ICETEST-2024 (International Conference on Emerging Trends in Engineering Science & Technology)
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from business analytics (Dominos, DataSpark) to data scraping (RedBus) and academic research (Acoustic Scene Classification), indicates a broad interest in data science applications. The internship at Gilbert Research Center further aligns with a research-oriented and analytical work environment. The target role of Data Science is well-aligned with the candidate's skills and project portfolio.
Soft Skills & Operational Fit
The candidate lists communication, problem-solving, team collaboration, and adaptability as soft skills. Project descriptions suggest an ability to translate complex data into actionable insights, which aligns with problem-solving and communication. The academic research project indicates an ability to work independently on complex tasks.