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Data Science with less than a year in data analytics, machine learning, and web development.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated and detail-oriented Computer Science graduate with hands-on experience in data analytics, machine learning, and web development. Seeking a challenging opportunity where I can apply my technical skills in Python, MySQL, and data visualization to drive data-driven decisions and contribute to organizational growth. Eager to leverage my internship experience and project expertise in a dynamic, innovative environment while continuously learning and growing as a professional.
Sri Shanmugha College of Engineering and Technology, Pullipalayam
B.E. · Computer Science and Engineering
August 1, 2020 – June 30, 2024
Government Higher Secondary School, Sankari
Higher Secondary
June 1, 2019 – May 31, 2020
Government Higher Secondary School, Sankari
SSLC
June 1, 2017 – May 31, 2018
Shiash Info Solutions Pvt Ltd
Data Analytics Intern
June 1, 2023 – August 1, 2023
India
Real Estate Price Prediction (Web-Based Dashboard)
September 1, 2024 – November 1, 2024
Developed a web-based dashboard to analyse real estate market trends using Python, HTML, CSS, and JavaScript. Built and evaluated machine learning models (Linear Regression, Decision Tree, Random Forest) using Scikit-learn to predict house prices based on location, size, and amenities. Cleaned and transformed large datasets using Pandas and NumPy, handling missing values, outliers, and categorical encoding to ensure data accuracy. Created interactive visualizations using Matplotlib to showcase price distributions, trend analysis, and feature correlations.
Govcompass - Guiding Citizens to Government Services
January 1, 2023 – April 1, 2023
Designed and developed a citizen grievance portal where users can upload images of public issues such as damaged roads or electrical faults to report problems directly. Implemented an automated email notification system that identifies the issue category from the uploaded image and sends an alert to the relevant government official's email. Citizens receive real-time email updates on the status and resolution of their reported issues, ensuring transparency and accountability from government departments. Contributed to frontend (HTML, CSS, JavaScript) and backend development for image handling, issue categorisation, and automated email workflow integration.
Data Analytics with Python
NPTEL
June 1, 2026 – Present
Python Certification
Edureka
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a breadth of interests, from real estate price prediction (data science focus) to a citizen grievance portal (web development with some backend logic). The internship aligns well with the target role of Data Science. The diversity in project types and technologies used (Python, web technologies, BI tools) suggests adaptability and a willingness to explore different domains, which can contribute positively to cultural fit in a dynamic environment. However, the experience level is entry-level, which might require more mentorship.
Soft Skills & Operational Fit
The candidate's career objective highlights motivation, detail-orientation, and eagerness to learn, which are positive indicators for operational fit. Project descriptions suggest an ability to work on end-to-end solutions, from data processing to visualization and deployment. However, without specific psychometric or English test scores, a comprehensive assessment of soft skills and operational fit is limited.