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Data Science with less than a year in Python, SQL & 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
Aspiring Data Scientist with a strong foundation in Artificial Intelligence and Machine Learning, complemented by proficiency in Python programming. Demonstrated experience in data analysis, model building, and applying machine learning techniques to address real-world challenges. Highly motivated and a quick learner, committed to driving data-driven decision-making and enhancing intelligent systems through innovative solutions. Passionate about leveraging analytical skills to uncover insights and contribute effectively to team objectives.
St'Marys Higher Secondary school
Bio-Maths
January 1, 2021 – January 1, 2022
Solamalai College of Engineering
BE · Computer science
January 1, 2021 – May 1, 2026
Ambika Matric Higher Secondary School
10-th
July 1, 2020 – April 1, 2021
Infosys Springboard
Internship 6.0 (Data Analytics)
December 1, 2025 – March 1, 2026
India
Phoenix Softech
Data Science Internship
June 1, 2025 – July 1, 2025
Madurai, Tamil Nadu, India
Customer Support Ticket Analysis & Dashboard
June 23, 2026 – Present
This project focuses on analyzing customer support ticket data to evaluate service performance and efficiency. The dataset was cleaned and processed using Python and SQL to extract meaningful insights. Key metrics such as response time, resolution time, and customer satisfaction were analyzed. An interactive dashboard was developed using Power BI to visualize trends and performance indicators. The insights help improve decision-making, reduce delays, and enhance overall customer support quality.
ETL Data Pipeline – Retail Store Sales Analysis
June 23, 2026 – Present
Built an end-to-end ETL (Extract, Transform, Load) pipeline on a retail store sales dataset. Extracted raw data from CSV using Pandas, performed data cleaning by handling missing values through mean imputation, removed duplicate records, and applied Label Encoding on categorical features. Engineered a custom spend classification feature to categorize transactions as high or low value. Loaded the processed data into multiple targets including CSV, Excel, and a SQLite database, with verification queries to confirm data integrity. Built an end-to-end ETL pipeline on retail sales data cleaned missing values, applied label encoding, and loaded transformed data into SQLite, CSV, and Excel targets.
Java software Developer
IBM Infosys Foundation program
March 1, 2026 – Present
Cyber Security
IBM SkillsBulid
March 1, 2026 – Present
Data virtualization
infosys company
February 1, 2026 – Present
Data Science
Elysium Institution
December 1, 2025 – Present
Data Analytics
Novitech Company
March 1, 2025 – Present
Cultural Fit Analysis
The candidate shows a strong interest in the Data Science field, aligning well with the target role. The academic projects and internships demonstrate a proactive learning attitude and a willingness to apply theoretical knowledge to practical scenarios. The breadth of certifications, including Data Science, Data Analytics, and Data Virtualization, indicates a continuous learning mindset. However, the experience is primarily academic and internship-based, which might require more mentorship and integration into a professional team culture.
Soft Skills & Operational Fit
The candidate's resume highlights a commitment to data-driven decision-making and a passion for leveraging analytical skills, suggesting a good fit for roles requiring analytical thinking and problem-solving. The academic projects demonstrate an ability to work through structured problems from data extraction to visualization. However, the resume does not provide explicit examples of teamwork, leadership, or communication in a professional setting beyond project descriptions, making it difficult to fully assess operational fit and soft skills.