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Data Science with less than a year in AI/ML & Data Analytics
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Computer Science graduate specialized in AI/ML Proficient in Python, Django, SQL, Power BI, and Excel, with hands-on project experience. Skilled in delivering data-driven insights and building scalable web applications. Strong collaborator with a proven record of driving measurable results in team environments.
VAAGESWARI COLLEGE OF ENGINEERING
B.TECH CSE (AI ML) · Computer Science (AI ML)
August 1, 2020 – June 30, 2024
SRI SARRADHI PVT
ITI ELECTRICIAN · Electrician
August 1, 2019 – June 30, 2021
SRI GAYATRI JUNIOR COLLEGE
INTERMEDIATE (MPC) · Mathematics, Physics, Chemistry
June 1, 2017 – May 31, 2019
KRISHNAVENI TALENT SCHOOL
SSC
June 1, 2016 – May 31, 2017
AgenticPrompt.tech
Software Engineer Intern (Frontend & Backend)
July 1, 2025 – August 31, 2025
India
Rubix
Data Analyst Intern
December 1, 2024 – April 30, 2025
India
Ava Intern Edutech Pvt. Ltd
AI Project Intern
October 1, 2023 – December 31, 2023
India
Unit Converter (Django)
June 1, 2026 – Present
Developed a Django-based Unit Converter using HTML, CSS, and JavaScript to provide real-time kilometer-mile conversions, improving efficiency by 70%. Designed a responsive, gradient-based UI with clean HTML structure and advanced CSS3 styling to enhance visual appeal, accessibility, and user engagement. Implemented seamless JavaScript logic for parsing inputs, processing conversions, and dynamically updating results, ensuring a smooth and reload-free user experience.
Market Analysis
June 1, 2026 – Present
Evaluated 100,000+ records to identify the top 10% of products contributing to 40% of total sales. Improved reorder strategy accuracy to 92% by analyzing purchase frequency patterns and aisle-level trends. Enabled a 12% reduction in overstocking by aligning inventory levels with customer reorder behavior.
Customer Segmentation
June 1, 2026 – Present
Analyzed transactional data from 10 shopping malls, identifying that females aged 37+ accounted for 28% of total revenue. Segmented customers into behavior-based groups, improving marketing ROI by 15% through targeted campaigns. Discovered that credit card payments led to 35% higher transaction value, optimizing payment strategy decisions.
Medical Data History – SQL Based Analysis
June 1, 2026 – Present
Extracted patient insights from 4+ normalized SQL tables, discovering that obesity-related admissions rose by 22%. Identified dementia and epilepsy as the top two diagnoses, accounting for 35% of total cases. Created a secure password generation system with 100% compliance to patient data privacy protocols.
Certified Data Analyst
Data Mites - Hyderabad
June 1, 2026 – Present
IABAC Certification
IABAC
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's involvement in AI & ML student clubs, technical support, and various college activities indicates a proactive and collaborative mindset. Their diverse project portfolio, ranging from data analysis to web development, shows adaptability and a willingness to learn new technologies. The focus on ethical AI in one internship aligns with responsible innovation. The candidate appears to be a quick learner and team player, which are positive indicators for cultural fit.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, problem-solving, and collaboration skills through their project descriptions and extracurricular activities. Their experience in organizing technical workshops and participating in team sports suggests good teamwork and leadership potential. The ability to present findings and translate technical results into recommendations indicates effective communication. However, the candidate's experience level is entry-level (0 years), which might require more operational guidance in a senior role.