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Data Science with less than a year in Python, SQL & Machine Learning
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Assessing your cultural and operational fit
Results-oriented Data Analyst with a B.Tech in Artificial Intelligence & Machine Learning (CGPA: 8.47) and hands-on experience in Python, SQL, and Excel. Proven ability to build end-to-end data pipelines, clean and transform large datasets, and develop interactive dashboards that drive business decisions. Passionate about turning raw data into actionable insights and eager to contribute analytical expertise to a high-impact technical team.
Vel Tech University
B.Tech · Artificial Intelligence & Machine Learning
August 1, 2021 – June 30, 2025
Sri Chaitanya Junior College
Intermediate · Mathematics, Physics & Chemistry (MPC)
June 1, 2019 – May 31, 2021
The Sun School
10th Standard
June 1, 2018 – May 31, 2019
SQL Data Cleaning - World Layoffs Dataset
November 1, 2025 – January 1, 2026
Performed full ETL-style data cleaning on a 2,000+ record dataset using MySQL, ensuring data quality for downstream analysis. Identified and removed duplicate records using Window Functions (ROW_NUMBER with PARTITION BY), reducing data redundancy by ~15%. Standardised inconsistent naming conventions (company names, industries, country formats) and resolved NULL values using Self-Joins and conditional logic. Outcome: Delivered a clean, analysis-ready dataset directly applicable to real-world business reporting pipelines.
SIGN TALK - Gesture Language Translator
December 1, 2024 – May 1, 2025
Developed a real-time deep learning system to translate Indian Sign Language hand gestures into text and spoken Hindi. Designed and trained a custom CNN model on a self-curated gesture dataset, achieving high recognition accuracy across 26 gesture classes. Built a complete end-to-end pipeline: OpenCV for real-time video capture → YOLO for gesture detection → text-to-speech for audio output. Outcome: Demonstrated as a final-year capstone project; addresses accessibility barriers for the hearing-impaired community.
Fake URL Detection System
January 1, 2024 – December 31, 2024
Designed and deployed an ML-based system to detect phishing and malicious URLs, enhancing cybersecurity for end users. Engineered a feature extraction pipeline using lexical analysis and NLP techniques to derive 30+ distinguishing URL characteristics. Trained, tuned, and benchmarked classification models (Random Forest, SVM, XGBoost), achieving 96%+ accuracy on the test set. Built a real-time scanning interface with Flask, enabling instant detection alerts accessible via a web browser.
Cisco CCNA v7: Introduction to Networks
Cisco Networking Academy
June 1, 2026 – Present
Introduction to Data Analytics
NPTEL / IIT
June 1, 2026 – Present
Data Analytics Job Simulation
Deloitte Australia on Forage
February 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show a diverse application of data science skills, from cybersecurity to accessibility, indicating a broad interest and ability to adapt to different problem domains. Participation in coding clubs and community technology volunteering suggests a collaborative spirit and a desire to contribute beyond individual tasks. The target role of 'Data Science' aligns well with their academic background and project experience, indicating a strong interest in the field.
Soft Skills & Operational Fit
The candidate demonstrates initiative and a proactive approach to learning through certifications and extracurricular activities. Their involvement in hackathons and community projects suggests good collaboration and problem-solving skills under constraints. The focus on real-world applications in projects indicates a practical mindset. However, without professional experience, the operational fit in a senior role is unproven.