About Me
Results-driven AI & ML enthusiast with 6 months of experience as a Data Analyst in patent searches and large-scale data analysis.
Skilled in Python, Java, SQL, NumPy, Pandas, Git, and GitHub, with hands on experience in deep learning using convolutional neural networks (CNNs), NLP-based text analysis and autonomous robotics. Leveraged data augmentation, data visualizations, preprocessing, and deployment techniques to build robust solutions.
Work Experience
- Worked in the Engineering Searching department, developing data-centric skills applicable to analytics.
- Conducted patentability searches using strategic queries and technical translation for global patent databases.
- Systematically collected and filtered large technical datasets to identify relevant prior art.
- Analyzed unstructured information, recognized critical patterns, and assessed the novelty of inventions.
- Led a team for the design and analysis of a Go-Kart chassis and components.
- Applied SolidWorks for 3D modeling and ANSYS for FEA, ensuring structural integrity and performance.
- Coordinated project timelines with fabrication teams for accurate manufacturing.
- Developed skills in systematic problem-solving, project management, and detailed engineering analysis.
Skills & Technologies
Programming Languages
Tools & Platforms
Machine Learning & AI
Projects
Data Extraction and NLP Analysis
Developed an automated Python pipeline to scrape articles from URLs, extract clean text, and perform NLP analysis using sentiment dictionaries and readability metrics. The project outputs structured data reflecting sentiment, complexity, and language features for business insights and reporting.
Netflix Movie Dataset Analysis
A Python-based analysis of 9,800+ Netflix movies, revealing genre trends, release peaks, popularity-vote patterns, and shifting dynamics through data cleaning, statistical summaries, and advanced visualizations, highlighting Drama, Comedy, and Action dominance.
AI-Based Flower Classification
Designed and implemented an image classification system using deep learning (CNN) with TensorFlow & Keras, including preprocessing, data augmentation, training, and deployment for real-world image inference.
Autonomous Seed Sowing Machine
Engineered an autonomous robot for precision agriculture, developing the control system in Python on Raspberry Pi. Focused on algorithms, problem-solving, and integrating hardware with software.
Go-Kart Design & Manufacturing
Led the design and production of a competitive Go-Kart for national events, utilizing CAD/CAE for vehicle dynamics and structural integrity optimization.
Education
CGPA: 8.31/10 (First class with distinction)
Percentage: 91.55%