Professional Summary
Ambitious M.Sc. Mechatronics student with a Bachelor's in Automobile Engineering and a deep interest in AI, Machine Learning, and Deep Learning. Proficient in Python, data analysis, and advanced machine learning techniques. Experienced in integrating technical knowledge with innovative solutions to solve complex engineering challenges. Eager to apply my skills in a cutting-edge, technology-driven environment.
Education
Master of Science in Mechatronics
University of Siegen, Siegen, Germany (October 2022 - Present)
Specializing in automation systems, machine learning, and AI applications. Relevant Coursework: Machine Learning, Robotics, Control Systems.
Bachelor of Technology in Automobile Engineering
Gujarat Technological University, Ahmedabad, India (July 2017 - May 2021)
Focus on mathematics, basic programming, and teamwork through practical projects. Relevant Coursework: Engineering Mathematics, Intro to Programming, Mechanical Design.
Professional Experience
Design Intern
Mechathon Private Limited, Ahmedabad, India (June 2021 - September 2021)
- Engineered over 100 intricate engine parts using SolidWorks and Fusion 360, transforming 2D draft sheets into detailed 3D models and assemblies.
- Mastered industrial drafting, modeling, and Geometric Dimensioning & Tolerancing (GD&T) concepts, significantly enhancing the accuracy and robustness of mechanical designs.
Marketing and Design Member
BAJA SAEINDIA, Mehsana, India (March 2018 - May 2019)
- Spearheaded the procurement, fabrication, and installation of ATV sub-systems, deepening my expertise in automotive engineering and component integration.
- Secured 12th place among 80 teams in the SAE INDIA BAJA2019 Competition, demonstrating exceptional skills in chassis design and optimization under various impact loads.
Projects
Sequence to Sequence (Encoder-Decoder) Model
(May 2024 - Present)
- Conducted research on RNNs, LSTMs, and Encoder-Decoder architectures.
- Created a model to predict temperature and sunspot activity.
- Performed data preprocessing to prepare the dataset for model training.
- Currently refining the model to enhance its predictive capabilities.
Image Denoising Project
(May 2024 - Present)
- Applied Gaussian and salt-and-pepper noise to create noisy image datasets.
- Implemented non-deep learning methods for initial noise reduction and developed a baseline for noisy images.
- Utilized Wiener and BM3D filters for advanced image denoising.
- Prepared a dataset and modified existing models to improve Signal-to-Noise Ratio (SNR) and Peak Signal-to-Noise Ratio (PSNR) of images.
Vehicle Sales Data Analysis
(Feb 2024 - April 2024)
- Conducted a detailed analysis of vehicle sales data to uncover key trends and performance metrics.
- Processed and cleaned a dataset of 10,000+ vehicle sales records.
- Identified a 30% sales peak in July and a 20% dip in December.
- Revealed that the North Region led sales, accounting for 38% of total transactions.
- Determined that SUVs were the most popular vehicle type, comprising 45% of sales.
- Created 20+ visualizations to effectively present findings.
IPL Data Analysis
(June 2022 - August 2022)
- Explored and visualized Indian Premier League (IPL) data to uncover trends in team performance and player statistics.
- Processed and cleaned over 5,000 rows of IPL match and player data.
- Discovered that the top 3 teams won over 60% of their matches, with the leading team achieving a 68% win rate.
- Analyzed player performance, finding the top scorer averaged 55 runs per match.
- Identified that winning the toss increased match win probability by 15%.
- Provided actionable insights for optimizing team strategies.
Four-Wheel Steer System
(August 2020 - March 2021)
- Developed a four-wheel steering system to improve vehicle maneuverability.
- Designed and modeled a complete steering system using SolidWorks.
- Implemented flexible linkages for enhanced steering control.
- Built a semi-functional prototype for testing and validation.
- Improved vehicle maneuverability through innovative design.
Non-Pneumatic Tire Design
(June 2019 - April 2020)
- Created a prototype of a non-pneumatic tire using advanced CAD techniques.
- Designed a unique tire with novel materials in SolidWorks.
- Conducted simulations to validate tire performance under various conditions.
- Developed detailed 2D and 3D CAD models for the prototype.
- Enhanced understanding of material properties and tire dynamics.
SAE BAJA Competition ATV
(March 2018 - May 2019)
- Designed and built an all-terrain vehicle for the SAE BAJA competition.
- Led the design and fabrication of ATV components using CAD.
- Optimized chassis for various impact scenarios, including frontal, rear, and rollover impacts.
- Achieved 12th place out of 80 teams at SAE INDIA BAJA2019.
- Demonstrated teamwork and practical engineering skills in a competitive environment.
Skills
- Programming Languages: Python (Advanced), C++ (Intermediate)
- Data Analysis Tools: Jupyter, NumPy, Pandas, Seaborn, Matplotlib, PyTorch, Torchvision, TensorFlow, Keras, Pillow
- Design Software: SolidWorks, Fusion 360
- Project Management: Microsoft Office Suite (Excel, PowerPoint, Word), Teams
- Languages: English (Fluent), German (Intermediate), Hindi (Native), Gujarati (Native)
Certifications
- Python for Machine Learning with NumPy, Pandas & Matplotlib (Udemy)
- Learn Python - Python Programming for Beginners From Scratch (Udemy)
- Getting Started as a Project Manager (Udemy)
- Data Analysis with Python: Zero to Pandas (Coursera)
- Machine Learning with Python: Zero to GBMs (Coursera)
- Programming for Everybody (Getting Started with Python) (Coursera)
- Certified SOLIDWORKS Associate in Mechanical Design (Coursera)
- Learning SOLIDWORKS: For Students, Engineers, and Designers (Coursera)
- Become a Project Manager (Coursera)
Interests and Hobbies
- Traveling
- Photography
- Music Listening
- Watching Movies
- Online Gaming
- Volunteering