Welcome to Aakash's Creative Hub! Embark on a journey through the realm of innovation and imagination, where pixels paint stories and code brings dreams to life. I'm Aakash Puthussery, a passionate Software Development with a penchant for crafting immersive digital experiences. Within these virtual walls, you'll discover a curated collection of my finest creations, each a testament to my dedication to pushing boundaries and redefining possibilities. From sleek web designs that captivate the eye to robust applications that streamline processes, every project embodies a fusion of artistry and functionality. As a relentless seeker of excellence, I thrive on challenges and approach each endeavor with unwavering enthusiasm. Whether I'm meticulously fine-tuning a user interface or architecting a scalable solution, my commitment to craftsmanship and innovation remains unwavering. Beyond the lines of code and pixels, I'm driven by a desire to make a meaningful impact. Every project is an opportunity to spark joy, inspire action, and elevate experiences. By leveraging cutting-edge technologies and embracing creative thinking, I aim to leave a lasting impression in the digital landscape. Join me on this adventure as we explore the possibilities of tomorrow, one line of code at a time. Let's collaborate, innovate, and create something extraordinary together. Dive in, and let the journey begin!
I hold a Bachelor's Degree in BCA from Kannur University. Currently am pursuing MCA from Mar Athanesius College Engineering, Kothamangalam. My journey into the world of Computer Science began during my academic years, where I was fascinated by the potential of data-driven decision-making. Over the years, I have honed my skills in , Data Structure and Algorithm, OOPs, DBMS, statistics, machine learning, data visualization, and programming languages like Python, Ruby on Rails, Java.
Download CVI am proficient in a wide array of data science tools and technologies. From data wrangling and
data cleaning to advanced machine learning techniques and model evaluation, I am well-versed
in using various libraries and frameworks.
Additionally, my
expertise extends to creating interactive data visualizations and using cloud computing
platforms to scale data-intensive applications.
Machine learning is an AI subset that allows systems to learn from data, improving performance over time. By recognizing patterns and making predictions, it drives automation and informed decision-making in various fields. Deep learning, a subset of machine learning, utilizes artificial neural networks to process large datasets. It powers advanced applications such as image recognition, natural language processing, and autonomous vehicles
Data visualization tools facilitate the creation of graphical representations, like charts and dashboards, making complex data accessible and actionable. They enable users to uncover insights, trends, and patterns, enhancing data-driven decision-making and effective communication with stakeholders.
Python encompasses sophisticated techniques and libraries for solving complex problems. It involves leveraging data structures, object-oriented programming, decorators, generators, concurrency, and powerful libraries like NumPy, pandas, and scikit-learn to build efficient, scalable, and high-performance applications, making Python a versatile language for diverse domains.
SQL (Structured Query Language) skill involves the ability to efficiently manipulate and manage relational databases. It includes writing queries to retrieve, update, and analyze data, creating and modifying database structures, and optimizing database performance. SQL proficiency is essential for tasks such as data retrieval, data manipulation, database administration, and database development..
”TURF BOOKIN” is on a mission to remove barriers to getting people active. Whether that's finding facilities, booking activities or connecting people in their local area, we want to simplify it all. Software is developed using python. Front end as HTML,XML.JSP & MySQL as Back end in windows xp/7/8/10 platform
Developed and deployed a highly accurate machine learning model using Scikit-learn to predict software developer salaries based on experience level, country, and other 4 relevant factors. This model effectively aids in salary negotiation and decision-making processes for a dataset of over 30,000 employees using machine learning technique
Analyzed a large-scale police data set containing over 60,000 records to gain insights into traffic stops and related factors. Uncovered insights: Speeding violations constituted more than 60% of total violations, with a notable gender disparity as males were twice as likely as females to commit speeding violations.