ABOUT ME

I'm a student at Sinhgad Institues of Technology, Lonavala currently I'm pursuing my Bachelor's in the branch of Information Technology and I'm in the 3^rd Year of my course. My mind engages quit well in coding and problem solving activities, I feel that Coding trains the mind to look at aspects with a more logical perspective

SKILLS

• Technical Skills

  I have a quite strong foundation in HTML CSS JavaScript, good understanding of Data Structures & Algorithms in Java language. I also have hands on experience in Python Programming, MySQL Datatbase Management, and the can operate efficiently in Linux environments. I have good knowlege of UI that help me create visually appealing websites. Lately I have been working on Machine Learning projects, also I'm currently pursuing a course for better understanding of this domain.

• Soft Skills

  I have Good Communication Skills and I'm fluent with English and Hindi languages, along with this, I am Confident and able to place Clear Expression of Ideas, either it be an One-to-OneConversation, Team Collaboration or a Stage Presentation. I have a habit of putting tasks into time-slots, this helps me in better Time Management. I can Take Initiatives in Leading Projects when necessary, Motivate, Cheer-Up and Help Team Members. When it comes to interacting with people, I have a Positive Attitude and Understanding Nature.

WeatherWise

This is a project wherein the users can enter the name of any place of their choice, and can view the temperature, humidity and climate of that place. This is done by the use of an API ( Application Programming Interface ) called weather-api. After working on this project, APIs in my understanding, are a helping-hand from huge database owning organizations to websites which cannot collect & store thisamount of data, but do need such data for their operations. API also provides a layer of security for the data & database of the provider organization.

MarketVision

This is a Machine Learning project to predict the fututre trends in the Tesla stock, here we initially import a dataset, reduce the size of the dataset such that we don't have to deal with unnecessary data. Next is, we handle null values by either completely removing such records or replacing these values with valid values. Now is the step, where we actually start to move towards calculaions & derivations. We interpret the current dataset and try to interpret some information from it, in this phase there can also be addition of some columns which seem to be of use to find some trend/pattern and then use these trends for the prediction of next ones.

Books

I love reading books, they are the best companions to have. Books include life-long learnings of a person, and We as readers can live so many lives ! Isn't that great ! I have read books like, Rich Dad Poor Dad, Zero to One, Richest Man in Babylon, Who Moved My Cheese, The 5 AM Club and many more...

Movies

Avengers is a big treat to my eyes, the thrill, suspense and bites of fun completely occupy my mind. Next in the list is Harry Potter, though the casting is of 2000s, its still a mesmerizing series for me. Broadly, I prefer movies with suspense, thrill and humour. I don't very often watch cinema, but completely engage in the storyline everytime I watch one.

Stocks

The markets got me captivated during the COVID-19 pandemic. Since then I have been studying about their trends and patterns. I gained knowledge of Technical Analysis along with reading books like Steve Nison's: Japanese Candlesticks, Vishal & Meghana Malkan's: #Cashtags and ADXellence. I am eager to develop technologies that can predict future trends of individual stocks.