Turned my dreams into my vision and my vision into my reality, Yeah that's me. I belong to a techy community, I live in present and prepare myself for future. I believe in making the impossible, possible because there’s no fun in giving up. I follow a basic rule "You can’t become the best without first being the worst". I’m actually not funny, I’m just really mean but people always think I’m joking. You can explore me more on Instagram, Linkedin, Facebook and Twitter.
As a computer science engineer, I am always curious to know where the data is stored?, how the data is explored? and so many questions. I explored data science field, which created my interest to make my career in Data Science. I started from a scratch, now everyday I explore new things about data science. Data scientist is a role for curious, passionate, judgemental and good presentation skilled candidates. In near future Data Scientist's will be the one high in demand.
For me Football is Life. After completing my work, I generally spend my lot of free time in playing football. I was so interested to play football from my childhood however started to play well when I was 5 years old. My family always supported me to play football, there was a time when my dad didnt have money to buy me football shoes and kits, however my passion for football was enough. I have won many tournaments and also represented my school and college at various sport events.
I am a Certified Web Developer from Duke University. This Portfolio is an example of my Work. I work with new Technologies for Better results.
I provide a complete package of Video-Graphy. Video Shooting via HD cameras & also use of Drones. Editing videos with pure class & perfection.
I am Co-Founder at Engenius- Professional Interview Training & Placement Center. We provide complete package of Interview preparation and Placements opportunities for students.
I like to work on new technologies, Data Science includes Machine Learning, Deep Learning, Bigdata, Cloud etc; I am continuosly learning and collaborating with other enthusiasts.
Just after completing my Bachelors, I took admission for my Masters in Data Science. I learnt a whole Data science domain to intermediate level. I have a very good academic record here as well.
The day had arrived to call myself "ENGINEER". I made a major project on "Suspicious Human Activity Detection" using Deep Learning algorithms. I had a very good academic record & achieved placement in one of the top MNC.
In my second year of engineering, I came to know about "Data Science". I started exploring data science as it was not included in my academic syllabus. I studied programming languages, various IDE, networking and many technologies.
My journey to Computer Science Engineering started. I choosed this field because the future seemed to be digital. The world was growing towards digital technology. I was curious to be a part of this digital world.
I completed my SSC (10th) & HSC education (12th) from Science stream. From school days I was good in mathematics and science which made me to choose the stream. During my college days I decided to go for Engineering.
The project is based on House Prices Prediction in Pune. Dataset and code is provided on my Github. Please give ⭐ to the repository, if it helped you in anyway..
View ProjectThis repository consists IPL-First Innings Score Prediction. Datasets are provided in each of the folders above, and also the solution to the problem statements have been provided. Please give ⭐ to the repository, if it helped you in anyway...
View Project
This repository consists Cat and Dog Image Classification. Datasets are provided in each of the folders above, and also the solution to the problem statements have been provided. Please give ⭐ to the repository, if it helped you in anyway....
View Project
These are my Machine Learning & Deep Learning Project. Datasets are provided in each of the folders
above, and also the solution to the problem statements have been provided.
Algorithms used:
• Linear Regression
• Logistic Regression
• Lasso Regression
• Support Vector Machine Regression/Classification
• Naive Bayes Classification
• Decision Tree Regression/Classification
• Random Forest Regression/Classification
• K-Nearest Neighbours
• K-Means
• Adaptive Boosting (AdaBoost) Algorithm
• Extreme Gradient Boosting (XGBoost) Algorithm & Much more
Please do ⭐ the repository, if it helped you in anyway..
Do Follow me on Github for Future Updates.
