Begin with Insights
I am a highly skilled and experienced machine learning engineer with a passion for building innovative and scalable machine learning solutions. I have a strong background in data science, statistics, and programming, and I am proficient in a variety of machine learning algorithms and frameworks.
Age
17
Email
limbadhiren00@gmail.com
Address
Gujarat India.
Work Experience.
Data engineer at Stypix
July 2023 - September 2023
My job responsibility was to clean and preprocess the data using various
techniques, enhancing its quality and readiness for analysis. Additionally, I had the opportunity to
collaborate with a talented team of data scientists and learn from their valuable insights during my
internship at Stypix. This hands-on experience not only improved my data skills but also allowed me to
contribute effectively to real-world projects.
Android Developer at Brainybeam
June 2022
As an Android Developer, I concentrated on developing basic mobile applications while learning
Android development concepts. To give a strong app experience, we created interfaces and integrated
some basic functions.
Played with Data.
SpaceShip Titanic a kaggle competition
Classification Model
For this competition, I worked with a team. I am a leader in the Data Wizard Club, which is
for machine learning beginners to experts from international backgrounds. My submission ranked around
7% out of 2100 competitors. During this experience, I learned about leadership, and as a
leader, my responsibility was to keep each member motivated for the competition.
Adv. House Price prediction a kaggle competition
Regression techniques
There were 50+ numerical and categorical columns. I worked on data cleaning by removing outliers,
imputing missing values, and standardizing the data. I also performed feature engineering by creating
new features from existing features and selecting the most important features using a correlation
matrix. Finally, I tuned the hyperparameters of my machine learning model using a grid search. I
ranked in 24% in the competition.
Emotion Detection a project
NLP Model with flask
This project aims to detect the mood or sentiment of a tweet using natural language processing
techniques. The model used in this project has an accuracy score of 88% and was built as a beginner
level project. additionally i developed a user enterface using flask server.
Supervised Learning.
Diploma Information Technology from Gujarat Technology
University
2021 - persuing
I am pursuing diploma engineering from Government Polytechnic Rajkot, a university in GTU. I
secured a 9.33 CGPI in my 3rd semester. I began my tech journey with this college with true
enthusiasm in the tech field.
SSC from Gujarat Board
May-2020
I completed my SSC with 88%, and I was studying at VP Dhetia School in Gujarat. In that school,
they taught me about self-discipline in life and the importance of completing work on time, which were
valuable lessons I learned.
Send your data
https://twitter.com/templateflip
https://www.facebook.com/templateflip
https://www.instagram.com/templateflip
https://github.com/templateflip