Data Scientist

Nikhil Desai

A/***, Span Valencia, Nikol, Ahmedabad

+91-785*******

*************@*****.***

https://www.linkedin.com/in/nikhil-desai-37637676/ https://www.github.com/Ndesai32

Profile

I am a Data Science enthusiast with having knowledge with programming languages Python. Looking for an opportunity where I can apply my skills and contribute on the real- world projects. I am very Inquisitive, hard-working and consistent towards the work. Technical Skills

Language: Python

Database: MySQL,SQLite

Familiar: HTML, CSS, JavaScript

Tools/Framework: Scikit-learn, OpenCV, flask, streamlit Experience

JANUARY 2019 – JANUARY 2020

Implementation Technician / DTS INC., Brampton, Canada

Build new nodes to feed the services to the subscribers from the headend, which includes coaxial, fiber cable installations. Balanced RF signal at the node so there will be no interruptions.

Inspect, monitor, test and adjust cable transmission and distributions systems.

Repair or replace faulty coaxial or fiber cables, transmitters, receivers and other associated transmission and distribution systems.

AUGUST 2016 – SEPTEMBER 2018

Repair Technician / CTDI INC., Mississauga, Canada

Maintenance and repair of electronics equipment – STB(Satellite Boxes)

Inspecting, observing and detecting different models of electronics satellite boxes and defects and failure through an electronic equipment like Multimeter, Circuit tester, Oscilloscope, etc.

Read and interpret electronics design schematic and PCB layouts to diagnose and locate circuit, components and equipment faults. Issuing Return Material Authorization (RMA) numbers for products to be returned for repair.

Must comply with ESD and 5s policies.

2

Education

AUGUST 2016

Electronics Technician / Sheridan College of Engineering, Canada CGPA – 3.4

JUNE 2014

Electronics & Communication / Ganpat University, Gujarat, India CGPA – 8.2

Projects

1) New York Airbnb Price Prediction

This Project based on New York Airbnb future Price Prediction depending on the variables like area, room availability, etc. I have done feature engineering, Missing Values handling and Visualization of the Categorical features and some numeric features to understand relation of the data. I have predicted price using GradientBoostingRegressor ML algorithm, which has given good accuracy with 61%.

2) Domestic Flight Price Prediction

In This Project I did exploratory data-analysis on the data and see which airline is costlier, depending on the source and destination which city has a high flight-price. I converted categorical features into numerical value using One-Hot-Encoding. After building ML model I did Hypertunning through RandomizedSearchCV and got the best params, which gave me good accuracy in Prediction. At last, I uploaded web-app using flask frame-work on Heroku Cloud Server.

Certificates

Data Scientist with Python from Data Camp

Link: https://www.datacamp.com/statement-of-

accomplishment/track/9a3a8a0f3bc24e5362c12d17f2129df667d9e2d9

Intermediate Python from Data Camp

Link: https://www.datacamp.com/statement-of-

accomplishment/course/7b323ba82e97b9bf59f0fc6a03e6095ce0d26d34?share=true Hobbies

Like to play Cricket, Volleyball

Swimming

Yoga, meditation

Contact this candidate