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NIKHIL SHETTY

@nikhilshetty

Data Science Intern at Prosperise Fortune LLP

Mumbai, India

Delta ExchangeSt Joseph Engineering College

Entry-level data scientist with a strong foundation in data preprocessing, feature engineering, and model evaluation. Skilled in Python, scikit-learn, and data visualization libraries, adept at utilizing machine learning algorithms to solve real-world problems and drive data-centric decision-making.

Experience

System Engineer Intern

Delta Exchange

Internship•Jun 2023 - Aug 2023

Developed and maintained automation scripts using Python and shell scripting. Integrated API requests to facilitate seamless data exchange. Utilized Redis features to enhance caching, reducing database query times and improving system performance.

Data Science Intern

Prosperise Fortune LLP

Internship•Apr 2023 - May 2023

Independently analyze financial market data to develop options trading strategies, optimizing risk and return for the startup. Implement data collection and preprocessing workflows, ensuring reliable and up-to-date datasets for trading algorithms. Utilize machine learning techniques to create predictive models for option prices and volatility, contributing to the company's trading success.

Data Science Intern

AI Variant

Internship•Dec 2021 - Jun 2022

Responsible for data collection, data cleaning and preparation for model training. Employed various methods such as Accessing APIs and using web scraping tools such as BeautifulSoup. Performed Exploratory Data Analysis for initial data investigation and for selecting features. Responsible for choosing machine learning model based on client requirements.

Education

St Joseph Engineering College

B.E

Electronics and Communication Engineering

Jan 2021

Vivekanand Education Society

Diploma

Electronics and Telecommunication Engineering

Jan 2018

Skills

Python
MySQL
MongoDB
Excel
Git
Technical Analysis
Source control
Functional Testing
scikit-learn
BeautifulSoup
EDA
NLP
Redis
shell scripting
machine learning
data visualization
logistic regression
streamlit