Sahil Naik

+1-585-***-**** advett@r.postjobfree.com LinkedIN: www.linkedin.com/in/sahil-naik-80122b216

OBJECTIVE Motivated data science student with experience in statistical analysis and machine learning seeking co-op/internship in data science, data analytics, data engineering and business analytics. EDUCATION

Rochester Institute of Technology (RIT), Rochester, NY Expected May 2024 Master of Science in Data Science (MSDS)

Related Courses: Database Design Implementation, Foundations of Data Science, Software Construction, Non-Relational Database Implementation, Applied Statistics. K. C. College of Engineering and Management Studies and Research June 2018- May 2022 The University of Mumbai, Thane, Maharashtra

Bachelor of Electronics and Telecommunications (EXTC) SKILLS

Programming Languages: Java, Python, R, SQL, XML

Software: Tableau Software, Jupyter Notebook, PostgreSQL, MySQL, MongoDB, Neo4j. WORK EXPERIENCE

Dezignolics Web & Software Company Feb 2021–Mar 2021 Data Science Intern

Mumbai

● Conducted statistical analysis and applied machine learning techniques on multiple datasets such as Titanic, Iris, and Wine Quality using Python.

● Gained experience in data visualization and predictive modeling techniques.

● Co-ordinated in the development of the 911 Emergency Calls project and the USA Housing Price Project, which implemented linear regression model in machine learning to analyze house prices. Internshala Trainings Dec 2021-Jan 2022

Data Analytics Intern

● Developed a basic understanding of statistics and probability concepts required for data science and analytics.

● Collaborated with other interns to collect and sort various data using SQL in relational databases.

● Proposed and executed the “Finance Data Project”, which focused on the exploratory analysis of bank stock prices from 2006 to 2016 during the financial crisis. PROJECTS

Fraud Job Detection, Foundations of Data Science. December 2022

● Implemented the TfidfVectorizer and SGDClassifier to predict whether job postings were real or fake.

● Conducted extensive preprocessing to remove irrelevant data using stop_word.

● Tuned the model for optimal performance and achieved high accuracy. 911 Emergency Calls, Dezignolics Web & Software Company. February 2021

● Analyzed and visualized 911 emergency calls data to determine the most common reasons and accidents.

● Implemented a variety of visualization techniques, including linear plots, bar plots, box plots, and heatmaps, to gain insights from the data.

● Facilitated to the development of linear regression model to predict the number of emergency calls based on factors like date, time, number of days in a week.

● Gained experience in data wrangling, exploratory data analysis, and data visualization using Python and its data science libraries.