Data Science Machine Learning

NASIR SOHAIL SHAIK

DATA ANALYST

+1-443-***-**** *************@*****.*** https://www.linkedin.com/in/nasir-sohail-shaik-683873252 Windsor Mill (21244) Education

EDUCATION University of Maryland Baltimore County Baltimore, MD Master of Professional Studies in Data Science 09/2022 - 05/2024 Master of Professional Studies in Data Science

GPA: 3.77/4

Courses Completed: Big Data Analytics, Financial Data Science, Introduction to Machine Learning, Data Management, Introduction to Data Science, Capstone project in Data Science

SRM Institute of Science and Technology Chennai, India Bachelor of Technology in Computer Science and Engineering Graduated 07/2018 - 05/2022 Bachelor of Technology in Computer Science and Engineering CGPA: 8.99/10

Courses Completed: Database Management Systems, Artificial Intelligence, Data Structures and Algorithms, Database Security and Privacy, Data Mining, Network Design and Management

Skills

Machine Learning Time Series Analysis Statistical analysis and computing Big Data Database Management Data Visualization: Tableau Programming Languages: C++ C Python Postgre SQL R EXCEL Operating Systems: Windows Mac OS Linux PROJECTS

PROJECT 1: Conducted comprehensive crime data analysis for Baltimore using Tableau, Amazon Athena, and Amazon DynamoDB, resulting in a 25% improvement in data accuracy and visualization for city planners. PROJECT 2: Visualized complex crime data from Los Angeles with Tableau, uncovering patterns that informed policy changes and enhanced community safety, resulting in a decrease in property crimes PROJECT 3: Developed a letter classification system using K-Nearest Neighbors (K-NN) and Logistic Regression models, achieving a good accuracy rate

PROJECT 4: Developed a predictive model using logistic regression to estimate the likelihood of monkeypox infection based on patient demographics, symptoms, and exposure history, achieving an accuracy rate of 88%. PROJECT 5: Developed a stock price forecasting model using the ARIMA (Auto Regressive Integrated Moving Average) methodology to predict future stock prices based on historical data.

PROJECT 6: Developed a crime severity prediction model for Los Angeles using machine learning and time series analysis, achieving an 85% accuracy in forecasting crime trends and severity levels. Strengths

Data Visualization Data Analysis Data Cleaning

Database Management Analytical Thinking Time Management www.enhancv.com Powered by

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