Data analyst

Salman Mohammed

Phone: 682-***-**** LinkedIn: https://www.linkedin.com/in/salman-md/

Email: *******@*****.*** GitHub: https://github.com/sallu93 EDUCATION

• MS, Information systems, University of Texas at Arlington, 2018. GPA: 3.63

• B. Tech, Computer Science and Engineering, SRM University, 2015. TECHNICAL SKILLS

WORK EXPERIENCE

Data Analyst, SABA IGC (Volunteer since Sept 2018) o Manage and analyze YouTube channel data and content using YouTube analytics, Excel, Python and Tableau. o Create weekly, monthly and Ad-hoc channel performance reports. o Help make data-driven decisions to produce, schedule and broadcast video content on channel. o Analyze audience retention data, demographics, viewer trends, etc. to produce targeted content and change content to reflect wants and needs of audience.

PROJECTS

• Business analysis of a supply chain solution provider (Data cleaning, Analysis, Excel, Tableau) o Prepared and analyzed 3 years-worth of sales and revenue data from domestic and international market. o Analyzed international and domestic demand, performance of different product items and performance of Sales team. Performed Yearly and quarterly profit analysis and projected future sales numbers. o Created Informative data visualizations using Tableau and Power BI to communicate useful insights.

• Prediction of house prices in Ames, Iowa (Data preprocessing, Machine learning, WEKA Software) o Analyzed sales price data of houses in Ames, Iowa from 2006-2010 using machine learning software WEKA. o Created experimental design and applied supervised learning to find the best classification model to predict house prices based on attributes describing the property. o Carried out data preprocessing - handling missing values, irrelevant attributes and skewed attributes.

• Social media analysis – Twitter (Text mining, Sentiment analysis, Python) o Collected and analyzed 10,000 tweets about President Trump using text mining in Python. o Performed data preprocessing and data cleansing by separating URLs, punctuations, digits, emoticons and Unicode using HTMLParser, Preprocessor, RegEx modules and, also removed all the irrelevant words. o Performed sentiment analysis on data to understand people’s feelings and opinions about the President by collecting subjectivity and polarity scores.

o Used WordCloud and Topic modelling to find the most common words in the tweets and the trending topics about the President.

• Pokémon Go App analysis (Web scraping, Machine learning, Python) o Collected web data from HTML links (App store and play store web pages) by performing web scraping using BeautifulSoup in Python to extract attributes needed for analysis. o Organized the collected data by constructing a Pandas dataframe in Python to prepare data for exploration. o Explored and visualized the numeric data using matplotlib and seaborn functions in Python. o Built regression models to predict the app’s future ratings using sklearn in Python.

Data Analysis (Python, R) Network Data Analysis (UCINET) SQL

Machine Learning (WEKA,

Python)

Data Visualization (Tableau,

Power BI)

Excel

Statistical Analysis (SPSS, SAS) YouTube Analytics

ETL (ODI)

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