Daanish Ahmed Email & Phone Number

I am a data analyst and an aspiring data scientist. Working with data has become a great passion for me, and I wish to use this passion to benefit others. Data analytics has helped many organizations achieve incredible success, and my goal is to contribute towards helping businesses achieve that success.For most of my life, I have enjoyed working with numbers. This translated well to analytics, and thus I began learning to use data analysis software. I am skilled in using SQL, R, Python, SAS Enterprise Miner, Tableau, Watson Analytics, Excel, and MATLAB. I have experience with cleaning data, building predictive models, analyzing data, and proposing business solutions.I graduated from the University of Maryland with a B.S. in physical sciences. Afterwards, I began working for a math tutoring company and have published several educational articles on the company's website. I am now pursuing my M.S. in data analytics at the University of Maryland, University College. I have completed over 20 projects there, many of which are available on my GitHub portfolio.I am self-motivated and have a strong passion for learning. I would love to learn from others and contribute my knowledge of analytics to the workforce. If you have any interest in big data or your company is in need of a data analyst, please feel free to connect with me!

Listed skills include Predictive Analytics, Sas E Miner, R, Text Mining, and 34 others.

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  Graduate Student

  University Of Maryland University College

  Aug 2016 - Present - Adelphi, Maryland

  Develop mastery of data analysis tools to identify problems, prepare datasets for analysis, find important patterns in data, build predictive models, and propose solutionsLead and coordinate teams of up to 3 analysts to manage projects and solve relevant business problems using data mining techniquesProduce innovative solutions across 20 projects by implementing predictive models and visualizations that address shortcomings in current technological approachesProjects:Text Mining Analysis Using R (2018) – implement natural language processing techniques in R to study important terms and word correlations across 29 State of the Union addressesBagging, Boosting, and Random Forests Using SAS Enterprise Miner (2017) – build and compare 5 decision tree variations using bagging, boosting, gradient boosting, and random forest algorithms to analyze vehicle purchase informationTime Series Analysis Using Tableau (2017) – Tableau video presentation involving comparisons of 5 countries’ GDP, life expectancy and child mortality rates over 50-year periodExtract, Transform, and Load (ETL) Using SQL (2017) – group project involving 3 analysts collaborating on ETL process to compile 3 product order spreadsheets into one output file