Data Scientist/Analyst database administrator

Fayyaz Ahmed Mohammad

+1-520-***-**** • ***************@*****.*** • linkedin.com/in/fayyaz-ahmed-mohammad Summary

● Experienced Data expert proficient in Python, SQL, and R for data manipulation and analysis.

● Expertise in ETL, reporting and visualization tools like Power BI for dashboards, and Excel to present insights effectively.

● Strong experience in DevOps, Waterfall and Agile/Scrum methodologies, adept at conducting diverse analyses including predictive modeling, and experienced in efficiently managing projects utilizing Jira and other relevant tools.

● Experience in ensuring data quality, manipulating and analyzing large multi-dimensional datasets, implementing web analytics tools, and delivering strategic insights for executive-level audiences.

● Experience with databases like MySQL, MongoDB, stored procedures, Oracle databases and Snowflake.

● Prepared data-driven decision-making with an emphasis on organizational performance and quality measurement. EDUCATION

The University of Arizona, Tucson, AZ — Master of Science in Data Science — GPA: 4.00 Dec 2023

● Included in Dean’s list of Distinguished Graduate Scholars for academic excellence throughout the degree.

● Coursework: Data Mining, Data Visualization, Machine Learning, Artificial Intelligence, Neural Networks, SQL/NoSQL. Ramaiah Institute of Technology, Bangalore, IN — Bachelor of Engineering in Computer Science — GPA: 3.26 Jul 2022 Skills

Programming Languages: Python, SQL, R, C++, Java

Reporting Tools: MS Project, MS Office, MS SharePoint Visualization Tools: Tableau, Maven, Power BI, Excel, Matplotlib, ggplot2, Snowflake Web Development: HTML, JavaScript, CSS, Bootstrap CSS Databases: MS SQL, Oracle, MySQL, PostgreSQL, MongoDB Platforms: Google Cloud Platform (GCP), Microsoft Azure, AWS (EC2, S3, RDS), Databricks Methodologies: UML, SDLC, Agile/Scrum, Waterfall

Operating Systems: Windows, Linux, UNIX

Analysis Techniques: Cost/benefit analysis, GAP analysis, Risk Analysis, Impact Analysis, SWOT analysis, Statistical Analysis, Predictive Modelling

Tracking and Other Tools: Jira, Rational Rose, Test Director Relevant Skills: Data Visualization, Diagnostic Analysis, Descriptive Analysis, Data Cleanup, ETL/ELT, Mining, and modeling, Build KPIs and data quality management.

EXPERIENCE

University of Arizona Jan 2024 – Present

Associate NLP Research Assistant Tucson, AZ

● Conducted sentiment analysis on 150+ interviews with Ph.D. scientists using NLP techniques. NLP for Global Academic Research, Applied Natural Language Processing (NLP) techniques to analyze 150+ in-depth interviews with Ph.D. scientists in A.I., astrophysics, and genetics. Led the creation of a structured "questions and responses" database, uncovering insights into the intersection of international politics, beliefs, and academic careers.

● Applied statistical analysis and machine learning models to extract insights and train from sentiment data. Orchestrated a large-scale international research initiative, conducting and recording interviews with scientists across North America, Europe, and Asia. Managed a team, including an undergraduate Research Assistant, to process unstructured interview transcripts, contributing to a database expansion from 150 to over 250 interviews. Freeport-McMoRan Copper & Gold May 2023 – Aug 2023 Data Science Analyst Intern Phoenix, AZ

● Developed, validated, and deployed AI/ML models on large datasets using AzureML to meet specific customer needs.

● Implemented in-depth data analysis on big datasets to extract important patterns and insights using Python, and SQL to achieve 50% efficiency improvement.

● Created interactive dashboards and reports using Power BI to visualize key metrics and communicate findings to stakeholders.

● Implemented advanced SQL querying techniques to extract, alter, debug, and analyze complicated datasets, resulting in intelligent data-driven decisions and actionable insights.

● Collaborated with cross-functional teams to identify business requirements and deliver data-driven solutions that met organizational objectives leading to an improvement of 34% in prediction.

● Utilized Microsoft Azure services to design and implement scalable data solutions, enabling efficient analysis and actionable insights as a Data Scientist and analyst.

● Implemented agile and waterfall techniques to manage and prioritize data analysis projects, guaranteeing timely delivery, adherence to business objectives, and seamless alignment with project requirements.

● Contributed to team meetings and brainstorming sessions to identify opportunities for process improvement and innovation in data analysis methodologies by 20%.

● Used Snowflake for data warehousing and built predictive models using Python after retrieving data using SQL. Schneider Electric Mar 2022 – Jul 2022

Application Engineer Intern Bangalore, India

• Managed application deployments across production servers as part of the devops and administration team, ensuring seamless client interactions and addressing any encountered errors using Outsystems based on user feedback.

● Using Python, studied massive datasets, constructed effective methodologies, and developed various ways that enhanced data-driven decision-making and improved operational efficiency.

● Provided senior data analysts with exploratory data analysis and data visualization solutions utilizing technologies like Tableau and Excel.

● Microsoft SQL Server for executing production queries requested by the clients after validating them with the solutions expert.

● Worked on Oracle Enterprise Manager along with Oracle Data Platform and Oracle Cloud Infrastructure to perform to combine data lakes and data warehouses simultaneously building and training models.

● Designed and implemented ETL workflows in Snowflake using SQL to extract, transform, and load data into data warehouses or data lakes.

● Conducted data cleaning and preprocessing tasks to enhance data quality and reliability for analysis.

● Supported the design and implementation of data governance frameworks to ensure compliance with regulatory requirements.

● Worked along with team members to document and streamline data analysis procedures for future use.

● Presented findings and insights from data analysis projects to internal stakeholders, including executives and department heads.

● Applied Scrum methodology within the Software Development Life Cycle (SDLC) to streamline data analysis processes, foster collaboration, and ensure efficient project delivery as a Data Analyst.

● Participated in team meetings and brainstorming sessions to identify opportunities for process improvement and innovation in data analysis methodologies.

● Derived insights for group-wide and commercial teams to drive actionable insights on key performance indicators.

● Supported in the development process of critical applications, with documentation of monthly reports in Service now.

● Excel data analytics using pivot tables for analyzing trends and identify patterns in the data using critical thinking.

● Documented proposed or modified data interfaces, including fit for data models, data flow timing, data transformation.

● Participated in presentations focused on using analysis to drive new business outcomes for source-to-target mapping. PROJECTS

Cluster Analysis on Spotify Dataset May 2023

● Analyzed a Spotify dataset of over 10,000 data points using Python, performing data normalization, and creating visualizations that led to actionable insights using google analytics. Also used SVM for classification analysis test.

● Applied statistical techniques to analyze large datasets and perform hierarchical clustering., effectively categorizing songs into 3 distinct clusters, and encoded categorical data using Scikit-learn, enhancing model accuracy. Smart Chef Video Analytics: YOLOV3 & ImageAI for Enhanced Dietary Planning Jul 2022

● Led this project for Smart Chef, deploying YOLOV3 and ImageAI leveraging data insights for business application.

● Used GCP cloud storage for database and analytics facilitating recipe recommendations based on doctor prescription.

● Published paper on "Video Analytics–based Ingredient Detection for Smart Chef" in IEEE conference (RTEICT, 2021), achieving 10x faster video analysis using multithreading and GCP servers.

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