Data Analytics Machine Learning

SARATH RAVI

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EDUCATION

Master of Science in Applied Data Analytics - University of Detroit mercy – Detroit, MI Dec 2023

• Concentration: Data Mining, Database Management, Business Intelligence, Quantitative Foundations of Economic Analysis, Statistics (Probability Theory, Hypothesis Testing, Regression analysis, ANOVA) Bachelor of Technology in Information Technology- Anna university – Chennai, TN May 2020

• Concentration: Software Engineering, Artificial Intelligence, Data warehousing and Mining, Computer Programming TECHNICAL SKILLS

Data Analysis & Visualization tools: MS-Excel (VLOOKUP, Pivot), Google sheets, Tableau, Power BI, RStudio, SAS. Database Management Systems: BigQuery, MySQL, SQL Server, IBM DB2, PostgreSQL. Programming Languages: SQL, Python (Pandas, NumPy, Matplotlib, Scikit learn, SciPy), R, HTML, C++. Machine Learning: Numpy, scikit-learn, Pandas, Seaborn, Supervised Learning, Decision Trees, SVM, K-Means Clustering. Mathematics: Regression, Statistics, Probability, p-value, hypothesis testing, ANOVA EXPERIENCE

Teaching and Research Assistant – Detroit, MI March 2024-Present

• Conducted data analysis for diverse projects and studies under professor’s supervision.

• Conducted descriptive and data quality analyses on multiple datasets, synthesizing findings into clear insights to support academic research

• Optimized student projects by crafting a dataset index, amplifying research quality, fostering academic innovation.

• Compiled a comprehensive bibliography of available data science and analytics books, enriching research resources for enhanced learning and insight. Proficiently communicated findings through strong verbal and writing skills. Budget Analyst- TANTRANSCO- Chennai, India. July 2022

• Conducted cost analysis of materials and labor resulting in winning 7 contracts by providing the lowest bid amount.

• Enhanced project productivity through weekly reporting and data mining techniques for informed decision making.

• Collaborated with cross-functional teams to conduct comprehensive analysis, identifying cost-saving opportunities.

• Organized the projects resulted in 10% reduction of project expenditures through informing strategic decisions.

• I identified data sources and worked on extraction/transformation/aggregation of the data. Environment: SQL (Google Cloud - BigQuery), MS Office suite (Excel, Word), Power BI, Google sheets. PROJECTS

Market Basket Analysis – A Data Mining technique - link Aug 2023

• Applied and compared data mining algorithms (FP-Growth and APRIORI) to determine efficiency and accuracy

• Implemented FP-Growth and APRIORI machine learning algorithms using python to extract actionable insights Cyclistic - Capstone project –Google data analytics - link April 2024

• Collected, cleaned, and processed the raw data according to the business problem and stakeholder’s expectations

• Used Google Cloud Platform – BigQuery for data cleaning, aggregating and data manipulation through SQL

• Extracted SQL query results from BigQuery and utilized MS Excel to create data visualizations for in-depth analysis

• Communicated the results and findings of the analysis using MS PowerPoint presentation. CERTIFICATIONS

Google Data Analytics– Authorized by Google & offered through Coursera Jan 2023

• Gained proficiency in analytical thinking, GCP – Big Query cloud data warehouse, advanced querying using SQL, R programming, and real-world business scenarios for data-driven decision-making. NOTE: Employment Authorization Document [EAD] sanctioned and authorized to work for the next three years.

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