Data Analyst

Priyash Maini

469-***-****; adclo7@r.postjobfree.com; www.linkedin.com/in/priyashmaini

EDUCATION

The University of Texas at Dallas May 2020

M.S. Business Analytics, Dean’s Excellence Scholarship CGPA 3.83 Model Institute of Engineering & Technology, Jammu University June 2015 B.E. Information Technology

CERTIFICATIONS & TECHNICAL SKILLS

Certifications: Stanford Statistical Learner, MapR Certified Hadoop Developer, Python for Data Analysis Programming: Python, PySpark, R for Data Science, SQL Database: Microsoft SQL Server, MongoDB, MySQL,NoSQL Data Analysis Tools: Skills: Tableau 10, Microsoft Excel, Big Data Hadoop, Google Analytics BUSINESS EXPERIENCE

Data Science Intern, FourPoint Energy June 2019 – November 2019

• Migrated data from SQL Server to Azure Data Lake using Apache Spark on a Single Node Hadoop Cluster.

• Scrapped Texas Railroad tax data and communicated actionable strategic insights from it to the senior management.

• Provided actionable insights using Spotfire visualizations into EagleFord data, analyzing competitors drilling patterns.

• Applied Sequential Neural Networks using Keras on AWS to classify prominent companies with 93% accuracy.

• Programmed Machine Learning Regression, boosting models to predict 12 months of oil production in Texas. Business Analyst, CGI Group Inc November 2015 – July 2018

• Determined appropriate data to perform Big Data analysis using Hive and Spark on Client’s log files to identify critical customers and their behaviour.

• Collaborated with business owners and key stakeholders to gather requirements and analyze them for new projects.

• Define KPI’s to build interactive Tableau dashboards to provide actionable insights from customer, financial data.

• Implemented Agile Scrum Methodology for an end to end software life cycle to execute deliverables with SLA.

• Implemented alerts in MS-SQL Server to automate data quality check to improve the integrity and reliability by 25%.

• Applied advanced SQL to generate reports and update them by analyzing new business, functional requirements. RELEVANT PROJECTS More projects at: https://github.com/Priyash25 Relational Data Modelling and Analyzing Supply Vendor Data Using SQL

• Created an end to end conceptual and relational data model for a furniture vendor company and coded in SQL server.

• Analyzed shipping, product, different vendors data using SQL to get insight into the business. Analyzing UN 15 Goals on Tableau

• Build a Tableau dashboard to understand and analyze the progress of different nations towards achieving the Sustainable Development Goals set by the UN filtered by several important indicators. Predict Home Decor Product Success for Pier 1 Imports Inc, 2nd Position Amongst 31 teams

• Cleaned Data using hardcoded Python 3 to convert it to a Data frame as part of UTA analytics case competition

• Performed Sentiment Analysis and achieved an F1-Score of 98% to predict product success rate using Decision Trees.

• Visualized Data in Tableau 10 and found successful products, the effect of online reviews, product attributes, product sentiment, attributes of hot selling products.

Time Series Forecasting on Boston Crime Rate

• Performed EDA and Statistical Test to get information from the data as well as make it stationary for forecasting.

• Programmed ARIMA, SARIMAX and LSTM models to forecast and cut down seasonal patterns. LEADERSHIP EXPERIENCE & ORGANIZATIONS

• Big Data Club, UTD Vice President, Tutor August 2018-Present

• HackDFW Volunteer February 2019

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