Data Scientist

Sagar Singh

*** * *** * • Salt Lake City, UT ****2 • 385-***-****

adhpdd@r.postjobfree.com www.linkedin.com/in/sagarsingh244 https://github.com/Sagar2407 EDUCATION

University of Utah, David Eccles School of Business Salt Lake City, UT Master of Science in Information Science, GPA: 3.97 December 2017

• Awarded Graduate Fellowship of $7,500 based on exceptional merit and leadership potential

• Presented and organized a 4 week “React JS” workshop on meetup.com as a part of TEK club. Maulana Azad National Institute of Technology Bhopal, India Bachelor of Technology in Mechanical Engineering, GPA: 3.9 May 2015

• Top 2% of the batch

CERTIFICATIONS

• Google Analytics • Tableau • Oracle 11g • ITIL v3 foundation TECHNICAL SKILLS

Analytical tools Tableau, OBIEE, VBA, D3 JS, Adobe Analytics, Pentaho, Alteryx, Google Analytics, MS Excel, Sisense Databases Oracle 11g, MongoDB, PostgreSQL, MySQL, MS SQL Server, Redshift Programming Languages Python, R, React JS, Node JS, Git, Java, HTML5, CSS3, PHP, JavaScript, WordPress Area of Interest Predictive modelling, Advance Data Mining, Feature Engineering, Machine Learning, NLP, A/B Testing EXPERIENCE

Clearlink Technologies LLC Salt Lake City, Utah

Data Scientist April 2018 – Present

• Created statistical predictive models to calculate customer lead scoring and deployed it using Airflow data pipeline

• Worked on Geo optimization of Google Ad spend on marketing efforts that saved ~$30,000 with better conversion metrics

• Migrated ETL jobs from CRON to Apache Airflow scheduler, managed job dependency and handled failing jobs

• Developed yearly, quarterly, monthly, sales forecasting models using Prophet, ARIMA, SARIMA, NNETR machine learning algorithms

• Did A/B test on different versions of landing pages and different IVR route with primary KPIs and secondary KPIs

• Increased the outbound calls conversion by 3% by filtering out fewer likelihood calls using propensity model

• Segmented and profiled customers by using K-Means Clustering algorithm and provided actionable insights for better customer experience

• Created an automated script to analyze the health of 650 Sisense dashboards used companywide to rectify problems proactively

• Presented qualitative analysis and advanced modelling to leadership resulting in recommended implementations and action steps Intermountain Healthcare West Valley City, Utah

Data Analyst Intern August 2017- March 2018

• Imported data in Tableau and automated it weekly by integrating it with Alteryx reducing turn-around time by 15%

• Ensured data consistency and quality by handling basic data cleansing and standardization of data elements and did data gap analysis

• Supported the migration of data from heterogeneous sources and different formats to relational data warehouses, staging databases using complex stored procedures and SSIS and created BI reports using SSRS.

• Performed complex, cross-sectional annual regression and correlation statistical analysis for different departments using MS Excel and used forecasting mechanism for revenue and provided senior leadership with the targeted recommendation. Amari Consulting LLC Park City, Utah

Web Analyst Intern May 2017 – July 2017

• Produced business requirement documents and use case stories for a new feature for website that allowed traffic to increase by 12%.

• Provided client reports for the site traffic and conversions using Google Analytics to meet and exceed budgeted goals.

• Used Python for web scraping and analysis of market trends such as Principal Component Analysis Universal Informatics Indore, India

Junior Data Analyst August 2015 – July 2016

• Designed and developed dashboard using Tableau displaying the trend in sales pipeline for daily view

• Leveraged VBA and SQL to streamline analytical reporting processes that decreased the time to run the reports by 30% ACADEMIC PROJECTS

Marketing Analytics Using Python https://goo.gl/iQd6hW

• Investigated and addressed a wide variety of marketing data problems like Customer Segmentation, Fraud detection etc. using machine learning concepts such as Naïve Bayes, Linear Regression, SVM etc. Data Warehouse for Utah Soccer League https://goo.gl/nwMEgy

• Analyzed mission-critical business processes on the data provided from an elite sports organization by implementing snowflake schema for storing and modeling data and performing ETL process using MySQL and Pentaho

• Did OLAP analysis and built dashboards using Pentaho reporting tool and Tableau to find the Most Valuable Player of the league

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