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DATA SCIENTIST

SUMIT PATEL

SUMMARY

Data Scientist en practicum constantly observing methodologies and practices to better identify optimized approaches for addressing problems. Using EDA, ETL, ML, Data Viz and AI skills to address problems with data derived solutions. adgouo@r.postjobfree.com

linkedin.com/in/patelsumitm

909-***-****

Los Angeles, CA

EDUCATION

Springboard Winter 2017 to Summer 2018

Data Science Data Science Career Intensive 2018

Got selected for program enrollment from a pool of 1,200 applicants for this professional development program for Data Science based on innovative industry approaches, current methodologies and academic success. The course consisted of 500+ hours of hands on curriculum, with industry expert mentor oversight, completing two deep learning capstone projects, and mastering the following skills: data science, machine learning, Python, SQL, and data visualization. Learned NLP, NLG, Hadoop, Spark, TFIDF, Lemmatization and their uses in processing NL. University of Arizona

B.S. Business Management 2015

University of California, Merced

B.S. Human Biology 2009

Utilized SQL databases and queries

Genomic computational analysis using Python

DATA ANALYTICS, VISUALIZATION AND PREDICTIVE MODELLING: Python, R, Tableau, SQL, Microsoft Excel, AWS, GCS, Pandas, Numpy, SAS, seaborn, matplotlib, xgboost, scikit-learn, SAP

STATISTICAL METHODS AND MACHINE LEARNING: Hypothesis Testing, Regression Modelling, Recommender Systems, Neural Networks, Classification Modelling, Supervised Learning Systems, Unsupervised Learning Systems, NLP, NLG, LightGBM, Tensorflow, PyTorch, keras

AWS: EC2, Lambda, SageMaker, DeepLens, Rekognition, Transcribe, Lex/Polly

SKILLS

PROJECTS

ONLINE RETAIL

Construct a recommendation engine for a unique gifts wholesaler that sells to other online wholesale retailers allowing for the prediction of the rating or preference a user would give to an item

Exploratory data analysis and using surprise package we will build a suitable recommender system for the dataset matching customers to items that they may be more inclined to purchase would likely increase the frequency of purchases per customer and thereby increase revenue for the client Collaborative filtering approaches utilize a user’s past behavior as well as similar decisions made by other users to predict items that the user may also have interests in training and test various recommender systems to find one that is most suitable for this dataset application using surprise Visualized output using Tableau, Python, SAP and SAS for comparison of outputs and suitability. SOCIAL NETWORK ADS

Social network ads are commonly deployed due to their cost effective nature and ease of deployment by use of specific parameters and their predictive probability on purchases Successful campaign the parameters need to correlate to purchases as well as be statistically significant and is important that the ads be deployed more specifically to users that would be more likely to make a purchase than not Through exploratory data analysis we will identify the optimum parameters that impact purchase outcomes and findings from EDA will then be used to build models to see the most optimum fit for ideal results

Visualized data using Tableau, Python, SAP and SAS for comparison of outputs and suitability. VOLUNTEERING

IDEAS · Volunteer Jan. 2018 to May 2019

USC

Discussions of emerging technologies and workshops of innovative ideas to promote advancement in prospective fields and technologies Emerging technologies like third wave cognitive neural architecture were some of the incredible topics covered at the event There is also a presence of industry both emerging and established to solidify the technological necessity CERTIFICATIONS

Advanced Google Analytics · Advanced Google Analytics May 2019 to May 2022 Certification for Google Analytics and industry standards and applications to deploy tools necessary for achieving success. EMPLOYMENT

MONSTER ENERGY BEVERAGE COMPANY Corona, CA

Automation/Pricing Specialist Mar. 2020 to Current Imported data from SQL Server DB, Azure SQL DB to Power BI to generate reports. Created Dax Queries to generated computed columns in Power BI. Generated computed tables in Power BI by using Dax. Involved in creating new stored procedures and optimizing existing queries and stored procedures. Created Azure Blob Storage for Import/Export data to/from .CSV Files. Used Power BI, Power Pivot to develop data analysis prototype, and used Power View and Power Map to visualize reports Published Power BI Reports in the required originations and Made Power BI Dashboards available in Web clients and mobile apps Explore data in a Variety of ways and across multiple visualizations using Power BI Used Power BI Gateways to keep the dashboards and reports up to date. Installed and Configured Enterprise Gateway and Personal Gateway in Power Bi Services. Published reports and dashboards using Power BI.

Conducted QA testing for developing Power Apps and PowerBI Solutions Identified a $150,000 discrepancy that was being overlooked in previous process by implementing Power BI build. AGILE - 1 Rosemead, CA

Project Manager/Analyst (Specialist) Aug. 2019 to Nov. 2019 Lead team and projects concerning testing and evaluation for new hires to properly provision protocols for fair and unbiased testing environment and procedures. Created proctoring protocols and helped push a paperless mode of testing, reducing procedural costs and creating a better environment to conduct and monitor candidates for testing. Perform duties to automate legacy processes relating to testing and candidate selection for hiring/ skills maintenance. Utilized tools such as Python, Power BI, Microsoft Visual Basic, VBS, VBA, and Excel to perform my duties. In each of my variable roles:

Project Analyst 2

Performed benchmark procedures to determine feasible actions to take with respect to the standardized testing process and its implementation. Utilized insights and feedback to create efficiency that reduced excess costs (i.e. paper waste, personnel hours, number of personnel appointed). Reduction of costs from legacy process helped to save company hundreds of thousands of dollars projected going forward since implementation. Observing the data associated with the process and making improvements through the process. Difficulties implementing change in this role included management structure that did not allow for autonomy for implementation of efficient standards reflexively. This allowed me to learn the bureaucratic process within the organization which allowed me to better understand the needs and concerns of the corporate dynamic within the company. Project Manager/Candidate Care Specialist

As a candidate care specialist my role was specific to the experience of the testing candidates and to optimize the process to their convenience as much as possible while maintaining a fair and unbiased environment. Implemented many radical changes that improved the candidate experience allowing for fair and unbiased experiences in standardized testing environments. PFT Anaheim, CA

GIS Analyst Oct. 2010 to Aug. 2018

Experience in urban analytics and/or quantitative approaches to urban design Proficiency in statistical, economic and geospatial analysis Proficiency in database development and management Proficiency in data visualization and presentation Advanced knowledge of Microsoft Excel, ESRI ArcGIS, CityEngine, Rhino and SketchUp software Design Review Processes and Atlanta Urban Design Commission Activities Competency in coding with VBA, CGA and Python

Visualization output performed using SAS, SAP and Power BI IMI PRECISION ENGINEERING Rancho Santa Margarita

Data Analyst/ Team Lead Jan. 2017 to May 2017

Managed a team of 7-10 data analysts to create a database for parts for globalizing all locations Used proprietary programs and technologies to accomplish company needs Primarily used Excel and SQL for ETL process of creating and building data structures Primarily focused on long term establishment of data structures to reduce error-rates and provide a smoother transition that is able to accommodate the company's needs Needed to create majority of the databases from scratch as many items were not included in the existing data but rather in engineering notes Learned how to interpret CAD blueprints and drafts to extract data to complete entry in the new data structures Cross-departmental communications for maintaining efficiency Understanding Engineering drafts

Cross-departmental collaboration and solutions management to meet workflow and lean demands Independently problem solving data requirements based on needs Used Tableau and other visualization tools to communicate data and findings to senior personnel Created data flows and implemented the use of text mining for parts attributes for catalog for creation of a cloud-based inventory for globalization. EXXON MOBIL Green Bay, Wisconsin

Site Operator Sept. 2009 to Aug. 2017

Utilized analytics in Excel to derive business level insights Introduced SQL databases for long-term trends analysis Operated a retail convenience store with gas station and car wash Expanded operations and increased sales volume by $30k to accommodate external pressures of highway construction resulting in only 25% loss of business due to diverted and obstructed traffic routes Understood the dynamic of geography as well as climatic impact on operations Directly competed with chain store operations to gain market presence in a saturated market Utilized base data mining and data visualization techniques to represent market trends and viability

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