Business Analyst

Siddant Mehta

** *** ***** **, *********, NJ ****4 917-***-**** Email: ********@*****.*** Website: siddantmehta.com EDUCATION AND CERTIFICATIONS

State University of New York at Plattsburgh (AACSB-Accredited) Master of Science in Data Analytics 07/2019 – 05/2020 Bachelor of Science in Supply Chain Management, International Business & Business Administration 08/2015 – 12/2017 Harvard University: CS50 Web Programming with Python and JavaScript Certification 03/2020 –Present SAS® University Edition: SAS Base Programmer Certification 09/2019 – 10/2019 ANALYTICAL PROJECTS

Optimization and Simulation for Mental Health Facilities o Utilizing surveyed data from the Substance Abuse and Mental Health Services Administration to optimize and simulate a model using Python to reduce patient wait time. The model was successfully able to assign patients to treatment facilities and reduce their wait time by 23% through the Poisson process. Teradata University for Academics, Data Challenge Simulation 2020 o Analyzed the Taproot Foundation database to gain meaningful insight in answering administrative questions. Provided analytical recommendations to increase the inflow of project recommendation by 17%. Health Care Analytics

o Utilized the Scientific Registry of Transplant Recipients database to predict and classify patient survival after undergoing the procedure of a liver transplant. Performed Linear Regression, Logistic Regression, Latent Dirichlet Allocation, Quadratic Discriminant Analysis, Neural Networks, Naïve Bayes, and Random Forest models to receive an average accuracy of 70% in classifying and predicting patient survival.

Evaluating the Impact of Social Media on Stock Prices due to Coronavirus Pandemic o Created a database by scraping specific information of Twitter to perform Sentiment Analysis on texts associated with Amazon, The Walt Disney Company and Exxon Mobil Corporation. The research was successfully able to establish an association between stock prices for each company and their twitter sentiments using R Studio. Predicting Baseballs Next All-Star

o Performed quantitative and qualitative analysis to predict America’s next MLB all-star. Utilized Logistic Regression and Random Forest classification to predict our research with 88% model accuracy. Scripting and analysis were conducted using R programming and visuals were generated using Tableau. WORK EXPERIENCE

Strategic Partnership Analyst at GDS GROUP ~ (Manhattan, New York) 10/2018 – 07/2019

• Assisted senior level executives and decision makers implement their key transformation projects effectively.

• Provided manufactures the technology and regulatory developments needed to advance their business.

• Performed specialized research in manufacturing intelligence and databased analytical platforms.

• Supervised client portfolios to enhance their chances of obtaining business by 20%. Account Analyst at MOLD-RITE PLASTICS ~ (Plattsburgh, New York) 02/2017 – 09/2018

• Focused on production planning, supply chain management, marketing, logistics, quality assurance, overseeing manufacturing, finances, and engineering.

• Major contributor on the national business expansion team while maintaining $1,000,000 monthly business.

• Collaborated with Director of International Sales to increase market share while participating in industry trade shows and strategic events. Analyzed sales and production data daily to create fulfillment plans. Manager at SPRINT BY PRODUCT AND DATA CENTER ~ (Brooklyn, New York) 12/2014 – 08/2015

• Worked closely with the CEO to create strategic plan for expansion while analyzing business operations for 16 retail location.

• Managed 2 business locations while generating $100,000 revenues a month. ADDITIONAL

Tax Lien Association: Member and investor in real estate. Preforming analytics for strategic investments in tax lien and deeds Tool Proficiency: R Studio, Python, SQL, Lingo, SAS, Tableau, Power BI, Salesforce, CRM- ERP Powershop, MS Office Suite Analytical Skills: Machine Learning, Predictive Analytics, Regression Analysis, Hypothesis Testing, Deep Learning, Collaborative Filtering, Classification Modelling, Mathematical Modelling, Data Warehousing, Statistical Computing, Data Visualization Volunteer Experience: Firefighter for the Meadowmere Park Fire Department and Mentor for students at Kecskemét College Languages: Fluent in English; Conversational Proficiency in Hindi, Urdu

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