Mohit Vaghela

Atlanta, GA *****

404-***-**** adiueo@r.postjobfree.com

https://www.linkedin.com/in/mohit-vaghela-b14952121/ https://github.com/mohitrv30/ SUMMARY

Data Science graduate with an experience as a Data Scientist in a financial industry & Data Analyst in Digital Marketing. Inquisitive and adaptable to situations help me explore and provide solutions with a growth point of view. Enthusiastic about using Data Science in Social as well as Technological Sector. CORE COMPETENCIES

• Programming Languages – Python, R, C, SQL Modeling, NoSQL, SAS

• Statistical testing methods (chi-squared, t-test, z-test etc.), Machine Learning Modeling (regression, classification, tree methods), Deep Learning Modeling (Neural Networks)

• Advanced Excel Visualization, Tableau, RStudio, NLP PROFESSIONAL EXPERIENCE

Truist Financial Corp. Atlanta, GA

Data Science Intern June 2020 – Present

• Identified credit defaulters for commercial businesses under $2Million using Logistic Regression with a recall of 79%

• Validated the macros used for modeling in SAS

• Analyzed the impact of COVID-19 in ATL region and the factors affecting it by focusing on essential workers & social distancing providing insights as to how the bank can help make customers and staff aware about it

• Explored & analyzed the house price index disparities in the US to help the bank understand the risk buffers it can handle while lending loans by clustering and examining granularly across counties Georgia State University, J. Mack Robinson College of Business Atlanta, GA Research Analyst Aug 2019 – Present

• Spearheaded teams to create a database of publications and determine license agreement between two companies, by scraping from various sources, text mined to convert to numerical features. Achieved 83% accuracy using Logistic Regression

• Identified high potential students to support pathways towards Ph.D. in Humanities and provide funding to them by employing Voting Classifier achieving a recall of 82% Performics.Convonix Mumbai, India

Data Analyst Oct 2018 – July 2019

• Improved the conversion rate of the Shopping Actions of the client’s product to 126% & decreased the cost of advertisement by 30% through price optimization of keywords

• Initiated automated bid strategies to adapt to real-time search auction to eliminate manual bidding

• Conducted Predictive Analysis to forecast sales revenue month-on-month to optimize client’s budget planning PROJECTS

• Box Office Prediction – Predicted movie revenue by implementing Random Forest & achieved a RMSE of 1.584 by analyzing overview text with TF-IDF statistic measuring the uniqueness

• Sentiment Analysis – Helped consumers choose from two best performing health insurances in the US by performing Sentiment Analysis on consumer reviews scraped from different sources and using VADER library

• CT Scan Classification (Transfer Learning) – Multi-class classification of CTSCAN images of patients’ lungs suffering from respiratory diseases. Used model weights of VGG16 Deep ConvNet, achieving 98% accuracy & 80% reduction in training AWARDS

Georgia Tech Hacklytics 2020 – Most Innovative Hack Feb 2020

• Visualized the plastic production & its waste data on Tableau, scraped twitter reviews to observe human concerns on Marine plastic pollution & implemented Blockchain as a solution for plastic pollution EDUCATION

Georgia State University, J. Mack Robinson College of Business Atlanta, GA Master of Science in Data Science & Analytics (GPA: 3.73/4) Dec 2020 Mumbai University, D. J. Sanghvi College of Engineering Mumbai, India Bachelor of Engineering in Electronics (GPA: 3.38/4) Jun 2018

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