Python, R, Tableau, SQL, Machine Learning, Deep learning

BHAVIN KOTHARI

Hyattsville, MD +1-240-***-**** ******.*******@*************.***.*** LinkedIn GitHub EDUCATION

University of Maryland, Robert Smith School of Business College Park, Maryland, USA Master of Science in Information Systems August 2019 - December 2020 Relevant Courses: Data Mining and Predictive Analysis, Database Management, Python, Decision Analytics, Big Data, Project Management, Advanced Statistics, Computer Simulation, Technology Investment Strategies University of Mumbai, Dwarkadas J. Sanghvi College of Engineering Mumbai, Maharashtra, INDIA Bachelor of Electronics and Telecommunication Engineering May 2015 - May 2019 TECHNICAL SKILLS

Data Analysis and Visualization: Python (NumPy, Pandas, BeautifulSoup, Matplotlib, Sklearn, Plotly), R

(Tidyverse, Ggplot, Dplyr, Caret, Skimr, Lubridate), Machine Learning Algorithms, TensorFlow, PyTorch, Deep Learning, MySQL, MS SQL Server, Tableau, Power BI, Jupyter Notebook, Google Colab

Statistical Software and Tools: Microsoft Excel (Stat Tools, Precision Tree, @Risk, Pivot Tables), Arena, Lucid Chart, MS Access, Git, GitHub

PROJECT EXPERIENCE

R : Predictive Analytics - Machine Learning to Increase Sales Conversions

Cleaned and merged unstructured data consisting of 65 variables and over 200,000 rows; Implemented feature extraction and evaluated their impact on booking rate.

Compared different Machine Learning Models including Random Forests, XGBoost and attained ROC (Area under curve) of about 92%; Recommended high paying properties in different neighborhood to investors in Los Angeles. Deep Learning : PyTorch : OpenCV - Behavioral Cloning for Autonomous Vehicles

Collected driving data using OpenCV on GTA-5, utilized techniques like data augmentation, dimensionality reduction, hyper parameter tuning and dropout to demonstrate Convolutional Neural Network based self-driving.

Demonstrated live end to end model testing over new scenarios with an accuracy of 80%. Python : Linear Regression - Pricing Optimization Analysis

Scraped and integrated Historical Landmarks data consisting of 50,000 data entries and 20 variables (in New York City’s dataset) to find how pricing varies according to Historical buildings.

Predicted price of a listing by implementing Linear Regression and analyzed preference of area and number of rooms; Generated dynamic plots and geomaps on seaborn and plotly.

Conducted text analysis on description and found words which increases customer’s interest and retention. SQL : Tableau - Relational Database Design

Designed and created a SQL Database with over 10 entities and 500 rows for University of Maryland to store and manage electric vehicle’s charging station data using Microsoft SQL Server 2012.

Created files, views, tables, and derived application business rules; Newfound results increased profits by 15%. ArcGIS : Python - Time Series Analysis to Optimize Resource Allocation

Conducted analysis on Time series data considering various factors like class schedule, weather, temperature, and parking policy to predict traffic patterns on campus and visualized it on ArcGIS.

Recommended sustainable solutions to reduce different modes of traffic by 20% throughout campus. System Analysis and Design : Shell Mobile Application - Business Process Analysis

Developed an Information System from scratch, from planning to implementation phase by evaluating technical, economical, and organizational feasibility. Incorporated Waterfall methodology for project plan.

Documented a business report with Context level, Level 0, Level 1 diagrams and implementation and testing plans. LEADERSHIP EXPERIENCE

Trinity, College’s Cultural, Technical and Sports Festival (Event Organizer) Oct 2016 – Mar 2017

Developed presentations for sponsors; Met all milestones and delivered it in a timely manner.

Coordinated event logistics and communication between sponsors and students leading to 20% increase in footfall.

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