Selenium Freelance

Sushant Ramesh Ghorpade

Ph: 551-***-**** ** Franklin st, Jersey City, NJ 07307 ********@*******.*** www.linkedin.com/in/sushantghorpade EDUCATION

Stevens Institute of technology May 2021

Master of Engineering in engineering management GPA 3.76 Graduate Certificate in Data Exploration and Visualization for risk and decision making University of Mumbai July 2014 – May 2018

Bachelor of Engineering, Mechanical Engineering GPA 3.00 PROFESSIONAL EXPERIENCE

Data Science Intern, Katch Media Summer 2020

• Scrapped over 2500 plus scripts with python using BeautifulSoup and Selenium

• Leveraged NLP techniques as POS tagging, name entity recognition, topic modelling etc. to analyze textual content

• Trained sentiment analyzer, module in Katch recommendation engine with accuracy of 0.92

• Collaborated with product team to examine survey data with over 100 plus observation and around 30 features

• Applied statistical methods and unsupervised learning for user segmentation and targeted marketing Freelance Design Consultant, India August 2018 – May 2019

• Delivered around 10 designs to clients as pre business demands

• Researched and drafted 2D, 3D CAD models and used spreadsheets for design optimization

• Conducted weekly meetings with client to reevaluate requirement and product feedbacks

• Coordinated with fabricators and vendors to manufacture and supply high quality product ACADEMIC PROJCTS

Tesla Stock price prediction with RNN Python Google Collab Spring 2021

• Ran exploratory data analysis to measure distribution, correlation between variables and detect outliers

• Applied MinMaxScaler to scale dataset between 0 to 1 and configured it for deep learning

• Trained model using recurrent neural network with accuracy of 0.82 Data Analysis and Machine Learning on IBM’s employee attrition and performance Python Fall 2020

• Perform EDA to draw insights and find relation between variables to measure KPI’s

• Employed SciPy and NumPy to detect and treat outliers and Seaborn and matplotlib for data visualization

• One-hot encoded categorical variables and scaled data between 0 to 1

• Implemented GridSearchCV for parameter tuning and developed classification model with accuracy of 0.86 Data Visualization and Analysis in restaurant business R Spring 2020

• Mined and investigated Zomato dataset with 10,000 plus records and 28 features

• Utilized sentiment analysis on customer reviews and created Wordcloud for most liked dishes

• Extracted latitude, longitude with help of order URL’s and scraped data for Bangalore property prices

• Constructed location prediction model with accuracy 0.87 and created interactive dashboard to display finding Forecast electricity price for residential sector of Arizona JMP Fall 2019

• Fitted model to foresee price for one month ahead applying SARIMA with an accuracy of 0.95

• Inspected for stationary, outliers and other statistical measures for each model before selecting suitable one

• Produced quantitative study summary report with assumptions, findings and reasons for model selection SKILLS

Language: Python, R programming, SQL

Databases: PostgreSQL, MySQL, MongoDB

Tools: Microsoft office, Tableau, Jupyter, RStudio, JMP, Google Analytics, Rattle, KNIME, Gephi, Flexdashboard, esquisse RELEVANT COURSES

Elements of Operation Research, Forecasting and Demand Modeling, Data Science and Knowledge Discovery, Decision Making Via Data Analysis, Economics and Cost Analysis, Database Management and retrieving system LEADERSHIP

Peer Mentor, Stevens Institute of Technology Spring 2020

• Guided 2 master’s students with onboarding to campus and directed mentees with course curriculum

• Conducted bi-weekly Q & A sessions and utilized social media platforms as WhatsApp and Stevens MP for assistance

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