Akash Bhoite

https://github.com/akashbhoite https://www.linkedin.com/in/akash-bhoite

adgqcn@r.postjobfree.com 57 Grace Street, Jersey City, New Jersey – 07307 Ph: 551-***-**** EDUCATION

Stevens Institute of Technology, School of Systems and Enterprises, Hoboken, NJ. Graduation: May 2021 Master of Engineering in Engineering Management GPA – 3.89 Related Courses: Data science & knowledge discovery, Python for Data Analysis, Marketing Analytics, Artificial Intelligence/Machine Learning, Project Management, Cost Analysis, Natural Language Processing University of Pune (Sinhgad College of Engineering), Pune, India. Graduation: May 2017 Bachelor of Engineering in Mechanical Engineering

SKILLS

Data Analysis: Python (Keras, Scikit learn, Matplotlib, Pandas, Numpy, NLTK, TensorFlow,), R Studio

(Rattle), SQL, Tableau, Gephi, Microsoft Advanced Excel, Microsoft Power BI, Statistics. Software Skills: SAP, Net-Suite, Catia, Creo, Siemens NX, AutoCAD, Pro Engineer, HAP by Carrier. PROJECTS

KPMG Virtual Data Science Internship July 2020 - Present

• Performed Customer Segmentation using RFM Analysis and K-means clustering to find the most valuable customers

• Created an interactive dashboard using Tableau, to showcase key insights about those customers

• Working towards developing a predictive model (XG-Boost) to predict a customers’ next purchase day Stevens Duck BOT May 2020 – July 2020

• Created an AI chatbot to answer FAQs about Stevens Institute of Technology, with a Feed-forward neural network model using NLTK and TensorFlow

• Deployed the chatbot using Flask micro web framework Acute Liver Failure prediction in patients November 2019 – December 2019

• Developed a Machine Learning model to predict ALF in patients, based on various health parameters

• Performed Exploratory Data Analysis (EDA) and feature engineering to eliminate irrelevant features

• Generated a Logistic Regression model using Python (sklearn) with an accuracy of 84% Network analysis of tweets October 2019 – November 2019

• Performed network analysis of 60,000 tweets using Gephi, to determine key topics and their evolution EA Sports FIFA 2019 dream team analysis [Link] November 19 – December 19

• Developed visualizations of players characteristics using plotly and matplotlib libraries in Python

• Performed analysis based on the visualizations to form a team of the top 11 players WORK EXPERIENCE

Kohler Co. Pune, India December 18 – July 19

Approvals Engineer

• Successfully got 4 product lines tested and approved from the U.K government bodies (WRAS & KIWA)

• Consolidated the existing products and materials datasets into a master database using SQL and MS-Excel

• Designed dashboards to showcase key insights in the data using Power BI and Tableau Nottingham Consulting Engineers Dubai, UAE September 2018 – November 2018 Internship – HVAC Analysis

• Carried out energy and cost analysis of on-going projects using HAP, Excel and Tableau Metalcraft Pune, India. August 2017 – July 2018

Graduate Engineer Trainee

• Optimized manufacturing processes and supply chain to minimize rejection and rework

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