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Business Analyst

Location:
New York City, NY
Posted:
March 20, 2020

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Resume:

ADITYA SWAPNESHU BASER

**** ********, ***, *** ****, NY 10027

adcdx6@r.postjobfree.com 646-***-**** LinkedIn

EDUCATION

M.S. in Operations Research, Columbia University, New York, NY Aug 2019 — Dec 2020 Coursework: Data Analytics, Machine Learning, Cloud Computing, Optimization Models, Stochastic Models, Business Analytics Strategy Bachelor’s in Chemical Engineering, Institute of Chemical Technology (ICT), Mumbai Aug 2015 — May 2019 Coursework: Linear Programming, Project Economics, Process Simulation, Industrial Management, Human Resource Management TECHNICAL/ LANGUAGE SKILLS

Programming Languages: Python (Numpy, Pandas, Matplotlib, OLS, Scikit-learn, SciPy, PuLP ), R, SQL (SQLite, MySQL), HTML

Software: AWS (S3, Athena, Glue ETL, Sagemaker, Lambda), Google Compute Engine, Tableau, Django, Aspen HYSYS, Excel, VBA

Machine learning algorithms: Decision trees, Random forest, Regression, K-means clustering, PCA, SVM DATA SCIENCE PROJECTS

Business of Rhythm, Spotify Data Analytics [VIDEO][CODE] Aug 2019 — Dec 2019

Computed feature importance by training a random forest algorithm to identify the most impactful features affecting the skip probability from a dataset containing 60+ features and 160k tracks in Python

Determined whether a song would get skipped or not with an accuracy of 90% by fitting a logistic model with covariates

Predicted which hour of the day the users would have the highest favorability towards Spotify-generated playlist and constructed a recommendation system using K-Nearest Neighbors

Sentiment Analysis on Twitter Tweets [GITHUB] Jan 2020 — March 2020

Conducted sentiment analysis on 1.6 million twitter tweets to flag the emotions as positive, negative or neutral

Scripted a python library for pre-processing of the twitter tweets and ran it as a Glue ETL Job on AWS services

Constructed a continuous deployment pipeline to automate the process by training the data on Amazon Sagemaker and feeding the trained data to AWS Lambda function

Built an application on Django to add, update and track squirrel sightings in Central Park [GITHUB] Nov 2019 — Dec 2019

Used OpenStreetMaps and leaflet libraries in Python to enable a map view that displays the location of all squirrel sightings

Created a framework which can be extended to any type of data to keep a track of different features of a project PROFESSIONAL EXPERIENCE

TechnipFMC, Mumbai, India May 2018 — Jul 2018

Summer Intern – Process and Technology Department

Consulted with a Fortune 500 Oil & Gas client to increase system throughput across petroleum refineries. Created a data model of the system using process simulation software and validated against data acquired from full scale test runs

Maximized system throughput to 170% of its initial capacity by designing auxiliary equipment under specific operation constraints Bharat Petroleum Corporation Limited (BPCL), Mumbai, India May 2017 — Jul 2017 Summer Analyst – Production Unit

Analyzed data from plant equipment including furnaces, heat exchanger and pumps to increase operating efficiencies. Proposed a viable solution to improve efficiency by 30%

Indian Institute of Technology, Bombay (IITB), Mumbai, India May 2016 — Jul 2016 Research Intern – Department of Chemical Engineering

Worked on the conversion of biomass to synthesis gas for cooking application using a downdraft gasifier

Analysed raw materials using Thermogravimetric Analysis (TGA) to compare drying rates of various biomass samples. Performed error analysis on experimental data to get the best fit model and compare kinetic parameters LEADERSHIP & ACTIVITIES

Graduate Student Tutor at Columbia University for courses — Linear Algebra, Calculus II and Intro to Python, Sept 2019 — Present

Director of Relations, TEDxICTMumbai. Led a team of 25 people and organized various campaigns and workshops to promote the brand name of TEDx, November 2017 — Apr 2018 [VIDEO]

Public Relations Head for the college technical festival, Vortex ICT. Led a team of 150 people and facilitated participation of more than 2000 students from over 9 states from India, May 2017 — Oct 2017



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