Data Management

SUPRIYA NITIN BACHAL

Contact:+1-906-***-**** Email:*************@*****.***

SUMMARY

Recent graduate with masters in Data Science, recipient of the David House Fellowship. Implementing Agile methodology in data science, possessing great grasping power with a flair for critical thinking, adaptable to fit as a team player as well as a team lead. Seeking full-time opportunities beginning 14th Feb 2018.

SKILLS AND DOMAIN

R, Python, C, C++,Visual Basic, excel, SAS,AWK, SQL, Microsoft Access, Mongo DB, Google API’, Open CV, Microsoft Power BI,Silk/Tableau, Can Analyzer (vector suite) and Basic Hadoop

Machine Learning, Time Series Analysis, Predictive modelling, datamining and human computer Interaction

EXPERIENCE AND PROJECTS

Summer Intern (Field Data Analyst), Xalt Energy LLC, MI. June 2017 – Present

Data GAP analysis for Battery Management system. Web, API scraping and FTP setup for data acquisition. Data cleaning and preprocessing of data. Machine Learning for studying battery behavior and establish warranty conditions. Data wrangling and database management. Designed infrastructure to store data. Cloud data management. Interactive dash boarding using PowerBI. Designed and implemented a fleet management system using VB and MS Access

Team Lead, IT oxygen enterprise/Kyocera Printers CA, USA. August 2016 - December 2016

Predictive modelling to estimate toner usage and analysis of maintenance and optimality of various printer models using R and Excel.

Project Intern (Team Lead), ETDC (Govt of India), MH, India May 2015 - March 2016

Software for Weather and solar forecasting using Predictive Analysis built using Java and SQL. Responsibilities included software development, database management, word processing and project management.

Project Intern, KPIT Technologies, Pune Maharashtra, India May 2014 - February 2015

Intelligent vehicular transport system built using java, google API, SQL used to estimate the time a bus would require getting to a bus stop.

Developed and directed software system testing and validation procedures, programming, and documentation. Modeled and monitored databases using schemas and

Algorithms

Yelp Academic dataset

Analyzed the dataset to gain insight on various business perspectives such as location, popular food Etc. using sentiment analysis and various machine learning algorithms classification.

Thyroid Disease Prediction

Used various linear as well as nonlinear classification methods to identify thyroid disease among Patients.

Academic Projects:

Determination of copper prices using Time Series Analysis,

Analysis of Spotify data to identify one hit wonders and other music trends. Predictive modelling to identify the German credit card fraud.

Developing a model to predict permeability to save resources for a pharmaceutical company, while at the same time more rapidly Identifying molecules that have a sufficient permeability to become a drug.

Establishing Predictive relationship between IR spectrum and fat content, then food scientists could predict a sample’s fat content With IR Instead of using analytical chemistry.

EDUCATION

MS Data Science

Michigan Technological University, Houghton Michigan .Graduated December 2017 GPA:3.3

Bachelor of Engineering in Computer Science

University Of Pune, Pune Maharashtra, India .Graduated in May 2016 With distinction (best class awarded to graduate students)

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