Sri Soury Nori

Phone No: 607-***-**** Email: acvprk@r.postjobfree.com

Address: ** ********, *******, ** ***** LinkedIn : www.linkedin.com/in/sourynori EDUCATION

University at Buffalo, The State University of New York August 2014 – February 2016 Master of Science, Industrial Engineering - CGPA 3.5/4 GITAM University, Vishakhapatnam, INDIA. August 2008 – May 2012 Bachelor of Technology, Mechanical (Manufacturing and Management) Engineering – 1st Class SKILLS AND CERTIFICATIONS

Microsoft BI – SSRS, SSIS, Python, PostgreSQL, R, SAS Proc, SAS SQL, SAS Macros, Spark, PySpark, Scipy, MongoDB, Six Sigma, Lean enterprise, Visio, Predictive modelling, MapReduce, SQLite3, VBA Excel, X++, C#, MINITAB, XML, JSON, Pandas, Inkscape, Linux(Ubuntu) shell command line, ARENA, AutoCad, Pro-E. Microsoft Certified Professional Dynamics AX 2012: Installation and configuration, Development, Trade and Logistics, Financials Certification in Data Science and Machine Learning using Python by Udemy.com; SAS certified Base Programmer for SAS 9 PROFESSIONAL EXPERIENCE

Genscape, Louisville, Kentucky May 2015 – September 2015 Research and Development Scientist/ Data Scientist

Data cleaning and building data frames to avoid noise data generated by errors in electrical transmitters using Python, PostgreSQL.

R&D of multipoint algorithm to track and forecast movement of freight trains and barges across USA and Canada.

Developed clustering algorithms to classify trains originating in different regions.

Performed Time Series analysis on the production rates of crude oil and forecasted the future production rates using R.

Predicted future costs for oil trading and published the reports to futures traders using Python, PostgreSQL and SSRS.

Developed an alerting tool using time series modelling to monitor the radio units of failure and data visualize it to the management.

Research and analysis of potential rail terminals to track the Oil movements across the country.

Automate the process of data extraction and storage in the database from excel files created manually by resources using Python.

Created functional and technical documents which is stored in the technical knowledge base for report development and analysis.

Tools: Python, PostgreSQL, SSRS – data visualization, R for Statistical modelling, GIS, Google Fusion Tables Accenture, Hyderabad, India May 2012- July2014

Software Engineering Analyst

Analysis and design of custom solution for Supply Chain retail clients using the ERP solution Dynamics AX.

Headed a 7 member team to design and develop 70 reports by analysis of massive datasets using SSRS for data visualization.

Actively involved in creating Custom Reports by understanding the senior level Management's need to support in business.

Designed and implemented Parameterized and Cascading Parameterized reports for data visualization using SSRS.

Created and tested SSIS packages for Dynamic ETL flow to validate, extract, transform and load data into database.

Extracted data from the flat files of Youtube, Spotify, Soundcloud, iTunes, Google Play Music, etc and loaded to the Microsoft SQL server for further analysis.

Provided end-to-end business solution for the utilities industry using MECOMS-Ferranti a recommended solution for Energy and Utility vertical and certified for Dynamics AX.

Performed demand forecasting for the power industries by extracting data from the SQL server using Python.

Created Functional and Technical documents for more than 70 reports by gathering requirements from the client.

Integral Part of Development, regression testing, and UAT till the project has reached “Go-Live”.

Tools: SQL Server Reporting Services (SSRS), X++, SSIS, Python, C#, .NET. ACADEMIC PROJECTS

Analyzing and predicting the incident (accident) frequency on I-190 expressway. Fall 2015

Created statistical model to predict the future incidents by studying the various weather factors and real time data provided by city of Buffalo.

Performed Negative Binomial Regression to determine the statistically significant factors responsible for the accidents on the expressway.

Used Time Series analysis to determine the seasonality trends in the accident rates and forecasted the future accident rates to help the city officials take appropriate measures.

Tools: Regression analysis, ARIMA and SARIMA in R, Excel. Project : www.goo.gl/eAWtAl Analysis of weather forecasts, Handwriting Recognition, Data Visualization of US counties Spring 2015

Analysis of weather forecasts in the city of Buffalo over a period of four months. A comparative study. Created a Python script to extract data from the saved html files of www.weather.com over a period of four months and analyzed the weather behavior with respect to the forecasts determined. Used d3 data visualization tool in Python for representation. Prepared Q-Q plots to determine accuracy of the forecasts.

Recognizing hand written characters using the Pocket Perceptron algorithm. With the help of hand writing scalar and vector tools, have developed an algorithm to train the system by recognizing the hand written alphabets and eventually recognize new characters written. Have created data frames using Python Pandas by using K means clustering.

Visual representation of unemployment rate, median of highest incomes and amount of sales tax collected per county. Extracted data from Excel sheets acquired from government census and used Python Pandas to derive the statistics. The data visualization is done using lxml package and scalar vector graphics for choropleth mapping of USA.

Tools: Python, Hex color mapping, MapReduce, SQL data mining, HTML web page scraping. Project : www.goo.gl/iXAwZU Design and Analysis of Experiments Fall 2014

Determined significant factors using hypothesis testing, linear regression, predictive analysis and 2^x factorial designs.

Used Pareto charts to determine the standardized effects of the different factors.

Finding out the interaction effects each and every factor of the clinical experiment to gain the final factors for linear regression.

Tools: 2^ (15-11) 3rd resolution factorial design using MINITAB Develop financial model and optimize cost incurred in a facility. Fall 2014

Optimizing cost for material flow in a facility by formulating linear programming objective functions.

Tools used: Simulated annealing algorithm for Quadratic assignment problem using VBA EXCEL. Project: www.goo.gl/B3vhnS Lean Six Sigma Implementation – Goodwill Industries, Western New York, Buffalo Fall 2014

Worked with 9 other team members to fill existing gap between demand and supply using demand and consumer trends as input

Performed regression analysis to find out the statistically significant factors responsible for improvement of annual sales using SAS.

Tools: SAS Proc, SAS Reports, Why-Why, SWOT, Process Mapping, Cause and effect diagram, Customer survey, Value chain map, FMEA.

Analyzing Social network data using NodeXL and UCINET Spring 2015

Extracted data from Facebook, Youtube and Twitter and analyzed the edge weights, Degree centrality, Betweenness centrality, Eigen vector centrality, Cluster Indexes of edges and vertices of ego centric and non - ego centric networks.

Used Python twitter package to extract the tweets data from Twitter and have performed sentimental analysis to know the consumer trends for a given brand.

CO-CURRICULARS

Vice President – Graduate Indian Student Association (GISA) – SUNY BUFFALO February 2015 – October 2015 Joint Secretary – Society for Automotive Engineers (SAE) – GITAM University August 2009 – March 2010

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