PRANAV SHAH

Data Scientist, MS Industrial Engineering

480-***-**** Detroit, MI ac35m3@r.postjobfree.com

www.linkedin.com/in/pranavshah245

SUMMARY

An Industrial Engineer with professional and academic experience in Data Science, seeking opportunities to leverage my knowledge in the field of Data Science, Analytics, and Business Intelligence. EDUCATION

o M.S. Industrial Engineering – Arizona State University, Tempe, USA (GPA 3.5/4.0) - Aug 2015 – May 2017 o B.E. Mechanical Engineering – Mumbai University, Mumbai, India (GPA 3.7/4.0) - Aug 2010 – June 2014 TECHNICAL SKILLS

o Python (PEP 8): loggers, handlers, Pandas, data aggregation, Numpy, SciPy optimize linprog, anneal, Scikit-learn, graphviz, Matplotlib, Seaborn, Shapely, PyMongo, SQL, NLTK (NLP), regex, HDFS, JSON, Geo-JSON. o R Studio: lubridate, reshpe2, plyr, stringr, sqldf, RMYSQL, RMongo, ggplot2, randomForest, forecast. o Machine Learning: Supervised: Linear Regression, Decision Trees, Logistic Regression, Naïve Bayes, Support Vector Machines, Random Forest, K-nearest neighbors, Unsupervised: K-means clustering, Artificial Neural Networks, Other: Natural Language Processing, Imputation for Missing values, Simulated Annealing, Resampling, Dimensionality reduction, Principal Component Analysis, Hypothesis Testing, ANOVA. o Operations Research: Linear, Integer & Stochastic Programming, Markov Chains, AMPL, CPLEX, Gurobi, MIP, Scheduling, Sequencing, Network Optimization, Data Structures, TSP, Vehicle Routing, Non-Linear Programming. o Microsoft Suite: MS Excel (advanced), MS Word, PowerPoint, Access, MS Project, Visio, Visual Basic. o Tools: Tableau, Hadoop, Apache Spark, MongoDB (NoSQL), WEKA, MATLAB, ARENA, MySQL, Minitab, JMP, SAP (ERP), Desmos, Excel Solver, What-If Analysis, Data Analysis Toolkit, Auto-CAD. PROFESSIONAL EXPERIENCE

Data Scientist – Soothsayer Analytics, Livonia, MI, USA - Jul 2017 – Present o Kids Read Now (Non-profit Organization): Predictive Analytics models for the utility of summer reading program on the reading score of Pre-K to fourth-grade kids of the schools in Ohio state. o Data cleaning & pre-processing, feature engineering, data aggregation, merge data-frames, descriptive statistics, data visualization, regular expressions, Tableau dashboards to present the client with business insights. o Agile methodology for Project management, and Burndown charts to execute the scrum units for a sprint. o A total of 75.7% students showed improvement in the Reading score from Fall 2016 to Fall 2017. o Steelcase: Human mobility systems, proof of concept for CogniPoint sensors, & its accuracy statistics prediction. o Dynamics & detect human beings in a meeting room, resource utilization, predict human paths, visualization of human mobility, transform coordinates to a custom axis, spatial & temporal variance. o An average accuracy of 73.8% for spatially accurate human prediction in a room was estimated. o Kaggle: Mathematical optimization problem using simulated annealing for vehicle routing. o Demand forecasting & inventory management for a food processing company. o Sequencing algorithms & scheduling for a car wash company. Graduate Engineer – Voltas Limited, Mumbai, India - Jul 2014 – Jul 2015 Business Development: cost estimations, Procurement: supplier mapping, Design & Planning: Auto-CAD, MS Project o Analysed the key performance indicators (KPIs) & derived metrics for business development in a cross-functional team. o Generated SQL reports mapping suppliers with a location, supplier segmentation with Kraljic matrix, lower lead times. o Estimated costs with MS Excel (Pivot tables/V-Lookups/VBA/Macros) & analyzed the Critical to Quality (CTQ) outputs. o Lean Six Sigma DMAIC tool to streamline delivery by tracking production spreadsheet with project milestone dates. o Project management for planning delivery and installation modules of Chalet Hotels, Mumbai on MS Project. Process Analyst Intern – Reliance Infrastructure Limited, Mumbai, India - Dec 2012 – Jan 2013 o Achieved benefit of 3.4% in the net power usage by Lean Six Sigma for process optimization. o Kaizen continuous improvement to the rotational speed of spindle shaft within 3 Sigma limits. CERTIFICATIONS

Udemy:

o Machine Learning A-ZTM: Python & R in Data Science EDX:

o Querying with Transact-SQL – Microsoft

o Data Science with Python – Microsoft

o Supply Chain Analyst – Micro Masters, Massachusetts Institute of Technology

Coursera:

o Business Metrics for Data Analytics – Duke University o Visualization with Tableau – University of CA, Davis o Supply Chain Management & Strategy – Rutgers

Business School

LinkedIn Learning:

o Statistics & Data Analysis with Excel