Udit Patel

ac2ntg@r.postjobfree.com

www.linkedin.com/in/udit-patel

https://github.com/udipatel

*** * ********** *****

Bloomington IN - 47408

Phone: +1-773-***-****

EDUCATION

Indiana University, Bloomington, IN Dec 2017

Master of Science, Data Science

Key Courses : Machine Learning with Signal Processing, Applied Machine Learning, Data Mining, Elements of Arti cial Intelligence, Introduction To Statistics, Data Visualization with Tableau Gujarat Technological University, Vadodara, India Jun 2013 Bachelor of Engineering, Information and Technology EXPERIENCE

Intern Data Scientist for Product Delivery and Analytics: Autodesk, CA May 2017 - Aug 2017

Mapped & automated data

ow from a variety of sources including desktop, web, and mobile product feeds & business systems with the help of AWS Athena, Splunk & Oozie

Explored & generated insight from large-scale datasets to address various business problems through leveraging advanced statistical modeling, machine learning & data mining techniques resulting in 75% error resolution

De ned & deployed analytics dashboards with real-time data to monitor key metrics driving business decisions Lead Teaching Assistant -Intro to Python for Data Science: Indiana University Aug 2017- Present

Tutoring & engaging students with statistical and machine learning techniques in Python programming to analyze and interpret complex data. Providing exposure to packages such as sckikit -learn, pandas, matplotlib, etc. Software Engineer (Data Analysis & Web Development): FTA HSRP SOLUTIONS, India Aug2013 - Oct2014

Generated & evaluated MIS reports giving key insights of business metrics to drive management decisions

Data warehousing, cleaning & formation of data pipelines provided fast & appropriate information access

Website development & UI enhancement based on usage pattern data along with maintenance & support PROJECTS

Movielens, Recommendation system Feb 2016

Predicts customer’s rating using k-NN approach with collaborative ltering, distance metrics, numpy multi- dimensional array & cross validation over a dataset with nearly 10 million records

Model Optimization using layers of ensemble methods such as bagging & boosting. Kaggle Walmart Challenge Sales Forecasting May 2016

Exploratory Data Analysis using linear models, centered moving averages, ARIMA to forecast future sales BBC News Article Classi cation Using NLP Dec 2016

Applied TF-IDF to extract features from BBC dataset & built classi ers based on Naive Bayes & SVM algorithms Energy E ciency in Buildings Apr 2017

Applying regression models to predict heating & cooling loads for increasing energy e ciency & reducing power costs

Used SAS for analysis, correlation computation and hypothesis testing Data Analysis & Visualization using Tableau Mar 2016

Data Preprocessing for various data sets from UCI repository such as Auto MPG, IRIS, Online retail, etc.

Developed Tableau dashboards using Cross tabs, Heat maps, Box & Whisker charts, Scatter Plots, Geographic Map, Pie Charts & Bar Charts & Density Chart.

CERTIFICATION

BIG Data Analytics (Spark, Hadoop, MapReduce, Hive, Pig, Hbase, HDFS) - IIHT, SQL Server 2005 - NIIT TECHNICAL SKILLS

Languages Python, R, SQL, MATLAB, JavaScript, PHP

Machine Learning Classi cation, Recommender Systems, NLP, Regression, Neural Network, Clustering, Visualization ML Techniques Ensemble Methods (Bagging & Boosting), Dimensionality Reduction (SVD, PCA) BI Tools Tableau, Looker, Splunk, SAS, Domo

ML Tools Python Packages (Scikit Learn, Pyspark, Matplotlib), Weka, R Packages (pylr, ggplot2, shiny) Statistics Hypothetical testing, A/B testing, ANOVA, Bayesian, Time series Analysis EXTRA-CURRICULAR ACTIVITIES

Represented school and college Basketball team at State level from 2006 to 2012

Member of social welfare organizations such as ’National Association For The Blind’ & ’Nirantvrudasharam’

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