Data scientist

MITI KETAN DESAI

**********@*****.*** www.linkedin.com/in/mitidesai www.github.com/mittidesai 669-***-**** 7650 Mccallum Boulevard Apt 914, Dallas, TX, 75252 EDUCATION:

MS in Computer Science, University of Texas - Dallas, Richardson, TX. August 2017 BE in Information Technology, GTU Gujarat, India. May 2014 TECHNICAL SKILLS:

Big Data Frameworks: Apache Spark, Spark Streaming, Kafka, NLP, Hive, HDFS, Mahout, MapReduce, Storm, Pig Machine Learning Tools & Frameworks: Pandas, Scikit-learn, Spark MLlib, Tensor Flow, Weka Web Technologies: HTML5, CSS3, JavaScript, AngularJS, PHP 5, XML, MVC, Ruby on Rails, RESTful Web Services, JSON Programming languages: Python, Scala, JAVA, C, C++, J2EE, R, C# Databases: MySQL, PostgreSql, SQLite3, HBase, Cassandra, Oracle, MongoDB, AWS Redshift Visualization Tools: PowerBI, Pandas, Seaborn, R-ggplot2, matplotlib, HighCharts, Tableau, QlikView, D3, Kibana Others: Shell/Bash Scripting, Elastic Search, GitHub, Amazon Web Services, Cloudera, SDLC, Bitbucket, Jira, Docker WORK EXPERIENCE

BLUE JAY WIRELESS (Big Data Intern) May 2017 - Present

• Articulate marketing strategies using predictive analysis on social media data

• Forecast Top 10% relevant social media affiliates using supervised machine learning strategies on 5 million tweets

• Leverage NLP sentimental analysis to craft competitor dashboards using Youtube comments on targeted videos BLUE JAY WIRELESS (Software Developer Intern) May 2016 – April 2017

• Automate real-time rendering of KPI metrics by evaluating process workflow

• Architect and model a Data Warehouse to set up its ETL process on Amazon Redshift

• Assemble a BI tool (Sisense) and integrate the data-flow from multiple API’s and databases MEDALLIA – ETECH (Saas Company) (Solution’s Analyst) December 2014 - July 2015

• Improved process efficiencies by understanding existing business processes and effectively applying technology

• Worked with business stakeholders to gather business requirements

• Rendered client success by consolidating customer feedback strategies for a Fortune 100 Financial bank EASTERN TECHNO SOLUTIONS (Intern Software Developer) December 2013 - May 2014

• Implemented Employee Tracking and Project Workflow System using Java Swing ACADEMIC PROJECTS:

Stock Market Prediction using Google Trends and Yahoo Finance Data (Python/R) Predictive analysis comparing results of multiple algorithms like Bayesian statistics, Logistic Regression, etc on stock market volatility, using Semantic Vectors and Google Trends to reflect real-time popularity of search terms through: i) Extraction of ~1 million documents from New York Times API and clustering words using K-means ii) Linear regression modeling to predict volatility of the upcoming week using as input Google Trends data for relevant keywords in the previous week

Sentiment Analysis - US Elections (Java/Scala)

• Streamed twitter data using Kafka pipelines to Elastic Search using Apache spark

• Propagated real time results on Kibana dashboards by performing sentiment analysis on real time data KAGGLE COMPETITIONS

Profile: https://www.kaggle.com/mitidesai Competitions Contributor Leaderboard Rank: (Top 7%) 39/563

Instacart Market-Basket Analysis: Ongoing competition. Aiming to predict which previously purchased products will be in a user’s next order.

Leaderboard Rank: (Top 32%) 2251/7073

Titanic: Machine Learning from Disaster: Applied machine learning algorithms to predict which passengers survived the tragedy.

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