Data Science

Pratyush Jha

214-***-****; ***.************@*****.***

SUMMARY

• Graduate student at UTDallas with almost 5 years of professional experience in data analysis, product development, product technical support, automating processes and client management.

• Excellent mathematical and logical skills, interpersonal and communication skills. Ability to adapt quickly to evolving technologies and work independently as well as in a team environment. Experienced in interacting with stakeholders. EDUCATION

The University of Texas at Dallas, USA August 2016 - May 2018 Master of Science, Information Technology and Management Related coursework: Business Analytics with SAS, Web Analytics, Data Visualization, Business Data Warehousing Dhirubhai Ambani Institute of Information and Communication, India August 2008 - May 2012 Bachelor of Technology, Information and Communication Technology TECHNICAL SKILLS

• Core Domain Expertise: Data Science, Data Engineering, Data Analysis, Product Development, Product Support, Data visualization, Artificial Intelligence, Machine Learning, Deep Learning, Anomaly Detection, Prediction, Business Strategy, Forecasting, Financial Decision Making, Statistical Analysis and interpretation of data, Business Development, and Project management.

• Programming and Technical Skills: Python, R programming, Core Java, Javascript, XML, HTML5, CSS, Angular JS, JQuery, SVN, GIT, C++, Jenkins, Python, D3, JSP, Servlets, Scala, PySpark, Scala-Spark, SQL, Tableau, Microsoft SQL Server, MySQL, H2, PostgreSQL, Oracle, MS Word, MS Excel, MS PowerPoint, Google AdWords, Google Analytics. Basic understanding of Hadoop, NoSQL.

• Data Science skills: Statistical analysis, Tensor Flow, Spark ML, Data Modelling, Model Training, Model Optimization, Hyperparameter tuning, Feature Engineering, Symbolic Aggregate Approximation, Data Visualization, Descriptive Analytics, Predictive modeling, Prescriptive Analytics, Cognitive Predictive Maintenance, Regression Methods, Decision Tree, Neural Networks, Clustering methods for outlier analysis, Risk Minimization, Profit optimization and Quantitative Analytics EXPERIENCE

Dryden Group, Dallas, USA June 2017 - December 2017 Data Analyst Intern

• Performed data analysis on customer purchase history data using SAS to analyze and predict the purchase behavior of customers and demonstrate valuable insights in the form of reports and charts.

• Used Google Analytics to run campaigns aimed at increasing online traffic for client websites. Monitored KPIs like Click-Through-Rate, User Engagement, Frequency and Recency, Bounce-Rate which led to 20-40% increase in online traffic for each client.

• Performed market segmentation and used SAS to predict potential customer leads based on location, demographics etc. Tyto Software Pvt. Ltd., Bangalore, India September 2012 - June 2016 Senior Software Engineer

• Lead the product development team to build new features and frameworks around our product.

• Performed data analysis of online traffic on our website using Google Analytics and prepared reports and actionable insights for the higher management, thereby increasing the traffic by around 20%.

• Worked with Google Adwords and devised strategy for online ads thereby increasing online sales by around 30% in 1 year.

• Automated build processes for product release reducing man-hours spent on release activities significantly by around 90%.

• Developed Excel based framework that allowed testers to write their test cases in Excel. Writing tests in the business language allowed all stake holders to participate and derive value out of the automation testing process.

• Conducted trainings with our top 4 clients and convinced them to use our automation product site wide and hence increased our sales in those companies by around 10 times.

• Developed the Sahi Script Editor which was an IDE that allowed modification, recording and playback of automation testing scripts. ACADEMIC PROJECTS

Global terrorism dataset (using SAS, Tableau) January 2016 - April 2016

• Performed predictive modelling to predict the success of a terror event with 97% accuracy based on the historic data.

• Performed descriptive case analysis to find interesting insights and built visualizations showcasing them. Steak-Risk Prediction (using R, tableau)

• The dataset contained customer information like drinking and smoking habits, speeding frequency, which lottery they would go for (high risk high gain or low risk low gain). Performed predictive modeling using R to create a model to predict a customer’s preference of steak type based on how “risk-taking” their nature is.

• Created descriptive visualizations showcasing interesting insights in the dataset. TeeTimeUSA web analytics (using Google Analytics)

• Worked with TeeTimeUSA to strengthen their online presence.

• Increased their Click Through Rate by 2% and their monthly online sales by 18%.

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