VISHAL KAMBLE

ac356g@r.postjobfree.com 469-***-****

https://github.com/vishal8266 https://www.linkedin.com/in/vishal-kamble-18452a106 PROFESSIONAL SUMMARY

An AWS Certified Professional with 5+ years of experience in the technology, consulting and service industry. A unique characteristic professional who specializes in data science, solution architect, statistical analysis, business analytics and predictive modelling. A 2018 Masters of Business Analytics graduate from The University of Texas at Dallas interested in data science, solution architect, big data analyst and business analyst roles. TECHNICAL INFORMATION

Certifications: AWS Certified Big Data Specialty, AWS Solutions Architect Associate, AWS Certified Developer Associate, SAS-UT Dallas Data Mining and BI, Google Analytics, Google AdWords Computer Skills: Python, SAS, Tableau, Spark, SQL, AWS, NoSQL, Hadoop, MS Visio, SAS Enterprise Miner, SAP CRM Awards: Accenture Outperform Award (2015), Accenture Celebrates Excellence Gold Standard Award (2016) PROFESSIONAL SKILLS DEMONSTRATED

ATOS August 2017 – Present

Analytics Intern

• Developed predictive scoring model that help drive sales and marketing leads with more accurate leads scoring.

• Designed and Developed sales pipeline prediction model based on marketing campaign data.

• Created rich dashboards using Tableau and prepared user stories to create compelling dashboards to deliver actionable insights to executives.

ACCENTURE June 2011 – August 2016

Software Business Analyst

• Analyzed Requirements, modeled As-Is and To-Be Business Processes, prepared Business Requirement Documents, and acted as an Interface between Clients and Technical Teams.

• Predictive Modelling: Recommended solution designs to EDF Energy based on predictive analysis of electricity and gas meter readings and industry data flows. Reduced model error by 20% and reduced training time by 50%.

• Programming: Enhanced the Batch Control Framework by tuning existing Python and SQL Scripts, removal of redundant processes and reusing existing components and increasing its efficiency by 30%.

• Data Analysis: Executed quality control checks in the form of SQL queries to ensure data integrity and enforce business rules. Saved approximately ~40% of data validation time.

• Machine learning: Implemented the Support Vector Machine Learning algorithm to predict energy consumption for a household. Improved the model's prediction accuracy to 90%. EDUCATION

Masters of Business Analytics (Data Science) The University of Texas at Dallas Bachelor of Technology Shivaji University (Sangli, India) COMPETITIONS

Atos IT AI and Chatbot Challenge 2018: Shortlisted as top 20 finalists (out of 204) for Atos IT AI and Chatbot Challenge. To reduce customer service operation costs and provide more personalized customer experiences, we are building Electra, a cloud-based Chatbot for the utilities industry. Tableau Analytics Competition: Achieved 2nd place at the Tableau Analytics competition (2017). Dominos Coupon Recommendation Project: Achieved Runner-up place in Dominos Live Marketing Analytics Competition. Analyzed more than 27 million transaction data set to build customer segmentation, market target segments, RFM and Coupon recommendation model using market basket analysis. (2017).