Bharath Vattikuti

About Me

I am Bharath Vattikuti, a graduate student at University of Cincinnati (UC) majoring in Business Analytics. Been working in IT sector for over 3 years with an experience of serving Fortune 500 customers in Europe across Telecommunication, Finance fields.

Education

• Masters of Science in Business Analytics - University of Cincinnati 2018 - 2019
• B.Tech in Electronics and communications - Acharya Nagarjuna University 2011 - 2015

Experience

Principal Global Investors, Graduate Student Consultant, USA Jan 2019 - present

• Working on building a Natural Language Processing (NLP) model to classify the text from various sources, based on the sentiments and the tone of the sentence

Tata Consultancy Services, India May 2015 - Jul 2018 Analytics Consultant

• Performed text analytics in R to derive insights from monthly incident tickets, identified repetitive high priority tickets and presented the same to the clients resulting in 19% customer tickets reduction semi- annually
• Predicted employee attrition rate with an accuracy of 84% using Random Forest Classifier
• Optimized existing SQL queries being used for the data collection thus improving speed and efficiency
• End to end delivery of Azure Migration project – includes Requirement Analysis, Technical Specs Preparation, Coding and Test Case preparations – resulting in cost reduction of 8.7M SEK to customer
• Mentored the newcomers, acting as Subject Matter Expertise (SME), ensuring smooth transition
• Awarded “Star of the Quarter” (youngest ever in a team with 70-member strength to receive this) for initiating and delivering Excel Incident Reduction program, leading to 10% increase in CSI

Associate System Engineer

• Resolved incident tickets as a technology support focal team member for European Tele communication giant (35000+ users) with 4.86/5 customer feedback rating
• Designed interactive Tableau dashboards to showcase trend of the customer incident tickets and track progress.
• Automated manual template transfer to partner firms and increased the team’s utilization by 40%
• Revised the existing KPI’s, streamlined the process and reports, and facilitated monthly business reviews enabling senior executives in monitoring the right metrics to take quick and informed decisions

PROJECTS AND ACHIEVEMENTS

• Amend Case Competition: Created a R Shiny Dashboard, Gradient Boosting Machine learning model to predict the price and ordering quantity for Stairtek,inc with 88% accuracy.
• German Credit Risk Evaluation: Performed various variable selection techniques and built a Logistic regression & CART models to perform credit risk analysis on credit data with asymmetric misclassification rate of 15%
• Healthcare Telecommunication Push: Integrated data from different sources using Big Data tools (Spark, Hadoop, Hive, PySpark) on AWS machine to identify the areas for new business opportunities
• Paying the President Visualization with Tableau: Worked with ProPublica data and designed an interactive visualization highlighting trends of the spending at Trump’s properties between 2015 and 2018
• Applied various machine learning algorithm (classification, clustering, Regressions) techniques on projects from wide range of business areas such as Finance, Retail, Telecommunications
• Experience of performing tasks such as solving, visualizations, optimizing, simulations with Excel.
• EAMCET: Stood in top 1% of 0.7 million applicants who appeared in year 2011
• Full Scholarship recipient for all 4 years in college

SKILLS & CERTIFICATIONS

• Analytical Tools: R, SAS, Tableau, SQL, Hadoop, Spark, Hive, Advanced Excel, SAP BI, MATLAB, Google Analytics
• Software and Programming: Linux, Unix, Java, Python, C, C++, MS Office, SAP ERP, Putty, HANA Studio
• Databases: Oracle, SAP HANA, MS SQL, MySQL, Azure, Solaris
• Certifications: Data Scientist in R, Google Analytics IQ, ITIL 2011 Foundation