Srikanth Reddy Cherukupelli

860-***-**** adbxdz@r.postjobfree.com www.linkedin.com/in/srikanth-reddy-cherukupelli EDUCATION

University of Connecticut School of Business, Hartford, CT Dec 2019 Master of Science, Business Analytics and Project Management (GPA: 3.7/4.0) Osmania University College of Engineering, Hyderabad, India May 2015 Bachelor of Engineering, Electronics and Communication (GPA: 8.3/10) TECHNICAL SKILLS

Programming Languages & Tools: SQL, SAS (Base, Enterprise Guide, JMP, Miner), Python, R, Tableau, MS Power BI, Advanced Excel

(Functions, Pivots, Macros, Lookups, VBA, Solver), MS Power Point Databases: Oracle SQL, Microsoft SQL Server, MySQL, Teradata Techniques: Exploratory Data Analysis, Data Blending, Data Mining, Data Visualization and Reporting, Business Intelligence, Data management, Business Decision Modeling, Business Process Modeling, Statistical Analysis, Healthcare Analytics, Data Modelling, Machine Learning, Regression, Classification, Web Analytics, Supply Chain Analytics, Project Risk Management PROFESSIONAL EXPERIENCE

Stanley Black & Decker Inc. (Capstone Project) Analytics Consultant Aug 2019 - Dec 2019

• Developed interactive Tableau dashboard to visualize Freight spend of $300M for 350 carriers for years 2018-19

• Analyzed data in Python to identify potential cost reduction opportunities by truck load rounding (LTL to FTL); ensuring truck space optimization; cost saving up to $132K by switching carriers

• Used SQL queries, data warehousing techniques to leverage insights from multiple data sources

• Designed a recommender system to provide the best carrier option for any shipping condition resulting in cost savings by 13% Cleco Corporate Holdings LLC Data Science Intern May 2019 - Aug 2019

• Automated process of detecting critical outage patterns in data using Python; improving detection by 40%

• Reduced callouts by 20% and significant General & Administrative expenses by identifying location and frequency of real-time outages with Tableau dashboards

• Identified potential customers for Energy efficiency program by analyzing data from multiple sources in SAS using customers demographics, power consumption parameters

• Explored call center data in Microsoft Power BI; capturing major reasons for calls for better resource allocation Deloitte Touche Tohmatsu Limited Associate Solution Advisor Jul 2015 - Jul 2018

• Performed Exploratory Data Analysis in SAS, SQL and Excel to identify trends, anomalies. Develop ETL procedures and data pipelines in support of financial reporting for Fortune 500 companies

• Performed Data cleaning, Data mining leveraging information from Metadata and moved consolidated data to agile framework, automating the process after validating the business requirements

• Implemented hierarchical clustering to segment project contracts for revenue recognition through POC method; enhanced risk assessment methodology using Tableau dashboards

• Automated the process of extracting data samples using Business Intelligence tools; reduced turnaround time for ad-hoc requests from 5 days to 6 hours

• Consumer Analytics: Performed customer segmentation using RFM model, K-Means clustering. Suggested different ways to reach out to customers in different clusters and increased conversion rate by 21%

• Performed reconciliation for data quality and data profiling using SQL queries from multiple sources with various formats

• Supervised team of 4 analysts & interns for GL-TB reconciliations and samples extraction using SAS, ACL and Excel reporting

• Managed 20+ entities, interacted with audit teams on scoping discussions and ensured on-time delivery of project assignments Deloitte Touche Tohmatsu Limited Analyst Intern Dec 2014 - Feb 2015

• Developed scripts in SAS/SQL to read data extracts of various formats; standardized data manipulation for internal tools ACADEMIC PROJECTS & COMPETITIONS

• Voya Financial Data Challenge (Marketing Analytics): Python, SAS, Excel, Tableau Implemented Text Mining and NLP techniques to build a bag of words model; identified key words for Email subject lines, sweet spots for email volume and provided business recommendations to improve Click-through rate by 20%

• Insurance Fraud Analytics: Python, SAS, Tableau Performed data analytics on insurance claims data, identified key factors of Fraudulence, built classification models with accuracy of 76%