ANURAG THIMMAREDDY

*+ years of professional experience in Data Engineering and Analytics

984-***-**** ad2fkk@r.postjobfree.com

https://www.linkedin.com/in/anurag-thimmareddy-7aa345192/ Professional Skills: BigData(Apache Spark,)Data Visualization, Data Mining, Applied Statistical Methods, SDLC, Linear Regression

EDUCATION

University of Cincinnati, Carl H. Lindner College of Business, Cincinnati, Ohio Master of Science, Business Analytics

Aug 22 – Aug 23

SRM Institute of Science & Technology, Chennai, India Jul 16 – May 20 Bachelor of Technology, Computer Science

TECHNICAL SKILLS

• Programming & scripting languages: SQL, Spark, Python, R, Java,

• Data Science Techniques: Excel, Data Visualization (Tableau, PowerBI, ggplot2, matplotlib), Exploratory Data Analysis, Regression Modelling and Analysis, Clustering Analysis, NumPy, Pandas, Matplotlib, Plotly, Seaborn

• Software & Tools: Oracle,MySQL,Apache Spark, Azure, SDLC, Agile Software Methodologies, JIRA PROFESSIONAL EXPERIENCE

Druvi Infosys Consultant May 23 – Present

• Sourcing and interpreting data from internal systems & external sources to identify trends, patterns and insights to improve business performance.

• Created dashboards using Tableau for effective business communication.

• Identify KPIs with clear objectives and monitor them consistently.

• Review existing BI systems and make technical changes in order to enhance their functioning.

• Maintaining the ETL processes and data warehouses along with Documenting data mapping, business rules, definitions.

Ernst & Young - Global Delivery Services Business Data Analyst Aug 20 – Apr 23

• Leveraged expertise in Banking, Financial, and Insurance domains to serve as a crucial link between the Technology Delivery team and Lines of Business (LOBs) Stakeholders.

• Used ‘Know Your Customer’ (KYC) and Anti-Money Laundering (AML) approaches thereby saving ~

£ 450K for the Business by filtering the red flagged accounts. Created more than 500 Insurance Policies

• Collaborated with cross-functional teams in Technology and LOBs to identify, document, and communicate business needs, aligning technology solutions with strategic objectives.

• Created impactful and informative data visualizations for both internal teams and external stakeholders.

• Prepared user interface diagrams, business process, and workflow diagrams to support project implementations, aligning technology solutions with business strategies and business processes.

• Comprehended the Business requirements, Client Expectations in Policy Center and Billing Center of DuckCreek and Guidewire technology.

Obel Systems Pvt. Ltd. Data Analyst Nov 19 – May 20

• Structured queries for data recovery, identifying missing data packets and coordinating with stations to resend packets for Real-Time Data Acquisition Systems (RTDAS).

• Enhanced weather forecasting efficiency by 11% through timely data recovery and packet resending.

• Leveraged strong analytical skills to ensure data quality, contributing to more accurate weather forecasts.

• Conducted data profiling and analysis to maintain data integrity and improve overall system performance. Nektan Global Gaming LLP (Hyderabad) Game Developer – Intern Nov 18 – Jan 19

• Developed a dashboard with automated reporting features for real-time monitoring of player reports and anomalies, resulting in a 15% reduction in server downtime.

• Utilized ReactJS to create interactive UI components, incorporating concepts such as One-way Data Flow, Virtual DOM, JSX, and React Native.

• Gained familiarity with Agile methodologies, specifically the Scrum board approach, fostering an iterative and collaborative development process. ACADEMIC PROJECTS Data Visualization with Tableau:

• Developed a dashboard on all of the Marvel Flicks based on budget and box office collections, linking the common cast with the help of Network Diagrams, Sankey Graphs, and Javascript API.

• Conducted detailed data analysis on the Marvel Flicks dataset to evaluate the success of different movies based on budget and box office collections, leading to valuable insights for the film industry. Products campaign performance analysis for Retail dataset:

• Performed Exploratory Data Analysis (EDA) on campaign performance using R, analyzing redemption rates, total sales generated by products, targeted households, age groups, and income ranges of customers.

• Conducted detailed level functional specification documentation for the campaign performance analysis, capturing data mapping, transformation rules, and testing criteria, resulting in comprehensive insights for marketing and sales teams.

Simulation and Optimization of University Cafeteria:

• Lead a team of 4 to successfully reduce the waiting time, serving time and under-utilization of resources in the Cafeteria, by using Arena SIMULATION Software with the help of Monte-Carlo Simulation.

• Academic Director suggested the results to the Cafeteria Management, which saw the improved efficiency on implementing the same.

Criminal Data for Predictive Policing using Python:

• Taking latest Boston Crime data-2022- after cleaning data – grouped 120 categorical values to 15 groups for interpretational ease and analysis. Analysis w.r.t TIME(Day of Week, Time of Day,Month), District Wise for each Offense Group made me reach some valuable insights.

• Combining the above with Spatial Analysis using geographic information systems (GIS) to map crime incidents and identify high-crime areas.

Certifications

• AGILE BUSINESS ANALYSIS - OVERVIEW- UDEMY

• Microsoft Certified Azure - AZ 900

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