Rama Sai Reddy Chinthamreddy

Tampa, Florida ad1p16@r.postjobfree.com +1-813-***-**** Linked In GitHub SUMMARY

Proficient in using a range of programming languages and technologies, including Python, R, SQL, and Tableau, to transform raw data into actionable insights that drive informed business decisions.

Demonstrated ability in data mining, predictive modeling, and statistical analysis to find trends, patterns, and anomalies, enabling businesses to make data-driven decisions for improved efficiency, profitability, and customer satisfaction.

Possessing profound knowledge in .NET MVC and Entity Framework developer with a deep understanding of object-oriented programming principles.

Proficient in data management with SQL and MongoDB, encompassing database design, optimization, and integration using APIs and ETL techniques.

PROFESSIONAL EXPERIENCE

TGH-USF People Development Institute Tampa, FL

Dashboard Specialist (Student Assistant) JAN 2023-Present

● Spearheaded the development of interactive and insightful dashboards using Qlik Sense. Aggregated and analyzed complex data sets to extract meaningful insights and trends.

● Automated the data preprocessing process and the creation of a monthly report, reducing the time spent by the Data Scientist on routine data preparation task by 80% and providing a more accurate report.

● Streamlined data cleaning and preprocessing workflows, utilizing Python and Pandas, resulting in a 70% reduction in manual effort and ensuring data accuracy.

● Automated the generation of weekly performance reports through integration with Excel VBA, optimizing reporting processes and enhancing overall team productivity.

● Collaborated with cross-functional teams to identify key performance indicators (KPIs) and developed custom visualizations to track and analyze project milestones. INFOSYS LTD Bangalore, India

Senior Systems Engineer JUL 2021-AUG 2022

Systems Engineer JUL 2019- JUN 2021

● Enhanced the web API's efficiency by 50% while developing RESTful applications. Achieved this improvement by implementing the Entity Framework, LINQ, and SQL Server as backend databases for the .NET Framework.

● Designed a feature-rich user interface using HTML, JavaScript, jQuery, and CSS. Significantly optimized website performance, resulting in a 5% boost in loading times.

● Implemented automation scripts using SQL and Python for routine data extraction, transforming raw data into actionable insights, minimizing processing time by 50%.

● Spearheaded the development of a comprehensive data dashboard using Tableau, providing real-time visibility into key performance metrics, and facilitating informed decision-making. INFOSYS LTD Mysore, India

Project Intern DEC 2018- MAR 2019

● Underwent 8 weeks of training in Data structures and algorithms with Python, SQL, and .NET Technologies.

● Utilized Entity Framework to create object-relational mappings (ORMs) for data persistence in applications.

● Engineered an advanced data cleansing pipeline, leveraging Python and Pandas, leading to a 60% reduction in manual data handling and a substantial enhancement in data quality and integrity. PROJECTS

Sales performance dashboard PowerBI, Excel, ML algorithms, Python

● Developed and implemented a comprehensive Power BI dashboard to provide real-time visibility into key sales metrics, including revenue, profit margins, and product performance.

● Streamlined sales reporting processes by reducing reporting lag by 60%, enabling the sales team to make data- driven decisions based on the most up-to-date information.

● Established a unified view of the sales pipeline and customer interactions by integrating data from multiple sources, including CRM, ERP, and external platforms.

● Enhanced sales forecasting accuracy by 15% by achieving a seamless flow of information and identifying key trends and patterns in sales data.

Data mining analysis on a data set to predict chronic kidney disease. Python, Pandas, Scikit-Learn, Jupyter Notebook

Developed a comprehensive predictive model for chronic kidney disease utilizing various machine learning algorithms, including K-Nearest Neighbors (KNN), Decision Trees, Random Forest, XGBoost, and AdaBoost.

Achieved impressive results with recall rates ranging from 88.03% (KNN) to 99.16% (AdaBoost), demonstrating a strong ability to identify potential cases of the disease accurately.

Conducted extensive exploratory data analysis (EDA) to identify relevant features and patterns within the dataset, employing Python, Pandas, and visualization libraries in Jupyter Notebook.

Implemented hyperparameter tuning and cross-validation techniques in Scikit-Learn to optimize the performance of each machine learning model, enhancing predictive accuracy. eSports Earnings Analysis Power BI, Python, SQL, Excel VBA, Tableau

● Analyzed eSports Earnings dataset from Kaggle using Tableau, uncovering key insights into the financial landscape of professional gaming.

● Identified a significant positive correlation (r=0.78) between a player's total earnings and the number of tournaments participated in, highlighting the impact of consistent participation on financial success.

● Discovered that the top three eSports games with the highest median earnings were Dota 2 ($60,000), Counterstrike: Global Offensive ($35,000), and StarCraft II ($25,000), providing valuable insights for aspiring professional gamers.

● Utilized Tableau's interactive visualizations to showcase the distribution of earnings, revealing that most players earned between $1,000 and $10,000, emphasizing the competitive nature of the eSports industry. EDUCATION

UNIVERSITY OF SOUTH FLORIDA Tampa, FL

Master’s in Business Analytics and Information Systems 2022-2023 SREE VIDYANIKETHAN ENGINEERING COLLEGE Tirupati, India Bachelor of Technology in Computer Science and Engineering 2015-2019 SKILLS

● Databases: Microsoft SQL Server, MySQL, PostgreSQL, MongoDB.

● Data Visualization: Tableau, Power BI, Qlik Sense, Seaborn.

● Programming Languages: C, C#, Python, SQL, R, HTML, CSS, JavaScript.

● Technologies: ASP.NET, Entity Framework, .NET Core, Django, Flask, Git.

● Certifications: Infosys Certified DevOps Professional, Career Essentials in Data Analysis by Microsoft and LinkedIn, Infosys .Net Core Full Stack Developer Certification

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