Sai Parthish Mandumula

Dedicated and results-driven Data Analyst with a strong foundation in data manipulation, visualization, and machine learning. Proven ability to extract valuable insights from complex datasets and provide actionable recommendations. Proficient in utilizing tools such as Power BI, SQL, and Python for effective data analysis. Adept at collaborating with cross-functional teams to drive data-informed decision-making. Seeking opportunities to contribute analytical expertise and drive business success Highly motivated and detailed-oriented candidate passionate about using data to improve business performance and customer experience. Skilled at leveraging data to develop actionable solutions to business challenges and utilizing data mining and data visualization to create meaningful insights. Excellent technical aptitude and knowledge of programming languages, data analytics and data visualization.

Telangana Tourism Department Insights May 2023

• Developed Comprehensive Tourism Analysis: Formulated an exhaustive report for the Telangana Tourism Department, unearthing invaluable insights into data trends.
• Managed Data Cleansing and Visualization: Directed data refinement and visualization initiatives, ensuring meticulous representation of Telangana Tourism Department data.
• Engineered Strategic Dashboards with Predictive Components: Designed intricate dashboards showcasing vital KPIs, coupled with the application of predictive analytics to forecast 2025 visitor statistics and revenue.

Prediction of Breast Cancer Nov 2023

• Anticipated Breast Cancer Probability: Utilized the Wisconsin Breast Cancer dataset to forecast the probability of breast cancer occurrence.
• Harnessing Advanced Machine Learning Models: Employed K-Nearest Neighbors (Knn), Naive Bayes Classifiers, and Decision Trees to strategically enhance predictive accuracy.
• Delivered Exceptional Prediction Accuracy: Attained a remarkable 86.34% precision in predictions, signifying the robustness of the models in assessing breast cancer risk.

Customer Personality Analysis Mar 2022

• Forged an Advanced Analytical Framework: Created an advanced analytical framework by synergizing logistic regression and Support Vector Machine (SVM) methodologies.
• Anticipated Churn Rate and Categorized Retail Customer Trends: Leveraged the framework to predict churn rates and categorize intricate retail customer trends, empowering the deployment of precisely targeted retention strategies and driving substantial business growth.

 Autonomous Fire Extinguishing Robot Dec 2021

• Led a cross-functional team of 3 in designing and engineering software for an adaptable fire extinguishing robot, effectively addressing unforeseen circumstances and dynamic environments
  
  

• Empowering Business with Effective Insights – TCS
• Power BI Virtual Case Experience – PwC

VIRTUAL INTERNSHIP EXPERIENCE

Data Visualization: Empowering Business Insights May 2023

• Performed comprehensive data preparation, including advanced data cleansing and transformation
  techniques, to ensure accuracy for subsequent analyses
• Demonstrated expertise in strategic alignment of findings with business objectives, showcasing a deep
  understanding of decision-making processes

Power BI Virtual Case Experience – PwC. . Jun 2023

• Initiated and facilitated successful upskilling programs, equipping team members with proficiency in digital
  tools for data visualization, automation, and data cleansing
• Crafted an interactive Power BI dashboard showcasing pertinent KPIs and metrics, enabling seamless
  monitoring and interpretation by senior management