Akshitha Padamati
412-***-**** / ********.*****@*****.***
Professional Summary:
Detail-oriented Data Analyst with 2 years of experience in data management, statistical analysis, and visualization. Proficient in SQL, Python (Pandas, NumPy, Scikit-learn), and Power BI, with expertise in data extraction, cleaning, and analysis to drive business insights. Skilled in predictive analytics, data modeling, and dashboard creation, translating complex data into actionable strategies. Strong foundation in big data technologies like Apache Spark and experience in customer analytics, fraud detection, and healthcare data analysis. Passionate about leveraging data-driven decision-making to optimize performance and business outcomes.
Technical Skills:
Category
Skills
Programming
Python, SQL, R
Data Analysis
Pandas, Numpy, Excel, Power BI
Databases
MySQL, PostgreSQL
Machine Learning
scikit-learn,TensorFlow(Basic)
ETL Tools
Apache Spark,Hadoop,Hive,Azure Databricks
EDUCATION
Duquesne University
master’s in computer science
Pittsburgh, PA
Dec 2023 - Dec 2025
Vignan Institute of Technology and Sciences
Bachelor of Technology in Computer Science and Engineering
Hyderabad,Telangana, India
Aug 2019 – Apr 2023
Professional Experience:
INBOUND PARTNERS
Operations Analyst
Analyzed operational data using SQL and Excel to identify inefficiencies and improve business processes.
Developed automated reports and dashboards in Power BI/Tableau, providing real-time insights into key performance metrics.
Worked closely with finance, logistics, and IT teams to enhance operational workflows and drive efficiency.
Monitored KPIs and business performance trends, identifying cost-saving opportunities and process enhancements.
Implemented process automation using Python and ETL tools, reducing manual efforts and increasing operational efficiency.
Conducted risk analysis and performance assessments, ensuring data-driven decision-making for strategic planning.
ACADEMIC PROJECTS
Customer Analytics
Analyzed customer behavior using Python and SQL to group customers based on their shopping habits.
Used K-Means clustering to find different types of customers and identify the most valuable ones and created Power BI dashboards to show customer trends, how often they return, and how much they spend.
Built a churn prediction model to predict which customers might leave and suggest ways to keep them.These insights helped businesses improve marketing and keep customers engaged.
Fraud Detection
Built a fraud detection system using machine learning to find suspicious transactions.
Used SQL and Python to clean and analyze large transaction data and spot unusual patterns.
Created a Power BI dashboard to monitor and highlight risky transactions in real time.
Improved the model by tuning features, reducing false alarms, and making fraud detection
more accurate.This helped in identifying fraud early and reducing financial losses.
Healthcare Data Analysis
Analyzed patient records, treatment history, and hospital performance using SQL and Python to identify trends.
Created Power BI dashboards to track hospital efficiency, patient satisfaction, and cost management.
Built a disease risk prediction model using Logistic Regression and Decision Trees to assess health risks.
Identified key factors behind patient readmissions and treatment inefficiencies through data analysis.These insights helped in optimizing hospital resources and improving patient care.
SOFT SKILLS
Problem-Solving Skills: Strong analytical skills with the ability to approach problems methodically and develop effective solutions.
Communication Skills: Excellent verbal and written communication skills, with the ability to collaborate effectively with team members.
Adaptability: Open to learning new technologies and adapting to new environments.
Project Management: Basic understanding of project management principles and the ability to track project progress.
CERTIFICATIONS
Prompt Engineering for ChatGPT
Crash Course on Python
MySQL from Odinschool
Power BI from Odinschool