Amulya Chinnanayakanapalya Srinivasamurthy
Oviedo,FL
Summary
Data professional with over 2.5 years of experience in leveraging Python for data analysis, automation, and API development, delivering scalable solutions. Proficient in SQL and Power BI, with a proven track record in creating insightful visualizations that enhance data-driven decision-making. Expertise encompasses statistical analysis and data management using SAS, alongside developing ETL workflows to ensure accuracy and reliability. Committed to transforming complex datasets into strategies that optimize operations and drive organizational success.
Overview
2
2
years of professional experience
1
1
Certification
Work History
Volunteers Data Analyst
American Red Cross
, FL
10.2024 - Current
- Analyzed and interpreted large datasets related to disaster response, blood donations, and volunteer efforts using Power BI, providing actionable insights to enhance operational efficiency and resource allocation for the American Red Cross.
- Supported data-driven decision-making processes to optimize humanitarian efforts and enable timely responses to community needs during crises.
- Collaborated with cross-functional teams to ensure data accuracy and consistency, fostering reliable analytics.
Data Engineer
KYS Infosystems Private Limited
01.2023 - 05.2023
- Worked with the team of Data Analysts and Developers to implement Business Intelligence solutions for GRC operations of Banking client
- Involved in developing ETL using Informatica to ingest customer transaction data, developed custom procedural SQL stored procedures to perform data wrangling and ensured data accuracy for quality analytics
- Developed reports using SSRS on biweekly basis to provide summary of account transactions history
- Built efficient APIs utilizing Flask framework and NoSQL database for web application increasing the application processing time by 80% and increased the business productivity
Graduate Teaching Assistant
University of Central Florida
- Designed and executed a comprehensive project using SAS Proc Import to analyze student feedback surveys collected via Qualtrics
- Developed and implemented SAS code utilizing Proc Means, Proc Freq, and Proc Tabulate for detailed statistical analyses to ensure accuracy
- Employed data cleaning methods such as deduplication, normalization, and missing value imputation to maintain reliability of the dataset
- Generated comprehensive reports using SAS ODS (Output Delivery System) to produce visually appealing and informative outputs in HTML, PDF, and Excel formats
Test and Screening Intern
Centum Electronics
- Developed Skills in testing and troubleshooting of various RF Sub-system LNA and HPA which are supplying to ISRO-SAC
- Design the resistor network to draw required amount of current
- Constructing a manual test fixture to evaluate the performance of a hybrid microcircuit with a resistor load
Education
Master of Statistics - Data Science
University of Central Florida
Orlando, FL07.2025
Bachelor of Technology - Electronics & Communication
BMS Institute of Technology
Karnataka, India05.2023
Skills
- Programming: C, Python (Pandas, NumPy, Matplotlib, Seaborn), SAS (Proc Means, Proc Tabulate), R (dplyr, ggplot2)
- Data Visualization: Power BI, Tableau, Matplotlib
- Databases: SQL (PostgreSQL, MySQL, SQL Server), NoSQL (MongoDB)
- Data Engineering: ETL Development (Informatica), Data Wrangling, Cleaning, and Transformation
- Machine Learning: Scikit-learn (Regression, Classification, Clustering), Model Evaluation (ROC-AUC, Cross-Validation)
- APIs & Deployment: Flask, Docker
- Reporting & Statistics: Excel (Pivot Tables, Macros), SAS ODS, Hypothesis Testing, Regression
Certification
- Online course certifications in Foundation of Data Science
- Microsoft Excel Expert Certified
Projects
Covid-19 Prediction and Forecasting Model.
- Aims to develop a system that can accurately convert speech to text and respond to the converted text using chat GPT.
- The system was implemented using OpenAI's Whisper model for speech to text conversion and OpenAI's API to access the Chat GPT Turbo 3.5 machine for generating responses and has potential applications in areas such as virtual assistants, customer service and healthcare where speech recognition and natural language processing are crucial.
Forest Fire Prediction.
- To implement forest fire detection system using small and cheap sensor nodes and to reduce probability of false alarms.
- Build a system which is energy efficient in distributed environment and also efficient in performance.
- The tools and algorithms techniques used to detect these fires; linear regression, random forest, K-Nearest Neighbour, Support vector machine, tensor flow, Bagging, Keras, API, Artificial Neural networks etc.
Timeline
Volunteers Data Analyst
American Red Cross
10.2024 - Current
Data Engineer
KYS Infosystems Private Limited
01.2023 - 05.2023
Graduate Teaching Assistant
University of Central Florida
Test and Screening Intern
Centum Electronics
Master of Statistics - Data Science
University of Central Florida
Bachelor of Technology - Electronics & Communication
BMS Institute of Technology