Siddhartha Pothukuchi
Software Engineer @Blackhawk Network
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WORK HISTORY
Software Engineer @Blackhawk Network
Dallas, TX, US
EDUCATION
FIITJEE
Intermediate
Indian Institute of Technology, Bhilai
B.Tech, Electrical and computer science engineering.
Purdue University
Master of Science - MS, Information security
Johnson Grammar School ICSE & IB
ICSE
ABOUT SIDDHARTHA POTHUKUCHI
I am an aspiring Software Engineer who loves uncovering insights from data and solving real-world problems. My journey into Development began during my undergraduate studies, where I was captivated by how data can drive decision-making and innovation. This interest blossomed when I worked on an ARIMA forecasting project for air quality prediction, showcasing results that helped businesses improve air quality by targeting specific areas more effectively. These are my professional highlights- Revenue Optimization: At PL Only Organics, I implemented a GPT-based AI recommendation engine, boosting annual revenue by $1.1M and increasing the average order size by 12%- Educational Impact: As a Research Assistant at Purdue University, I created machine learning labs that increased student engagement by 25% and improved performance by 30%- Efficiency Improvements: At Purdue Online, I designed data visualization dashboards and optimized SQL queries, reducing project delivery times by 20% and enhancing data retrieval efficiency by 35%- Healthcare Innovation: At Sensordrops Networks, I developed a Django-based healthcare platform that improved early disease detection by 25% and cut analysis time by 20%. My technical toolkit includes Python, SQL, TensorFlow, and Scikit-learn, along with Docker, Kubernetes, Tableau, and Power BI. I excel at developing and optimizing machine learning models, conducting data preprocessing, and deploying scalable solutions. I also have a strong grasp of the software development lifecycle (SDLC) and Agile methodologies, and I’m skilled in project management and leading cross-functional teams. Technical Skills: Programming Languages: Python, SQL Machine Learning Frameworks: TensorFlow, Scikit-learn Data Visualization: Tableau, Power BI Tools: Docker, Kubernetes Methodologies: SDLC, Agile.
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