Python, SQL, Java, Tableau, numpy, pandas, tensorflow, Excel

SRUJAN VADDIPARTHI

linkedin.com/in/srujan-vaddiparthi — 913-***-**** — ******@*.***.*** — github.com/SrujanVaddiparthi Summary

Data scientist with diverse experience in data analytics, process improvement, and AI transparency. Skilled at working with large datasets to find trends and develop solutions that drive efficiency and improve decision-making. I’ve worked on projects ranging from sustainability to cybersecurity, always focusing on practical, stakeholder-driven outcomes. Currently exploring explainable AI to build trust in AI models for cybersecurity. Adaptable and known for delivering valuable insights across various domains.

Technical Skills

Programming Languages & Frameworks: Python, MySQL, Java, TensorFlow, OpenCV, numpy, pandas Tools & Technologies: Tableau, LookerStudio, BigQuery, GitHub, Jupyter Notebook, Visual Studio, Microsoft Excel Experience

Udaan — Business eCommerce January 2023 - May 2023 Data Science & Business Intelligence Analyst Microsoft Excel, MySQL, Looker Studio, Python Bengaluru, India

• Automated the purchase-order approval process, reducing approval time by 80% and improving inventory transparency across 200 warehouses in India. This optimization enhanced demand forecasting for the General Merchandise category, minimizing inefficiencies in stock management and cutting shipping costs.

• Developed and implemented a scalable ladder pricing strategy, resulting in a 70% increase in average order value and units per order, enhancing operational efficiency and supply chain management.

• Created an ads tracker dashboard for the general merchandise team to monitor ad revenue, improve visibility, and find new ad opportunities on the e-commerce platform.

BITS Pilani Mechanical Engineering Department August 2022 - December 2022 Research Assistant CNC Robot for Terrace Farming Python, OpenCV, YOLOv7, Arduino Hyderabad, India

• Designed a CNC-based gantry robot with multi-axis movement for automated planting and weed detection. Developed a versatile Z-axis module equipped with NPK sensors, injectors, and a heated wire weed eliminator.

• Integrated environmental sensors for real-time monitoring and data logging. Utilized SolidWorks and Fusion 360 for custom mechanical design and CNC machining.

• Led end-to-end project management, ensuring timely delivery within budget while coordinating a team of engineers. Projects

Explainable AI for Cybersecurity Applications Python, TensorFlow, XAI August 2024 - Present

• Researching explanation methods in machine learning models for cybersecurity to enhance transparency and ethical AI practices.

Job Posting’s Authenticity Detection Model Python, NumPy, pandas, scikit-learn April 2024

• Developed a job posting authenticity model using TF-IDF and Genetic Algorithms, achieving 97.4% F1 score and 74.8% on new data.

Ecological Footprint: California vs Texas Analysis Tableau, Google Sheets May 2024

• Created interactive dashboards to visualize ecological footprint insights, collaborating with a team to follow Agile methods for data preparation and visualization.

YOLOv7-Based Weed Detection Model Python, YOLOv7, OpenCV August 2022 - December 2022

• Developed a YOLOv7 model for automated weed detection, integrating it with a CNC-based robot for real-time detection and response using data augmentation techniques.

COVID-19 Radiography Classification with ResNet50 Python, NumPy, TensorFlow March 2023 - April 2023

• Built a ResNet50 model for COVID-19 radiography classification, achieving 96% validation accuracy using grayscale conversion and histogram equalization.

Education

Rochester Institute of Technology August 2023 - December 2025 Master of Science in Data Science — GPA: 3.95/4.0 Rochester, NY Birla Institute of Technology and Science, Pilani August 2019 - May 2023 Bachelor of Engineering in Mechanical Engineering Minor in Robotics — GPA: 3.60/4.0 Hyderabad, India Relevant Courses: Explainable AI, Database and Data Modeling, Data Science & Analytics, Computer Programming in Python and Java, Applied Statistics, Visual Analytics, Digital Image Processing

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