Sandeep Reddy Kancharla
Fairfax, VA ***** 571-***-**** ******@***.*** www.linkedin.com/in/sandeep-kancharla/
Education
George Mason University, Fairfax, VA
Master of Science, Computer Science
January 2023
GPA : 3.35
Vignan Institute of Technology and Science ( Affiliated to JNTUH ), Hyderabad, India
September 2020
Bachelor of Technology, Computer Science and Engineering
GPA : 3.60
Technical Skills
Programming
C, C#, Python, HTML, Bootstrap, Angular, JavaScript, Spring, R.
Database
Oracle, MySQL, MongoDB, Postgres, SQLServer.
Packages
sci-kit learn, seaborn, Pandas, Numpy, SQLAlchemy, BeautifulSoup.
Big Data Technologies
Technologies
Mage, Apache Airflow, Spark.
Docker, Kubernetes, Jenkins, Azure, AWS, TFS, Figma, Git Version Control.
Work Experience
Moody’s Analytics, New York.
March 2023 – January 2024
Software Development Engineer – Data L1 Analyst
Possesses expertise in UI/UX design, architectural feedback, and clear documentation. Adept at stakeholder engagement, risk management, and interfacing with external teams.
Managed project backlogs, user stories (Jira), and Agile ceremonies (Scrum) while collaborating with stakeholders and SMEs. Streamlined data collection, reduced planning tool errors by 30%, and developed project plans (MS Project).
Utilized Python, Spark, and SQL for complex data manipulation, storage (Snowflake), and analysis, resulting in improved dashboards (Power BI) and a 50% reduction in fulfillment center issues. Performed in-depth ad-hoc analysis to support product teams.
Effectively communicated complex technical concepts to non-technical stakeholders, ensuring project buy-in and collaboration.
Profskills4U, Hyderabad, INDIA
January 2018 – July 2020
Data Analyst / Business Analyst – Logistics industry
Managed Agile Scrum projects, facilitated JAD sessions, and created project documentation (schedules, design specs, test plans). Utilized Jira for user story development and backlog management.
Utilized Python, SQL, and Power BI for data cleaning, analysis, and visualization to improve healthcare operations (e.g., reduced costs by 15% through identifying bottlenecks). Developed a predictive model for chronic disease risk identification.
Created clear and concise reports and dashboards that facilitated data-driven decision-making for the project.
Related Projects
Dynamic Student Survey From, RESTful API
Sept 2022 – Jan 2023
Developed a web application and built REST API for the backend data flow using Spring Boot and Postgres SQL.
Led a team of 4 in the complete software development lifecycle using AGILE SDLC methods and tasks.
DNS Client, Computer Networking
April 2021 – May 2021
Developed a DNS client in Python/C without relying on predefined packages, showcasing proficiency in network programming and understanding of DNS protocol specifications.
Demonstrated expertise in handling low-level networking concepts such as UDP socket communication, DNS message formatting, and timeout-based retry mechanisms, highlighting strong problem-solving skills.
Train delay prediction system, Research Project
December 2019 – May 2020
Collaborated with 2 others to analyze artificial neural network models and applied them to a case study on train delay prediction.
Published the report and findings as a research paper titled "Train Delay Prediction System using Real-time Web Servers and Web Scrapping" in The IJAEMA Journal, Volume XII, Issue IV, April -2020.
Vignan App, Android mobile application
July 2019 – December 2020
Part of the front-end development team responsible for designing and building the interface of the android application in Android Studio.