Siddharth Kandlakunta
Summary
Results-driven Data Analyst with a Master's degree in Computer Science, specializing in Machine Learning, Data Analytics, and Artificial Intelligence. Skilled in data analysis, visualization, predictive modeling, anomaly detection, and large-scale data processing. Proficient in Python, SQL, Databricks, PySpark, Excel, and various BI tools to support strategic decision-making through actionable insights. Experienced in developing and deploying Large Language Models (LLMs) and advanced analytics workflows within collaborative, cross-functional teams.
Overview
5
5
years of professional experience
Work History
Research Assistant
Clemson University
08.2024 - Current
- AI & LLM-Driven Analytics: Develop AI-powered automated reporting tools using Python and Large Language Models (LLMs) to extract enhanced analytical insights, slashing report creation time by 60 percent
- Big Data Processing: Optimize large-scale data processing using Databricks and PySpark to ensure scalability and performance efficiency
- Collaborative Methodology: Engage actively with interdisciplinary teams to refine analytics methods, enhance data accuracy, and improve data workflow efficiency
- Insightful Visualization: Create intuitive dashboards and visualizations for effective communication of analytical findings to diverse audiences
- Contributed to publication of research articles in peer-reviewed journals, showcasing expertise in various topics.
Associate Professional Software Engineer
DXC Technologies
06.2021 - 07.2022
- Software Lifecycle Analytics: Spearheaded root cause analysis of software defects, identifying three most frequent causes of system failures, and directly contributing to 20% decrease in critical incidents
- Predictive Quality Improvement: Achieved 15% reduction in software errors through predictive analytics and root cause analysis, enhancing overall product release efficiency by 10%
- Cross-Functional Collaboration: Worked effectively with diverse teams to implement data-driven software solutions
Data Analytics Intern
Knowledge Solutions
05.2020 - 07.2020
- Dashboard & Forecasting Development: Created interactive dashboards and predictive analytical tools for real-time tracking and forecasting of COVID-19 trends, supporting strategic decision-making processes
- Statistical & ML Application: Implemented statistical methods and machine learning algorithms using Python, R, and Excel for effective anomaly detection and trend analysis
Education
Master's - Computer Science (Machine Learning & Data Analytics)
Clemson University
Clemson, SC05.2024
Bachelor of Technology - Electronics and Communication Engineering
Malla Reddy College of Engineering And Technology
Hyderabad, India07.2021
Skills
- Python
- C
- C
- SQL
- R
- MySQL
- Advanced Excel
- Pandas
- NumPy
- Tableau
- Power BI
- Matplotlib
- Seaborn
- PyTorch
- TensorFlow
- Keras
- Scikit-learn
- AWS
- Azure
- Databricks
- Large Language Models (LLMs)
- Generative AI
- Data Analytics
- Machine Learning
- AI Solutions
- Data Visualization
- Big Data Management
- Problem Solving
- Strategic Thinking
- Technical Proficiency
Timeline
Research Assistant
Clemson University
08.2024 - Current
Associate Professional Software Engineer
DXC Technologies
06.2021 - 07.2022
Data Analytics Intern
Knowledge Solutions
05.2020 - 07.2020
Master's - Computer Science (Machine Learning & Data Analytics)
Clemson University
Bachelor of Technology - Electronics and Communication Engineering
Malla Reddy College of Engineering And Technology
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