Data Analyst - SQL, Python, BI Dashboards

CHINNI SAI MAHATHI POLAVARAPU

***********@*****.*** +1-561-***-**** Boca Raton, 33433, Florida SUMMARY

Detail-oriented Data Analyst with 3+ years of experience transforming raw data into meaningful insights that drive business growth and operational excellence. Expertise in data analysis, data visualization, statistical modeling, and business intelligence using SQL, Python, Excel, Power BI, and Tableau. Proven ability to identify trends, optimize processes, create interactive dashboards, and deliver data-driven recommendations. Strong analytical, problem-solving, and communication skills with hands-on experience in database management, reporting automation, predictive analytics, and stakeholder collaboration. TECHNICAL SKILLS

• Programming: Python, SQL,Power BI (DAX & Dashboard Development)

• AI & GenAI: OpenAI GPT, LangChain, RAG, Prompt Engineering, Hugging Face, LLM Evaluation

• Machine Learning: TensorFlow, PyTorch, Scikit-learn, XGBoost, Deep Learning, NLP, Predictive Analytics

• Data Analytics: Pandas, NumPy, ETL, Data Visualization, Statistical Analysis, A/B Testing

• Databases: Advanced SQL, PostgreSQL, MongoDB, REST APIs

• Core CS: Data Structures, Algorithms, OOP, DBMS, Operating Systems, Computer Networks,Data Analysis

& Data Visualization

• Blockchain: Blockchain Fundamentals, Smart Contracts, Web3

• Tools: Git, GitHub, Linux, Jupyter Notebook, VS Code, Jira, Agile/Scrum,Advanced Excel (Pivot Tables, Power Query, XLOOKUP)

WORK EXPERIENCE

Data Analyst (Industrial Practicum) UnitedHealth Group – Florida Atlantic University Partnership Apr 2024 – Mar 2026 Key Responsibilities & Achievements

• Engaged in an industry-integrated practicum program sponsored by Florida Atlantic University in collaboration with UnitedHealth Group, gaining hands-on experience supporting healthcare data analytics and operational reporting initiatives within a large-scale enterprise environment.

• Analyzed and validated large healthcare datasets using SQL and Advanced Excel (VLOOKUP, XLOOKUP, Pivot Tables, INDEX- MATCH) to ensure data integrity across member enrollment, claims processing, and provider network records, achieving 98% data accuracy across monthly reconciliation cycles.

• Developed and maintained Power BI dashboards for operational KPIs including claims turnaround time, member satisfaction scores, and provider utilization metrics, enabling leadership to make data-driven decisions and reducing manual reporting effort by 30%.

• Collaborated with business stakeholders and SMEs to gather, document, and validate requirements for healthcare reporting enhancements, producing user stories, BRDs, and process flow diagrams in Confluence and Azure DevOps.

• Supported UAT coordination for healthcare portal enhancements by designing test scenarios, executing functional test cases, and tracking defects in Azure Boards, contributing to a defect-free production release across 2 quarterly cycles.

• Participated in Agile sprint ceremonies including sprint planning, backlog refinement, daily stand-ups, and retrospectives, assisting the Scrum team in maintaining consistent sprint velocity and on-time delivery of analytics features. YOULOGIX INFOTECH PRIVATE LIMITED

Data Analyst Feb 2022 – Mar 2024

• Worked in the project of Analyzing SoD (Segregation of Duties) violations and user access data within Identity Governance systems to identify security and compliance risks.

• Developed reports and dashboards using SQL, Excel, and Power BI to track access controls, policy violations, and remediation activities.

• Collaborated with IAM teams, auditors, and business stakeholders to support access reviews, compliance audits, and governance initiatives.

• Performed data analysis, validation, and reporting to improve access management processes and ensure regulatory compliance.

HCL TECHNOLOGIES

DATA ANALYST INTERN – AUG 2021 – JAN 2022

• Analyzed network traffic data to detect DDoS attack patterns and security anomalies.

• Created reports and dashboards using SQL, Excel, and Power BI to monitor security metrics and attack trends.

• Performed data cleaning, validation, and analysis to support threat detection and incident response.

• Collaborated with cybersecurity teams to provide data-driven insights for network security improvements. Industrial Practicum Experience Florida Atlantic University JAN 2024 TO APRIL 2025

• Selected to participate in an industry-collaborative practicum program through Florida Atlantic University, working alongside professionals on real-world business and technology projects.

• Gained hands-on experience applying analytical and problem-solving skills in a professional environment while collaborating with industry mentors and multidisciplinary teams.

• Contributed to project planning, data interpretation, research, and solution development to address practical business challenges.

• Strengthened technical, communication, and teamwork skills through exposure to industry-standard tools, workflows, and best practices.

PROJECT EXPERIENCE

Human Behavior Forecasting Intelligence System — Python, TensorFlow, OpenCV, Computer Vision

• Developed a multimodal AI-based behavioraL intelligence system for forecasting human actions, emotional transitions, and movement patterns using deep learning and video intelligence techniques.

• Implemented Video Transformers, Temporal Attention Networks, and 3D CNN models on large-scale audio-visual, pose estimation, and behavioral datasets for predictive action analysis.

• Built real-time activity recognition and intent forecasting pipelines using computer vision, motion tracking, and multimodal behavioral learning architectures.

• Applied predictive behavioral analytics for smart surveillance, healthcare monitoring, robotics, and intelligent public safety systems.

Autonomous Multimodal Cyber Defense Intelligence System — Python, Deep Learning, Cybersecurity, AI

• Developed an AI-driven cyber defense platform for real-time threat detection, predictive attack forecasting, and autonomous threat intelligence using deep learning architectures.

• Implemented Transformer Networks, Graph Neural Networks (GNNs), and Temporal Attention Models on large-scale cybersecurity and network traffic datasets for anomaly detection and attack pattern analysis.

• Built predictive cybersecurity pipelines capable of analyzing intrusion logs, malware intelligence, and threat intelligence feeds to improve cyber threat reasoning and response accuracy.

• Applied explainable AI (XAI) and sequence intelligence techniques for adaptive anomaly detection, attack relationship analysis, and intelligent security analytics in enterprise cybersecurity environments. EDUCATION

FLORIDA ATLANTIC UNIVERSITY - MASTERS IN COMPUTER AND INFORMATION SCIENCES Sathyabama Institute of Science and Technology - Bachelor of Technology in Computer Science Engineering CERTIFICATIONS

Google Cloud – Professional Data Engineer

Amazon Web Services Certified Data Engineer – Associate Microsoft Azure Data Engineer Associate (DP-203)

IBM AI Engineering Professional Certificate

NVIDIA Deep Learning Institute Certifications

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