Summary
Overview
Work History
Education
Skills
Certification
Projects
Websites
Languages
Timeline
Generic

Swadesh Akula

Plainfield

Summary

Results-driven Data Analyst with expertise in Python and SQL, honed at Fanbase AI. Successfully developed machine learning models and automated reporting, enhancing campaign performance insights. Proven ability to communicate complex data findings effectively, while collaborating with cross-functional teams to ensure data integrity and quality. Strong analytical and problem-solving skills.

Overview

5
5
years of professional experience
1
1
Certification

Work History

Data Analyst

Fanbase AI
CA
05.2025 - Current
  • Conducted EDA and developed machine learning models to analyze fan behavior and campaign performance.
  • Built SQL pipelines and Python scripts to automate reporting and KPI monitoring.
  • Created interactive dashboards that communicated complex findings to stakeholders.
  • Partnered with data engineers and product teams to ensure data quality and performance.

Security Analyst

Hostmud
08.2022 - 05.2023
  • Integrated and tuned IBM QRadar for real-time threat detection across varied IT systems.
  • Led investigations of SIEM alerts and implemented rule-based anomaly detection.
  • Authored SOPs and led internal training for SOC analysts on QRadar operations.
  • Collaborated on integrating external threat intelligence into QRadar using APIs.

IT Intern

National Institute of Electronics & Information Technology
05.2020 - 06.2021
  • Supported development and testing of web applications.
  • Assisted in configuring secure networks and user access policies.
  • Participated in research for vulnerability analysis tools and incident response documentation.

Education

Master of Science - Information Technology Management

Indiana Wesleyan University
Indiana, USA

Bachelor of Engineering - Electronics and Communication

Sri Indu Institute of Engineering & Technology
Hyderabad, India

Skills

  • Languages: Python, SQL, Java, R, C
  • Machine Learning: Scikit-learn, NumPy, Pandas, NLP (spaCy), Time Series Analysis
  • Data Visualization: Matplotlib, Seaborn, Plotly, Tableau
  • Databases: MySQL, PostgreSQL
  • Tools: Jupyter, Git, ServiceNow, QRadar, Google Workspace
  • Web Dev: HTML, CSS, JavaScript, Spring Boot
  • Security & Networking: Cisco Routing & Switching (CCNA), VPNs, IDS/IPS
  • Operating Systems: Linux/Unix, Windows, macOS

Certification

  • Cisco CCNA (200-301) – Network Fundamentals & Access (LinkedIn Learning), Completed Feb 2025
  • In Progress: Coursera – Machine Learning Specialization (Andrew Ng)

Projects

Time Series Forecasting of Financial KPIs, Built ARIMA and Prophet models to predict engagement and revenue for marketing campaigns., NLP on Financial Documents, Used spaCy and transformer models (DistilBERT) for named entity recognition in SEC filings., SIEM Data Correlation, Created custom QRadar correlation rules to identify complex multi-stage attacks.

Languages

English
Full Professional
Hindi
Full Professional
Telugu
Native/ Bilingual

Timeline

Data Analyst

Fanbase AI
05.2025 - Current

Security Analyst

Hostmud
08.2022 - 05.2023

IT Intern

National Institute of Electronics & Information Technology
05.2020 - 06.2021

Master of Science - Information Technology Management

Indiana Wesleyan University

Bachelor of Engineering - Electronics and Communication

Sri Indu Institute of Engineering & Technology