
Highly motivated and detail-oriented Data Analyst with a strong foundation in data analysis, visualization, and reporting. Skilled in developing and implementing data collection systems, identifying business needs, and creating predictive models that improve forecasting accuracy. Proven ability to collaborate with cross-functional teams and deliver data-driven insights that drive revenue growth and operational efficiency.
Data Visualization
Tableau & Power BI
Machine Learning techniques
Data Warehousing
Business Intelligence (BI) tools
Predictive Modeling
Data Mining - Rapid Miner
ETL (Extract, Transform, Load) processes
Python programming
R programming
Microsoft Excel
SWOT Analysis
Teamwork
Project Management
Critical Thinking
Problem-Solving
Customer Service and Problem-Solving
Team Handling
Business Development
Sales and market development
Market and competitive analysis
Competitive Intelligence Analysis
Consumer Behavior Insights
Marketing strategy
Qualitative Research
Data Modeling
Campaign Management
Sales Forecasting
Data Validation
Business Process Mapping
Enhancing Unmanned Aerial Vehicle (UAV) Security.
Machine Learning Approaches for Intrusion Detection and Computational Dependency Analysis in Encrypted WiFi Traffic. Use of machine learning techniques to enhance the security of unmanned aerial vehicles (UAVs). Focusing on encrypted WiFi data, the research delves into machine learning models such as XGBoost, AdaBoost, Logistic Regression, Feedforward Neural Networks (FFN), and Recurrent Neural Networks (RNN) for UAV communication to mitigate vulnerabilities. A novel approach in this study is the integration of auto encoders for efficient dimensionality reduction and the use of graph networks for advanced intrusion detection.
Captain of Collage Team - Cricket & Football
Head Student Union & Cultural Committee
Winner - Gaming Competition
IT Quiz Academic Achievement Award
Gaming Streaming - PS
Movies
Music
Social Media
Travelling