NonProfit Fundraising Visualization with Tableau
→
Summary
Designed interactive Tableau visualizations to analyze fundraising metrics, financial trends, and investment patterns for funding objectives.
Highly analytical Data Science professional with 3+ years of experience in IT infrastructure and network engineering, transitioning expertise to data-driven solutions. Proven ability to optimize systems, troubleshoot complex issues, and enhance operational efficiency by up to 20% for 500+ users. Adept in Python, SQL, Machine Learning, and NLP, with hands-on experience developing predictive models and interactive dashboards for business insights.
Project Engineer
New Delhi, Delhi, India
→
Summary
Led system optimization and administration for a 500+ user environment, enhancing performance and security through data-driven analysis.
Highlights
Optimized system performance for 500+ users, identifying bottlenecks and improving efficiency by 20% through data-driven analysis.
Administered robust user access controls, boosting data security by 99% through effective permission management and auditing.
Troubleshot and resolved critical system issues with senior engineers, achieving 95% SLA compliance and 99.9% uptime.
Developed and maintained comprehensive system documentation and knowledge bases for 500+ users, improving IT staff efficiency.
Assistant Engineer
New Delhi, Delhi, India
→
Summary
Analyzed large-scale network performance data to identify and resolve issues, ensuring high network uptime and stability for critical operations.
Highlights
Analyzed large-scale network performance data, identifying recurring issues and reducing alarms by 75% through trend analysis and optimization.
Conducted root cause analysis using diagnostic tools and performance datasets, ensuring 99.9% network uptime and stability.
Proactively monitored networks and analyzed data backups, ensuring 99.9% operational continuity and preventing data loss.
Generated and analyzed detailed network performance reports and dashboards to provide actionable insights and inform strategic decisions.
→
Postgraduate Diploma
Data Science and Analytics with Machine Learning
Grade: 72.5%
→
Postgraduate Diploma
IT, Systems and Network Security, Ensuring secure data infrastructure
→
B.Tech
Electronics and Communication Engineering
Grade: 63.4%
→
HSC
Higher Secondary Certificate (HSC)
Grade: First Class, 75.6%
→
SSC
Secondary School Certificate (SSC)
Grade: First Class, 8/10 CGPA
Python, NumPy, pandas, SQL, Machine Learning (Regression, Classification, Clustering, deep learning), NLP, Data Cleaning and Preprocessing, Trend Analysis, Root Cause Analysis.
Tableau, Power BI, Seaborn, Matplotlib, Excel.
Leadership & Collaboration, Communication, Problem-Solving, Adaptability, Time Management.
→
Summary
Designed interactive Tableau visualizations to analyze fundraising metrics, financial trends, and investment patterns for funding objectives.
→
Summary
Developed an NLP-driven machine learning model to predict e-commerce item categories from titles, deployed as an interactive Streamlit web application.
→
Summary
Created an interactive Power BI dashboard to analyze retail sales trends and provide actionable business insights.