A*****h

Atul Singh – Data Analytics & Research Enthusiast
I am a Bachelor of Computer Applications (BCA) graduate from Saurashtra University, with a strong foundation in data analytics, research, and business intelligence. My expertise includes data collection, analysis, visualization, and predictive modeling using tools like SQL, Python, Power BI, Tableau, and Excel. I am eager to apply my analytical and research skills in a professional setting to contribute to data-driven decision-making.

Key Skills:
Data Analysis & Predictive Modeling
SQL (Database Queries, ETL, Data Validation)
Python (Data Processing, Visualization, Machine Learning)
Power BI & Tableau (Dashboard Development, Reporting)
Microsoft Excel (Data Automation, Pivot Tables)
Research & Literature Review
Internships:
Data Analyst Intern – Oasis Infobyte

Developed dashboards and ETL pipelines using SQL and Power BI.
Conducted predictive analytics and trend analysis.
Data Analyst Intern – YBI Foundation

Processed large datasets and built SQL-based data models.
Created trend analysis dashboards to improve reporting accuracy.
Projects:
Spotify Music App Analytics – Optimized SQL queries and structured databases for better performance.
Netflix Content Analysis – Developed Power BI dashboards to analyze content trends.
Bank Customer Churn Prediction – Created a machine learning model to identify at-risk customers.
Certifications:
Power BI Certification – Simplilearn
Data Analytics Internship – YBI Foundation
Data Analytics & Visualization Simulation – Accenture
Data Analytics Job Simulation – Quantium
Career Aspirations:
I aim to build a career in data analytics, research, and business intelligence, applying data-driven insights to solve complex problems. My goal is to work in a research-oriented environment where I can contribute analytical skills to support data-driven decision-making.

Why I am a Strong Candidate:
Practical Experience: Hands-on experience through internships where I worked on real-world data projects, improving data analysis and visualization techniques.
Technical Proficiency: Strong command of SQL, Python, Power BI, Tableau, and Excel, essential for research and analytics.
Problem-Solving Skills: Ability to process and analyze large datasets to generate actionable insights for better decision-making.
Research Ability: Experience conducting literature reviews, gathering data, and summarizing key findings to support analytical research.
Continuous Learning: Certified in Power BI, data analytics, and business intelligence, demonstrating my commitment to staying updated with industry trends.
Attention to Detail: Strong ability to validate and clean data, ensuring accuracy and reliability in reporting and decision-making.
With my analytical mindset, technical skills, and ability to conduct detailed research, I am confident that I can add value to any research and data analytics team.