Mr Ritesh Rajput
Data Analyst
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About
I am Ritesh Kumar from Bihar, holding a Bachelor's degree in Computer Application. Recently, I completed a certification in Data Analytics from IVY Professional School, Kolkata, where I gained hands-on experience in SQL, Python (Pandas, NumPy), Excel (PivotTables, VLOOKUP), and Power BI. I have worked on projects involving data cleaning, analysis, and dashboard creation, developing a strong analytical mindset.
Eager to apply my skills in a data-driven environment to extract meaningful insights and support business decisions
Experience
Data Analyst & Compliance Specialist
Fraud Detection & Compliance: Identified anomalies and risks in large datasets (e.g., 10M+ records for election project, ₹50M+ transactions for Ferns and Petals), ensuring data integrity and regulatory adherence.
SQL & Automation: Optimized SQL queries (50% faster runtime) and built Power BI dashboards to automate KYC reporting, saving 15+ hours/month.
Stakeholder Collaboration: Created executive reports (PowerPoint, Power BI) to communicate insights, accelerating decision-making by 15%.
Process Improvement: Streamlined data cleaning workflows (20% efficiency gain) and standardized fragmented datasets for 100% compliance.
Key Strengths
Analytical: Strong pattern recognition for scam/phishing detection (e.g., flagged high-risk accounts).
Communication: Proven ability to translate technical findings into actionable insights for cross-functional teams.
Adaptability: Thrived in remote/virtual internships with strict deadlines (e.g., solved 10 SQL challenges under efficiency guidelines).
Tools: SQL, Power BI, Excel (Power Query, VLOOKUP), Python (pandas), Zapier/Make.com (automation).
Education
Bachelor of Computer Applications (BCA)
Sidho Kanu Murmu University , Jharkhand | 2023
Relevant coursework: Database Management, Statistics, Programming
Certification in Data Analytics
IVY Professional School, Kolkata | 2025
Gained proficiency in SQL, Python (Pandas, NumPy), Excel (Advanced Analytics), Power BI
Applied skills in real-world projects: Data cleaning, visualization, and dashboard creation
