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Senior Analyst with 3+ years in Power BI, SQL, Python, and AI tools
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Assessing your cultural and operational fit
Results-driven MIS Executive and Data Analyst with 3+ years of experience preparing Daily, Weekly, and Monthly MIS Reports, developing Power BI dashboards, and automating reporting processes to support management decision-making. Proven ability to analyze 80,000+ records/month with high accuracy across telecom and service operations. Skilled in Advanced MS Excel (VLOOKUP, XLOOKUP, INDEX-MATCH, Pivot Tables), Power BI, SQL, Python, and AI tools including ChatGPT and Microsoft Copilot for AI-driven reporting solutions. Currently pursuing PG Diploma in Big Data Analytics (CDAC Noida) with hands-on experience in machine learning and data pipelines. Adept at coordinating with multiple departments for data collection, ensuring data accuracy and database integrity.
CDAC Noida
Post Graduate Diploma in Big Data Analytics (DBDA) · Big Data Analytics
August 1, 2025 – June 30, 2026
LNCT Group of Colleges
Bachelor of Technology (B.Tech)
August 1, 2018 – June 30, 2018
S Factor Combine
MIS Executive (Data Analyst)
May 1, 2025 – August 1, 2025
Bhopal, Madhya Pradesh, India
VE Services Pvt. Ltd.
Operational MIS & Data Executive
May 1, 2022 – March 1, 2025
Mumbai, Maharashtra, India
ARKA Coaching Classes
Academic Instructor (Part-Time)
February 1, 2019 – December 1, 2021
Bhopal, Madhya Pradesh, India
Healthcare Insurance Fraud Detection
June 1, 2026 – Present
• Built a fraud detection model using Logistic Regression, Random Forest, and XGBoost on imbalanced datasets; applied feature engineering and preprocessing to optimize precision-recall performance. • Developed Power BI/Matplotlib visual dashboards to highlight high-risk claims and key fraud drivers, enabling data-driven decision support for risk management teams.
Workforce 360 - Employee Retention & Wellness Analytics
June 1, 2026 – Present
• Built an attrition prediction model using Logistic Regression and Random Forest; integrated Autoencoder-based anomaly detection to capture unusual employee behavior patterns. • Developed an interactive Streamlit dashboard for HR decision-making, transforming complex workforce data into actionable business insights and management reports.
Cultural Fit Analysis
The candidate's project diversity, including healthcare fraud detection and employee retention analytics, shows a broad interest in applying data skills to different business problems. Their experience in coordinating with multiple departments and managing data integrity aligns well with collaborative work environments. The pursuit of a Big Data Analytics diploma indicates a growth mindset and a desire to stay current with industry trends, which is a positive cultural fit.
Soft Skills & Operational Fit
The candidate demonstrates strong organizational skills through managing daily, weekly, and monthly reports, ensuring data accuracy, and coordinating with multiple departments. Their experience in automating processes suggests a proactive approach to efficiency. The project descriptions indicate an ability to translate complex data into actionable business insights, which is crucial for operational decision-making.