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Senior Analyst with 7+ years in Business Intelligence & HR Analytics
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Data-driven Data Analyst Specialist with several years of experience, including 3+ years in recruitment analytics and 1+ year in data analysis. Certified in Python, SQL, and Data Visualization, with a strong foundation in HR metrics, dashboard development, and process optimization. Adept at transforming raw data into actionable insights to support strategic workforce decisions. Proven ability to automate reporting, enhance hiring efficiency, and visualize key trends.
G. H Raisoni College of Engineering and Management, Pune
Bachelors of Engineering · Electronic and Telecommunication
August 1, 2012 – June 30, 2016
Kavya Infoweb Pvt lmt
Data Analyst
September 1, 2025 – Present
Pune, Maharashtra, India
Learn-vista Pvt Ltd
Data Analyst Intern
September 1, 2024 – August 1, 2025
Pune, Maharashtra, India
ETeam Inc.
Senior Technical Recruiter
February 1, 2022 – May 1, 2024
Noida, Uttar Pradesh, India
Alois Staffing Inc.
Senior Technical Recruiter
January 1, 2021 – February 1, 2022
Ahmedabad, Gujarat, India
Prime Consulting Inc.
Senior Technical Recruiter
July 1, 2018 – January 1, 2021
Pune, Maharashtra, India
HR Analytics Dashboard using Power BI
June 30, 2026 – Present
Data Preparation: Imported raw HR data into Power BI and performed data cleaning with Power Query, ensuring accuracy and consistency for analysis. Metric Development: Created essential HR metrics like headcount, average leave balance, and average salary using Power Pivot to derive actionable insights. Data Enrichment: Enhanced datasets by adding calculated columns (e.g., employee first name, age groups), enabling more granular analysis. Insightful Analysis: Identified correlations between salary and educational qualifications, uncovering trends to inform strategic HR decisions. Top/Bottom Staff Analysis: Applied visual filters to rank and analyze the top and bottom-paid employees in each job category. Visual Customization: Customized Power BI visuals, modifying colors, axes, labels, and legends to create user-friendly, professional reports. Interactive Dashboard Design: Designed an interactive monthly HR dashboard using Power BI, enabling stakeholders to monitor key metrics in real-time. Card Visuals: Utilized the "NEW" card visual in Power BI to showcase critical performance indicators prominently.
Banking Management System (Python + SQL Server)
June 30, 2026 – Present
Designed and implemented a banking management system using SQL Server for backend and Python (Tkinter) for frontend GUI. Created database schema, tables, and triggers for customer accounts, balance updates, and automated logging of transactions. Developed CRUD operations (Add, View, Update, Delete customers) and trigger-based logging system to track account activities. Integrated Python Tkinter GUI with SQL Server using pyodbc, enabling real-time interaction with the database. Delivered a user-friendly application to manage customer accounts and maintain audit logs, showcasing ERP-style workflows.
View ProjectPython 101 for Data Science
Learnvista
January 1, 2025 – Present
Data Visualization with Cognos Dashboard Embedded
Learnvista
January 1, 2025 – Present
Statistics 101
Learnvista
January 1, 2025 – Present
Data Analyst Certification
Learnbay
January 1, 2025 – Present
SQL Intermediate
HackerRank
January 1, 2025 – Present
Python for Data Analysis
Learnbay
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's background shows a significant career transition from technical recruiting to data analysis. While their recent roles and projects align well with a Data Analyst position, the 'Senior Analyst' target role might require more depth in advanced statistical modeling, predictive analytics, or system design for data pipelines, which are not extensively highlighted. The project diversity is somewhat limited to HR analytics and a basic banking system. However, the certifications and continuous learning indicate a strong drive for skill development, which is a positive cultural fit aspect. The candidate's experience in recruitment analytics using Power BI shows an ability to apply data analysis in different business contexts.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills through their project work and experience in developing data-driven insights. Their experience in coordinating between data, frontend, and backend teams suggests good collaboration and communication skills. The transition from a recruiting background to data analysis indicates adaptability and a proactive learning attitude. The focus on documenting data definitions and transformation logic points to an understanding of operational best practices for scalability and maintenance.