Jan 2023 – May 2025 · 2 yrs 4 mos · Noida, Uttar Pradesh, India · Hybrid

• Developed interactive Power BI reports and dashboards, transforming raw data into meaningful visualizations for business stakeholders. Collaborated with cross-functional teams to gather and analyze business requirements, ensuring accurate and relevant insights.
• Spearheaded the development of advanced analytics solutions, applying data science methodologies to reveal insights and predictions, while overseeing the complete lifecycle of data analysis projects, from requirements gathering to presentation of findings to key stakeholders.
• Analyzing clinical trial study data using tools such as Power BI, Python, Azure Synapse Analytics, and SQL
• Developing standard documentation for processes, including SOPs, User Guides, Testing Documents, and Bug Trial Documents
• Conducted exploratory data analysis to identify trends, patterns, and outliers. Prepared and presented reports, providing key insights to support strategic decision-making.
• Created and maintained Power BI reports and dashboards, integrating seamlessly with Azure services

Oct 2021 – Jan 2023 · 1 yr 3 mos

• Extract client claims and enrollment data from the server to prepare financial reports and data analysis on daily basis (SQL)
• Validation of data received from client, Data manipulation, Data cleaning and Data Management, Data Analysis (Python , Excel)
• Preparing Financial Report for end to end client with the use of US Healthcare data (CERT & IBNP)
• Hands- on experience in various data analysis project & data wrangling by using python libraries
• Data Visualization and preparation of Dashboard with the help of advance BI Tool and guide business teams to take actions quickly (Power BI , Power Query, DAX)
• Review the reports prepared by the team and delivered all the task with 100% quality and achieve all the TAT
• Coordinate with diverse stakeholders to gather needs and build analytics solutions to cater to business priorities
• Process Improvement, Root cause Analysis, reduce wastes from the process by using six sigma
• Project Management (Onshore Communication, Documentation, SIPOC, SOP, Test Client & Automation, Process Flow)
• Handling new project transitions basis client requirement from scoping to completion
• Allocating tasks to resources on daily basis and monitoring the completion of task. Continuous involvement in onshore calls and meetings for task queries and updates
• Successfully transitioned and delivered multiple projects (Legal Documentation Check (SOW), CSR, Rate Sheet Builder, and Client Invoice Audit). Completion with 12 FTE’s in both projects
• Identify manual work in process and apply industry level tool to automate manual work. Process improvement ideas, which reduce processing hours and improve productivity
• Root cause analysis (Six Sigma methodology) and deep dive analysis of certain business problem using advance analysis techniques and took preventive action and reduce risk

Dec 2019 – Oct 2021 · 1 yr 10 mos

Mar 2016 – Nov 2019 · 3 yrs 8 mos

May 2013 – Feb 2016 · 2 yrs 9 mos · New Delhi Area, India

• Combined data sources as necessary through analysis tools using SAS 9.2 and Analysis of product wise sales on monthly and weekly basis and provide MIS reports.
• Data Cleaning, sorting and transformation to improve understanding and analytic result by using SAS.
• Used advanced Statistical techniques to evaluate sales incentive for sales team on month basis.
• Provides Monthly and Quarterly business MIS reports with analysis to support business reviews
• Prepare Market Management CMD Review Report on monthly basis.
• Interpretation and analysis of Business Unit/Region Sales performance from centrally generated Sales reporting
• Prepare FSE Incentive Sheet on the basis of indivisible deployment by FSEs and getting required approval from management.
• Tracking Sales Report on weekly basis and prepare weekly conveyance sheet.
• Field attendance tracking and reporting Cross checking of Tour & Traveling conveyance and Local conveyance Amount Analysing sales data of past years to estimate future sales.