Rahul Nikam

Associate Consultant

Pune, Maharashtra, India7 yrs 7 mos experience

Highly Stable

Key Highlights

Over $7 billion cost savings through data analysis.
Led data quality management initiatives at Google.
Increased sales by 25% through policy enhancements.

Stackforce AI infers this person is a Data Analytics expert with significant experience in Fintech and Automotive sectors.

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Skills

Core Skills

Data AnalyticsBusiness AnalyticsData Quality ManagementBusiness Analysis

Other Skills

Microsoft SQL ServerTableauGoogle AnalyticsGoogle Data StudioPythonSQLFinancial AnalysisExcelCustomer InsightCustomer EngagementGoogle PLXMicrosoft ExcelGoogle SheetsData WarehousingBusiness Intelligence (BI)

About

6+ years of Experience as Senior Analyst in Data Analytics, Business Analytics, Data Management, Project Implementations, Database Management, Data reporting, Data cleaning, Exploratory Data Analysis (EDA),Customer Insights, Gap Analysis, Deep dive (root cause) analysis Using Microsoft SQL Server, Advanced Excel, Tableau & Power BI, Google Data Studio, Google PLX.

Experience

7 yrs 7 mos

Total Experience

2 yrs 11 mos

Average Tenure

1 yr 9 mos

Current Experience

Capgemini

Senior Data Consultant

Aug 2024 – Present · 1 yr 9 mos · Pune, Maharashtra, India · Hybrid

Driving Performance Improvement:
Foster a data-driven decision-making culture to support continuous performance improvement.
Develop, implement, and oversee a comprehensive strategy for data mapping across various sources.
Collaborate with data analysts, scientists, and other stakeholders to establish common business definitions and standards.
Facilitate efficient data retrieval, analysis, and reporting based on Stakeholders requirement.
Stay updated on technical terminology related to finance operation in the Fintech industry and ensure its accurate integration into the data environment.

Microsoft SQL ServerTableauData AnalyticsBusiness Analytics

Google

Senior Data Analyst

Sep 2022 – Apr 2024 · 1 yr 7 mos · Bengaluru, Karnataka, India · Remote

1.Extract Data from Different data sources using SQL Queries and python scripts.
2.Data cleansing and data profiling of metadata extracted.
3.Building a centralized repository for Business Owner to make a discussion from analysis files.
4.Support the documentation and reporting of Data Quality issues, including dash building in Google Data Studio and ad-hoc reporting.
5.Execute Data Quality Management processes in-line with defined standards and process documentation.
6.Perform root cause/Deep dive analysis for Data Quality issues and feed into solution design where appropriate.
7.Escalate Data Quality issues to Data Quality Lead and other relevant business and IT stakeholders where required.
8.Used statistical methods to analyze data and generate useful business reports and customer insights.
9.Targeted result from this Activity is Covered 11 Product Area by Reviewing 10000+ Contracts by covering 80K+ documents, Which Helped Cost cutting ~$7Billion Spend due to Incorrect Budget controls, duplicate HC, No oversights for E2E Process which is controlled afterwards.
10.Prepare, clean, and analyze business process data for automation and validation. Developed and implemented a standardized data cleansing methodology, ensuring data accuracy and integrity for analysis. Reduced data validation time by 30% and improved data quality by 15%.
11.Work with Google Data Studio, PLX, Python and Google sheets to achieve project outcomes.
Create data load templates and manage enhancements/ changes to dashboards. Delivered weekly reports, turning data into actionable strategies for stake-holders. Making data clear and useful, one report at a time!

Google AnalyticsGoogle Data StudioPythonSQLData AnalyticsData Quality Management

Mercedes-benz india pvt. ltd.

Data Analyst

Jan 2018 – Apr 2022 · 4 yrs 3 mos · Pune, Maharashtra, India · On-site

Introduced new capabilities within the existing Policy’s.
Analysing and translating business needs into long-term solution
Analyse current ETL process, define and design new systems mainly with Microsoft SQL Server.
Developed Enhancements/Customization as per Use Cases.
Facilitated to create customer engagement and conducted in-depth analysis to find opportunities for policy’s enhancement.
Engaged directly with client to understand marketing objectives.
Provided Performance monitoring and present the insights through dashboards, visualization tools (Tableau, Excel) to briefly communicate the overall story to key shareholders.
Collaborate with data scientists and architects on several Projects requirements.
Helpful to formulate new policy that increased Sales of Preventive Maintenance up to 25% from Previous years.