Lavanya Raj

Business Development Executive

Bengaluru, Karnataka, India7 yrs 7 mos experience
Highly Stable

Key Highlights

  • Proven expertise in data-driven decision making.
  • Strong command over client communication and problem-solving.
  • Extensive experience with Fortune 100 companies.
Stackforce AI infers this person is a Decision Scientist specializing in data analytics for retail and marketing industries.

Contact

Skills

Core Skills

Data AnalyticsData VisualizationData Engineering

Other Skills

AlteryxAnalytical SkillsB2B MarketingBusiness AnalysisCC++CommunicationCustomer Behavior AnalysisData AnalysisData CollectionData ScienceDocumentationETLExploratory Data AnalysisExtract, Transform, Load (ETL)

About

Experienced Decision Scientist with a demonstrated history of working in the analytics services industry. Worked for few of Fortune 100 companies to provide them with the best solution of business problems and help them with data driven decision making.Have a great command over client communication, skilled in Requirement gathering, Problem Solving, Data & business Analytics, SQL and Tableau. I am an engineering professional with a Bachelor of Technology degree focused in Computer Science from Kalinga Institute of Industrial Technology, Bhubaneswar.

Experience

Citi

Senior Business Analyst

Nov 2024Present · 1 yr 4 mos · Bengaluru, Karnataka, India

Prescience decision solutions

2 roles

Analytics Consultant

Jul 2024Oct 2024 · 3 mos · Bengaluru, Karnataka, India

Senior Business Analyst

Jul 2021Jul 2024 · 3 yrs · Bengaluru, Karnataka, India

Ebay

Senior Business Analyst (AWF)

Oct 2021Oct 2024 · 3 yrs · Bangalore Urban, Karnataka, India

  • Tax Analytics

Mu sigma inc.

2 roles

Decision Scientist- Private Brand Marketing

Feb 2020Jul 2021 · 1 yr 5 mos

  • Working for a fortune 100 US Based Home Improvement Retailer and enabling them to design marketing strategies for multiple private brands through data analytics. Providing them with the one stop solution for tracking the performance of all the private labels. Analysing 'Who to Target', 'What To Target' and 'When To Target'.
  • Measuring Brand Performance: Built and maintained a tableau framework to analyse the performance of multiple private brands across various levels.
  • Deep dive into brand performance across different time periods
  • Analyzing the performance of sub products across various regions and channels
  • Market Basket Analysis across all the products of the private brands.
  • Customer Understanding: Built a tableau dashboard to analyze the customer behavior by assessing their recency criteria and the purchase pattern across different time frames.
  • Built a RFM framework to understand and define different customer loyalty segments
  • Product advertisement : Built an analytical tool to identify the most optimal combination of private brand and a product to be placed on the website for advertisement in a given time frame by implementing a Reach & Impact scoring methodology
  • Improved productivity of client space by mentoring, coaching and actively collaborating with stakeholders on relevant data analytics technique, market dynamics and insight generation
Data AnalyticsTableauData AnalysisMarket Basket AnalysisCustomer Behavior AnalysisData Visualization

Decision scientist-B2B Marketing

Jun 2018Jan 2020 · 1 yr 7 mos

  • Worked with a fortune 100 technology giant to help them achieve their B2B marketing goals by providing an end to end customer journey analysis.
  • Built and maintained an end to end account based marketing touch and engagement framework to understand performance of various marketing channels, movement of customers in the Marketing funnel across different line of business and marketing segments enabling data driven marketing strategies.
  • Helped the clients to plan out customer journey and aim for more efficient account based marketing by understanding the multi touch attribution through various marketing channels.
  • Maintained multiple Sales performance Tableau dashboards for different marketing segments and line of business.
  • Data procurement, standardisation and integration from multiple 3rd party marketing vendors, built semi automated ETL pipeline using FTP transfers, R and SQL.
Data AnalyticsETLSQLTableauData Engineering

Education

Kalinga Institute of Industrial Technology, Bhubaneswar

Bachelor of Technology — Computer Science

Jan 2014Jan 2018

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