R

Rajat Bajaj

Business Development Executive

Bellevue, Washington, United States3 yrs 7 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Expert in data analysis and business intelligence.
  • Proven track record in competitive intelligence.
  • Strong programming skills in Python and SQL.
Stackforce AI infers this person is a Data Analyst with expertise in Business Intelligence and Competitive Intelligence.

Contact

Skills

Core Skills

Data AnalysisPricing StrategyBusiness IntelligenceCompetitive IntelligenceData Science

Other Skills

ARIMAAnacondaAnalyticsAndroid DevelopmentArtificial Intelligence (AI)Business AnalysisBusiness CommunicationsBusiness StrategyCCitrixCloud ComputingCompetitive AnalysisCore JavaCross-Functional Team ManagementCross-team Collaboration

About

I am a Data & Business Analyst with a strong foundation in SQL, Python, R, and Tableau, seeking opportunities to turn complex datasets into actionable insights. With prior experience in data engineering, business intelligence, and competitive intelligence, I thrive on uncovering meaningful patterns that drive strategic decisions. ‣ Landmark Group: Spearheaded the Competitive Intelligence department, automating competitor data extraction and analysis using Python, R and Excel. ‣ Nutanix: Leveraged Python, SQL and Tableau to develope end-to-end dashboards for key stakeholders, querying vast internal datasets that improved operational efficiency. ‣ Currently pursuing Master’s at Duke University - Fuqua School of Business to refine my expertise in data analytics and strategy to bridge the gap between data and impactful business outcomes. Skills & Specialties: 📊 Data Analysis | SQL | Python | R | Tableau | Business Intelligence 📈 Predictive Modeling | Machine Learning | Data Visualization 🔍 Competitive Intelligence | Strategy | Problem-Solving

Experience

3 yrs 7 mos
Total Experience
1 yr 2 mos
Average Tenure
--
Current Experience

Napa auto parts

Student Data Analyst - Capstone Project

Mar 2025Apr 2025 · 1 mo · Durham, North Carolina, United States · Remote

  • Developing time series models (ARIMA, TBATS) with seasonality to forecast three competitors’ prices, delivering pricing recommendations for 80K+ products
  • Analyzed and cleaned 20M+ rows of SKU-level pricing data using Python and R; conducted EDA to identify trends, inform feature engineering, and build reliable forecasting pipelines
Price ForecastingTime Series ForecastingPricing StrategyCompetitive AnalysisPython (Programming Language)ARIMA+6

Nutanix

Business Data Analyst II

Mar 2022Jun 2024 · 2 yrs 3 mos · Bengaluru, Karnataka, India · On-site

  • Designed and automated Employee Management dashboards using SQL and Tableau, enabling performance tracking for 2,500+ staff and saving 2,000+ manager hours annually via strategic process enhancements
  • Received ‘Above and Beyond' award for improving global support call routing process by analyzing 500M+ call flow records, SRE coverage and queue logic, reducing average customer wait times by 30%
  • Automated Quarterly Business Review report using SQL, Python and Tableau to track Time to Resolution(TTR) across 9 products, reducing manual operations effort from 5 days to 10 minutes saving 160 hours annually
  • Implemented a one-stop Support Renewal dashboard to track key contract extension metrics, streamlining ~50 monthly renewal decisions, saving 50 hours annually and preserving $3M+ in recurring revenue
  • Facilitated bi-weekly Agile sprint meetings for 15 cross-functional team members, overseeing JIRA prioritization, task assignment and backlog grooming, to ensure alignment across PMs, engineers, and data teams
  • Developed optimized SQL workflows to redesign Tableau dashboards with enhanced filters, layouts, and drill-downs, reducing support tickets by 20% and tripling adoption across product and support teams
Operations AnalyticsOperations SupportPython (Programming Language)SQLTableauPostgreSQL+16

Landmark group

Business Analyst

May 2021Mar 2022 · 10 mos · Bengaluru, Karnataka, India · Remote

  • Spearheaded Competitive Intelligence Solution to assess market dynamics and optimize pricing strategy for 3 Ecommerce verticals delivering end-to-end analytics from data scraping to price recommendations
  • Built weekly-price forecasting model using historical trend and elasticity analysis across 10,000+ SKUs, enabling data-driven pricing decisions that increased off-season profits by 6.5%
  • Delivered daily forecasting reports during White Wednesday campaign, partnering with Pricing and senior leadership to implement real-time price adjustments that drove 15% campaign sales over target
  • Collaborated with Pricing and Merchandising Teams to refine and deploy pricing logic, influencing price decisions for ~30% of all SKUs and support dynamic pricing and preserve margin targets
  • Automated web scraping across 3 competitor websites using BeautifulSoup, Selenium, Scrapy, and Requests, reducing manual data collection by ~90% and improving data freshness for weekly pricing decisions
  • Led pre- and post-analysis meetings with senior leadership and non-technical stakeholders, driving iterative improvements to pricing and assortment decisions across respective product categories
Price ForecastingPricing AnalysisWeb ScrapingPricing StrategyCompetitive IntelligencePython (Programming Language)+16

Wynk limited

Content Specialist

Oct 2020Apr 2021 · 6 mos · Gurugram, Haryana, India

  • Planning and envisioning the Indian & International video-on-demand content, Esports, Mobile Gaming on all tenants ready for Airtel’s OTT platforms.
  • Strategizing, planning, promotion and curation of all sporting events(India vs Australia cricket series - record stream-time, Australia Open, WWE etc) for Airtel Xstream.
  • Coordinating with suppliers to ensure the delivery of the right content for the right audience to match the demand and supply chain.
  • Spearheaded project for UEFA Champions League on Xstream encompassing planning, strategizing, promotion, marketing and curation.
  • Responsible for content layout for both Airtel Xstream and Thanks App.
  • Manage and curate content by studying and drawing insights from the data through Tableau for English, Hindi and other regional languages.
Strategic ThinkingMoEngageMicrosoft Excel

Qlipcast

Content Curator

May 2020Oct 2020 · 5 mos · New Delhi, Delhi

  • QlipCast is social network mobile app for audio content. Users can listen to podcasts on the app, bookmark, and clip their favourite parts.
  • My responsibilities as an Intern includes finding valuable content that could be Clipped as part of podcasts, verify their quality and report those Clips to the common database.

Indian institute of technology, kanpur

Student Research Associate

Jun 2019Jul 2019 · 1 mo · Kanpur Area, India

  • MALWARE ANALYSIS OF APK'S USING MACHINE LEARNING :
  • AndroidManifest.xml & .smali files of apk's are parsed to get
  • frequencies of android permissions & opcodes which are saved in
  • separate excel files. Weka is applied to build a classification model.
  • Accuracy obtained - 97.52%
  • Technologies Used : APKTool, Weka, Python Libraries (os, glob,
  • ElementTree, csv, pandas)
WekaPython (Programming Language)Malware AnalysisMicrosoft ExcelData ScienceData Modeling

Guavus

Intern

May 2018Jul 2018 · 2 mos · Gurugram, Haryana 122008

  • > Worked in the Quality Assurance(QA) team
  • > Worked on several technologies for linting like Flake8, PyTest, PyLint.
  • > Additionally, worked on the Fabric 2.x module which is used to execute shell commands remotely over SSH.

Education

Duke University - The Fuqua School of Business

Master of Quantitative Management: Business Analytics — Business Analytics

Jul 2024May 2025

The NorthCap University

Bachelor of Technology - BTech — Computer Science

Jan 2016Jan 2020

Hansraj Model School

Science

Jan 2003Jan 2016

Stackforce found 100+ more professionals with Data Analysis & Pricing Strategy

Explore similar profiles based on matching skills and experience