Bapu Mahadev Bordekar

Business Development Executive

India2 yrs 8 mos experience

Key Highlights

Led time-series forecasting projects to optimize stock levels.
Increased marketing engagement by 15% through targeted campaigns.
Enabled 40,000+ users to access insights independently.

Stackforce AI infers this person is a Data Analyst with expertise in Retail and Marketing Analytics.

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Skills

Core Skills

Data AnalysisMachine LearningBusiness Intelligence (bi)Marketing AnalyticsSupply Chain ManagementBusiness AnalysisData Visualization

Other Skills

A/B TestingARIMAAnalytical SkillsAsanaAutoCADBRDClustering techniquesConversion OptimizationDecision TreesDeep LearningDocumentationElicitationExcelExploratory Data AnalysisFB Prophet

About

Certified Business Data Analyst with over 4 years of experience delivering actionable, data-driven insights to support strategic business decisions. Proficient in SQL, Python, Power BI, JIRA, and advanced machine learning techniques including ARIMA, Prophet, Wavelet, Decision Trees, and KNN. Key Achievements: 1. Led time-series forecasting projects using ARIMA, Prophet, and Wavelet to optimize liquor stock levels, significantly reducing stockouts across distribution points. 2. Applied clustering techniques (K-Means, K-Prototypes) for customer and product segmentation, enabling targeted marketing campaigns that increased engagement by 15%. 3. Enhanced operational efficiency by enabling 40,000+ users to access insights independently, reducing manual data requests by 60%. 4. Integrated and analyzed multi-source data (Google Analytics, CRM, sales) to measure campaign effectiveness and optimize marketing ROI via interactive dashboards. Skilled in requirements gathering, FRD/BRD documentation, and stakeholder management, with a proven ability to bridge the gap between technical teams and business units. Available for immediate joining.

Experience

2 yrs 8 mos

Total Experience

10 mos

Average Tenure

Current Experience

Manpowergroup

Business Data Analyst & AAR

Jul 2024 – Jul 2025 · 1 yr · On-site

(Deputed to Pernod Ricard Pvt Ltd)
Performed time-series forecasting using ARIMA, FB Prophet, and Wavelet to predict liquor sales and optimize safety stock levels across key distribution points. Applied clustering techniques (K-Means, K-Prototypes) to segment product categories by sales volume and seasonality, enabling efficient inventory planning and reducing stockouts during peak demand.
Automated sales and marketing reporting by leveraging Google Analytics, SQL, and Python to track and analyze user behavior on the Oracle platform. Monitored key metrics such as sessions, bounce rate, traffic sources, and goal conversions, resulting in data-driven recommendations that improved user engagement and marketing campaign performance.
Conducted exploratory data analysis (EDA) using Python to analyze business strategies and audience behavior, facilitating data-informed campaign improvements and lead generation optimization. Developed logic for automated reporting by mapping raw data across tables.
Enhanced operational efficiency by enabling 40,000+ users to independently access insights, reducing manual data requests by 60% and accelerating decision-making processes.

ARIMAFB ProphetWaveletK-MeansK-PrototypesGoogle Analytics+4

Felix advisory private limited

Business Data Analyst

Jul 2023 – Jul 2024 · 1 yr · Bengaluru, Karnataka, India · On-site

(Deputed to Pernod Ricard India Pvt Ltd)
Customer Segmentation & Targeted Marketing: Applied clustering techniques to segment customers based on purchase history and demographics, enabling targeted campaigns that boosted engagement by 15%.
Developed Power BI dashboards to visualize customer segments and monitor campaign performance across regions.
Supply Chain Analytics & Inventory Turnover: Analyzed inventory turnover rates and distribution lead times to identify supply chain bottlenecks. Recommended optimized reorder points and safety stock levels, reducing stockouts by 12% and improving delivery timelines.
Campaign Performance Measurement & Attribution: Integrated data from multiple sources (Google Analytics, CRM, sales) using SQL and Python to assess marketing campaign effectiveness. Created interactive reports to measure conversion rates, channel performance, and ROI, aiding the marketing team in optimizing budget allocation.

Clustering techniquesPower BISQLPythonGoogle AnalyticsData Analysis+1

Invicta esolutions private limited

Junior Data Analyst

Nov 2022 – Jul 2023 · 8 mos · South Goa, Goa, India · On-site

Assisted senior analysts in planning and tracking business analysis activities, maintaining documentation, meeting agendas, and action logs to ensure smooth stakeholder communication and timely project execution.
Designed and deployed a centralized dashboard using Google Sheets and Excel, automating sheets to consolidate company wide KPIs. This improved data visibility and saved 10+ hours weekly in manual reporting.
Supported exploratory data analysis (EDA) and trend monitoring using Python and basic machine learning techniques (e.g., linear regression) to identify patterns in agent performance and operational efficiency.
Collaborated with business teams to define user stories and manage product backlogs in Agile environments, ensuring analytics requirements were well-refined and aligned with project goals.

PythonGoogle SheetsExcelData AnalysisBusiness Analysis

Envision infotech

Data Analyst

Aug 2021 – Nov 2022 · 1 yr 3 mos · Remote · Remote

Supported senior analysts in preparing performance reports and dashboards to help track key business metrics across departments.
Used Python for basic data cleaning, visualization, and exploratory analysis (EDA), contributing to team insights for decision-making. Assisted in building simple visualizations and charts using tools like Excel, Matplotlib, and Seaborn to present trends and comparisons over time.
Gained exposure to introductory machine learning concepts (linear regression) during internal projects and training exercises using scikit-learn in Python.
Collaborated with the IT and analytics teams to ensure data was accessible, well-structured, and aligned with reporting needs.

PythonExcelMatplotlibSeabornData AnalysisBusiness Intelligence (BI)