Pranjal Shandilya

Business Development Executive

Dubai, United Arab Emirates7 yrs 8 mos experience
Most Likely To Switch

Key Highlights

  • Expert in advanced analytics and machine learning.
  • Proven track record in driving data-informed decisions.
  • Skilled in creating impactful dashboards and reports.
Stackforce AI infers this person is a Senior Data Professional specializing in SaaS analytics and business intelligence.

Contact

Skills

Core Skills

Business Intelligence (bi)Data AnalyticsMachine LearningRequirements Analysis

Other Skills

A/B TestingAWS SageMakerAgile MethodologiesAmazon S3Business ReportingChurn ManagementConfluenceCustomer Relationship Management (CRM)Customer Segmentation StrategyDBeaverDashboard BuildingData AnalysisData MiningData ModelingData Reporting

About

I’m a results-driven Senior Data Professional with extensive experience leveraging advanced analytics, machine learning, and business intelligence to drive measurable business impact. Skilled in SQL, Python, Power BI, and Snowflake, I specialize in turning raw data into strategic insights that fuel growth, optimize customer success, and reduce churn. With a strong foundation in statistical analysis, predictive modeling, and CRM data analytics (Salesforce, Marketing, and Product data), I have successfully delivered dashboards and machine learning solutions. Passionate about strategy, LLMs, and big data technologies, I collaborate cross-functionally with product, marketing, and revenue teams to drive data-informed decisions. Always eager to solve complex challenges and unlock new business value through data. Let’s connect! Key Skills: • Business Intelligence (BI) • Data-Driven Decision Making • Product Analytics • Sales Analytics • Marketing Analytics • Customer Success Insights • Churn Prediction • Conversion Optimization • Dashboarding (Power BI, Google Data Studio) • SQL | Python | Snowflake | Excel • Machine Learning | Predictive Modeling • K-Means Clustering | XGBoost | Feature Selection • A/B Testing | Experiment Design • ETL | Data Pipelines | AWS | S3 | PostgreSQL • Cross-Functional Collaboration • SaaS Analytics • KPI Tracking and Reporting • Data Storytelling • Stakeholder Management • B2B Product Analytics • Cost Optimization Analytics • SaaS | Tech Industry

Experience

7 yrs 8 mos
Total Experience
1 yr 6 mos
Average Tenure
2 yrs 6 mos
Current Experience

Easygenerator

3 roles

Staff RevOps Analyst

Feb 2026Present · 4 mos · Dubai, United Arab Emirates · On-site

Senior RevOps Analyst

Mar 2025Feb 2026 · 11 mos · Dubai, United Arab Emirates · On-site

  • Building BI and Data Solutions at scale
  • Strategic Ad-hoc Analysis
  • Business questions to Analytical requirements and implementations
  • Moving the needle from Descriptive to Prescriptive and Predictive analytics
  • Creating Custom reporting using automations capabilities like Power Automate and PBI Report Builder
  • Adding value to the Commercial operations using advanced analytics and support in dashboard development to drive insights driven product strategy
Project ManagementData AnalyticsStrategic PlanningBusiness Intelligence (BI)

Senior Data Science Specialist

Nov 2023Feb 2025 · 1 yr 3 mos · Dubai, United Arab Emirates · On-site

  • Conducted in-depth product analytics utilizing the AAARR framework, collaborating with PMs and the Head of Product to drive analytics-led growth strategies and feature optimization.
  • Gathered requirements from product teams for the data team, supporting PMs in shaping the product feature roadmap with a data-driven approach.
  • Created comprehensive dashboards and deployment pipelines in PowerBI to monitor key performance indicators and the North Star Metric, providing critical insights for product team.
  • Leveraged data to analyze customer growth and success metrics to enhance engagement and retention strategies.
  • Performed revenue analytics to identify key drivers and optimize financial performance, contributing to overall business growth.
  • Deployed Views and Snapshots to GitHub.
  • Utilized Snowflake Cortex and ML function to generate new data points using LLM capabilities of snowflake.
  • Developed and implemented advanced machine learning models and algorithms, with a focus on statistical modeling, customer segmentation, and churn prediction to support data-driven decision-making.
  • Utilized Hockeystack data to optimize budget spends on marketing campaigns, increasing outbound reach by implementing statistical models to prioritize leads
Data MiningMicrosoft Power BIPython (Programming Language)Statistical Data AnalysisGitTeam Collaboration+19

Pangea tech

Senior Analyst (Data Science)

Sep 2022Oct 2023 · 1 yr 1 mo · Greater Bengaluru Area · On-site

  • Understanding business, Cleaning data and building modular scripts for the business using python.
  • Solving Logistics ,Transportation and Supply Chain Gaps by deep diving into different data sources
  • Creating data model & pipeline using Amazon S3 bucket and Postgressql using Python and PgAdmin, to make data readily consumable by dashboards and ML models.
  • Building Industry grade KPI metrics to be presentable on Power BI dashboards for different verticals for a Fortune 500 client (Aditya Birla Group GDNA) to generate actionable insights and decision making.
  • Building Scalable Machine Learning models to predict business requirements (EDA, Feature Engineering, Boruta, Optuna/Hyperopt for Hyperparameter tuning etc.) and deploying models to client server using Oracle VM and Cloud compute capabilities.
  • Optimising queries and ML codes to reduce time complexity of the model run time.
  • Creating deployment pipeline using Azure VM and Putty to integrate ML model on a server and calling model using APIs to generate forecasts. (CI/CD)
  • Documenting and maintaining clear versions of code commits, client interaction, data models etc on Git, Jira and Confluence.
  • Driving Project timelines and End to End Project Execution
Microsoft Power BIPython (Programming Language)Statistical Data AnalysisGitTeam CollaborationLightGBM+21

Vrize

Business Data Analyst

Mar 2022Sep 2022 · 6 mos · Bangalore Urban, Karnataka, India · Hybrid

  • New Product development and Planning of e-commerce website from scratch of a US Healthcare giant (Fortune 500) (Henry Schein)
  • Refining User story and mapping to test cases using UX/UI input analysis
  • Requirement elicitation for new User stories & Clarification handling from business and clients
  • Work effectively in collaboration with other team members, partners and other support functions when required and to ensure implementation of appropriate unit and module testing; detect, report, investigate and fix defects in the application
  • Translate stakeholder requirements into different tangible deliverables such as functional specifications, EPIC, user stories, workflow/process diagrams, data flow/data model diagrams.
  • Tech Stack: Figma, JIRA, Kanban, Confluence, Mixpanel, Excel, SQL
Team CollaborationConfluenceRequirements AnalysisStorytellingMicrosoft ExcelKey Metrics+9

Fractal

Decision Scientist

Jul 2021Feb 2022 · 7 mos · Bangalore Urban, Karnataka, India · Hybrid

  • Generating and deep diving into customer spend patterns and provide actionable Insights using Nielsen Panel data.
  • Net Revenue Management (Unilever) CPG Industry (Brand Positioning, Category Growth, Strategic Pricing, Pack & Price Architecture).
  • Food & Refreshment Analytics
  • Fabric Solutions Analytics
Python (Programming Language)Statistical Data AnalysisTeam CollaborationThinkcellData VisualizationStorytelling+12

Renault group

2 roles

Product Analyst

Jul 2018Aug 2020 · 2 yrs 1 mo

  • Writing SQL queries for efficient extraction and cleaning of large-scale vehicle data from global databases. Ensures data accuracy and consistency for subsequent analysis and reporting.
  • Utilized Excel for data analysis techniques to identify trends, patterns, and anomalies within the vehicle data. Generates actionable insights to inform product development, improve performance, and enhance customer satisfaction.
  • Developed and deployed aftersales diagnostic codes and procedures to assist in troubleshooting vehicle issues and providing effective solutions.
  • Created clear and informative data visualizations to effectively communicate findings to stakeholders and facilitate decision-making.
Microsoft Power BIStatistical Data AnalysisTeam CollaborationRequirements AnalysisChurn ManagementData Reporting+9

Research And Development Engineer

Jul 2017Jun 2018 · 11 mos

  • • Responsible for technical documentation of aftersales Diagnostic procedures

Indian railways

Summer Intern

Jun 2016Jul 2016 · 1 mo · Varanasi, Uttar Pradesh, India

  • Worked in Engine Erection shop, Loco Assembly shop, Loco Frame Shop, Sub Assembly Shop during 4 weeks of my technical training as an intern.

Bharat sanchar nigam limited

Intern

Dec 2015Jan 2016 · 1 mo · Patna Area, India

  • Worked on Signal Conditioning and Helped with installation of new devices

Education

Praxis Business School

Post Graduate Program — Data Science & Machine Learning (Full Time)

Aug 2020May 2021

Manipal Institute of Technology

Bachelor of Technology - BTech — Automobile Engineering

Jul 2013May 2017

Kendriya Vidyalaya

Secondary School — Science

Jan 2003Mar 2013

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