Adesh Mishra
Principal Business & Data Strategist | Driving organisational transformation and quantifiable growth through strategic data insights and optimised operational frameworks.
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About Me
As a seasoned Business & Data Analyst, I leverage advanced analytical techniques and strategic insights to drive measurable business outcomes. My core competency involves transforming intricate data landscapes into clear, actionable strategies that significantly enhance operational efficiency and foster informed, executive-level decision-making across diverse organizational functions.
Expertise
A highly analytical and results-driven Business & Data Analyst with 3.5 years of progressive experience in translating complex data into strategic business intelligence. Leveraging proficiency in a comprehensive suite of analytical tools, including Power BI, Tableau, SQL, Python, BigQuery, and Adobe Analytics, to architect and deliver sophisticated dashboards, comprehensive reports, and robust business intelligence solutions that address critical business challenges.
Impact
Demonstrated success in optimizing critical data pipelines through the implementation of automated ETL workflows, establishing rigorous data governance frameworks, and engineering high-impact, KPI-centric dashboards. These strategic initiatives have consistently contributed to significant enhancements in organizational efficiency and have demonstrably empowered strategic decision-making across diverse industry sectors and extensive client portfolios.
30%
Data Integrity Uplift
Achieved a substantial 30% uplift in data integrity via optimized ETL automation and rigorous validation protocols.
3.5
Years of Experience
Extensive domain expertise in advanced business intelligence and strategic analytics.
18%
Customer Attrition Reduction
Mitigated customer attrition by 18% through insightful retention analytics and the implementation of proactive dashboard solutions.
Eager to secure a strategic role that demands immediate, high-value contribution, applying profound expertise in advanced analytics and business intelligence to cultivate data-centric strategies and deliver substantial, measurable value, consistently achieving business objectives for innovative, growth-oriented enterprises.
Educational Background
ICFAI Business School
Master of Business Administration (MBA)
Concentration in Strategic Marketing and Operational Leadership
February 2020 - February 2022
Cultivated a profound command of strategic business imperatives, advanced operational management principles, and sophisticated market intelligence frameworks, fostering a holistic executive perspective essential for driving enterprise growth.
Guru Nanak Khalsa College
Bachelor of Information Technology
Specialization in Quantitative Data Analytics
2017 - 2019
Established a robust technical foundation in advanced programming paradigms, intricate database management systems, and rigorous statistical analysis methodologies, critical for generating data-driven strategic insights.
Current Role Experience
TELUS Digital - Business Intelligence Specialist
April 2025 - August 2025 (5 months) | Ahmedabad, Gujarat, India
01
Dashboard Development & Strategic Insight
Orchestrated the design and ongoing refinement of high-impact analytical dashboards in Power BI and Tableau, facilitating real-time strategic insights and streamlining cross-functional reporting mechanisms to optimize executive decision-making processes.
02
Advanced Data Analytics & Optimization
Executed in-depth analysis of complex, large-scale datasets, leveraging advanced SQL querying, BigQuery capabilities, and robust Excel modeling to monitor and evaluate key performance indicators (KPIs), driving the optimization of digital performance metrics across diverse business units.
03
Process Automation & Efficiency Gains
Pioneered the automation of critical reporting functions and optimized ETL (Extract, Transform, Load) workflows, boosting operational efficiency by over 30% through the strategic implementation of Python for sophisticated data cleansing and rigorous statistical analysis.
04
Cross-functional Data Strategy & Unification
Fostered synergistic collaboration across various organizational teams and stakeholders on the development of robust data models, precise metric definitions, and cohesive reporting strategies, by integrating Azure-based solutions, MySQL databases, and diverse cloud data sources to ensure enterprise-wide data consistency and unified strategic reporting.
Previous Experience
Course5i - Data Analyst
April 2022 - April 2025 (3 years, 1 month) | Airoli
1
Strategic Data Ingestion & Pipeline Optimization
Spearheaded the development and optimization of scalable ETL pipelines, strategically integrating high-volume data from diverse external sources (e.g., Google APIs, YouTube, Reddit) through advanced APIs, sophisticated web scraping, and automated export functionalities, thereby ensuring comprehensive and efficient data acquisition for business intelligence.
2
Advanced Data Transformation & Quality Assurance
Executed rigorous data transformation and cleansing protocols on extensive datasets, leveraging Python (Pandas & NumPy), sophisticated Excel functionalities, and custom automation scripts to ensure superior data quality, integrity, and consistency, directly enhancing the reliability of subsequent analytical outputs.
3
Performance-Driven Query Optimization
Engineered and refined complex SQL queries across critical data platforms including Azure, SQL Server, and BigQuery. These optimizations significantly enhanced the processing efficiency of large-scale Google Analytics and Adobe Analytics datasets, accelerating insights delivery by an estimated 25% for key stakeholders.
4
Comprehensive Data Architecture & Modeling
Designed and implemented robust fact and dimension tables, establishing a foundational data architecture crucial for comprehensive data modeling. This strategic framework facilitated accurate KPI reporting and advanced analytical capabilities within Power BI and Tableau dashboards, empowering data-driven decision-making.
Key Project Achievements
Intel-Chipset by Global Clients (Apr 2022 - Apr 2025)
Customer Retention Dashboard Development
Developed and deployed comprehensive Power BI and Tableau dashboards to analyze churn metrics, leading to a substantial **18% reduction** in customer attrition. This was achieved through the implementation of advanced early warning indicators and predictive analytics capabilities.
Strategic Marketing Funnel Analytics
Designed and implemented Power BI-driven marketing funnel analytics, providing crucial insights into conversion rates across various lead stages. This initiative resulted in a **12% enhancement** in campaign targeting accuracy and optimized return on investment (ROI).
Advanced Web Traffic Intelligence
Orchestrated the integration of GA4 and comprehensive web event data within BigQuery and Tableau, establishing a robust framework for real-time traffic source analysis. This enhanced marketing attribution capabilities by **25%**, providing a clearer understanding of user journey effectiveness.
ETL Pipeline Automation & Efficiency
Architected and automated data ingestion processes from REST APIs and flat files utilizing Python and Google Cloud Platform (GCP). This strategic automation mitigated manual overhead by **40%** and significantly improved data reliability and consistency across all platforms.
Facilitated high-impact dashboard workshops for over **20 non-technical stakeholders**, thereby increasing self-service Business Intelligence (BI) adoption by **30%** through structured training and comprehensive support programs.
Internship Experience
Kantar - Market Research Intern
February 2021 - May 2021 (4 months) | Mumbai, Maharashtra, India
Brand Performance & Competitive Intelligence
Orchestrated comprehensive monthly analysis of cross-category brand penetration and critical retail key performance indicators (KPIs), delivering actionable intelligence that informed strategic market adjustments and enhanced competitive positioning across diverse product segments.
Advanced Digital Data Acquisition
Spearheaded primary data acquisition utilizing advanced digital platforms and tablet-based methodologies, thereby guaranteeing robust data integrity and instantaneous accessibility for comprehensive analytical reporting and facilitating agile strategic decision-making.
Strategic Comparative Analysis
Executed rigorous comparative data analysis across defined temporal frameworks, discerning critical market trends and emergent patterns that profoundly informed strategic initiatives for client brand optimization and enhanced market positioning, driving elevated performance.
Digital Audience Engagement Analytics
Delivered comprehensive Web Audience Measurement (WAM) services, providing critical insights into digital engagement patterns and optimizing online brand performance metrics to enhance digital strategy efficacy.
Technical Expertise
Programming Languages
  • SQL ●●●●● – Expertise in advanced query optimization for efficient data retrieval and performance enhancement, critical for large-scale data operations.
  • Python ●●●●○ – Proficient in leveraging Pandas and NumPy for complex data manipulation, statistical modeling, and machine learning algorithm development, driving actionable insights and analytical solutions.
Business Intelligence Platforms
  • Tableau ●●●●○ – Developing sophisticated data visualizations and interactive dashboards to translate complex datasets into strategic insights for executive decision-making.
  • Power BI ●●●●● – Designing and deploying dynamic business intelligence solutions that provide comprehensive performance monitoring and facilitate data-driven strategic planning.
  • Looker Studio ●●●●○ (Intermediate-Advanced) – Crafting impactful and accessible reporting solutions, ensuring clear communication of key metrics and analytical findings to diverse stakeholders.
  • Adobe Analytics ●●●●○ – Advanced proficiency in analyzing digital engagement patterns and optimizing online brand performance metrics to enhance digital strategy efficacy.
Cloud Infrastructure & Services
  • Google Cloud Platform (GCP) ●●●●○ – Architecting and managing scalable cloud-native solutions for robust data processing, storage, and advanced analytics initiatives.
  • BigQuery ●●●●● – Expert in leveraging BigQuery for large-scale data warehousing, real-time analytics, and complex data querying within the Google Cloud ecosystem.
  • AWS (S3, Athena, EC2) ●●●○○ – Implementing resilient cloud infrastructure, including secure object storage, serverless query execution, and scalable compute instances, to support enterprise data ecosystems.
  • Azure ●●●●○ – Utilizing Microsoft Azure's comprehensive suite of data services for secure, compliant, and efficient data management and analytical operations.
Professional Credentials
Core Competencies
Data Analysis
Leveraging advanced statistical methodologies to derive actionable insights, thereby informing strategic decision-making processes.
Data Visualisation
Designing and deploying sophisticated interactive dashboards and comprehensive reporting frameworks that enhance executive-level data interpretation and strategic foresight.
Business Intelligence
Architecting robust business intelligence solutions that translate complex data into pivotal strategic assets, optimising organisational performance and competitive advantage.
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