Hello!

I'm Aveek Kundu

I am BI Developer and Automation Enthusiast skilled in data analytics, SQL, Azure, Power BI, and statistical modeling. I specialize in building automated data solutions, dashboards, and business insights that drive process improvement and strategic decision-making.
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Business Analyst

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I am a results-driven Data Analyst / Business Analyst with a strong background in data analytics, visualization, and digital transformation. My expertise spans SQL, Power BI, Azure, and Databricks, and I have delivered scalable solutions across industries including manufacturing, technology, and education. I bring a unique blend of technical proficiency and business acumen to translate complex data into actionable insights that drive growth.

Vision

To empower organizations with intelligent, automated, and insight-driven solutions that optimize decision-making and operational efficiency.

Mission

To leverage data engineering, business intelligence tools, and cloud platforms to build robust analytics systems that enhance business performance and deliver measurable impact.

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My Skills

Business Intelligence & Dashboarding

Developing interactive dashboards using Power BI and MicroStrategy to visualize KPIs, track performance, and support real-time decision-making.

Data Pipeline & ETL Automation

Automating complex ETL workflows with Python, Azure Data Factory, and Databricks to streamline data ingestion, transformation, and reporting.

Cloud Data Engineering (Azure)

Building scalable analytics solutions using Azure services such as Blob Storage, Synapse, SQL, and Logic Apps to manage structured and unstructured data.

SQL & Advanced Data Modeling

Writing optimized SQL queries, managing OLAP/OLTP systems, and designing normalized schemas to power accurate and efficient reporting.

Campaign & KPI Analytics

Analyzing marketing performance, forecasting revenue, and segmenting audiences using Power BI, Python, and A/B testing to optimize conversion strategies.

Cross-Platform Collaboration & Agile Delivery

Collaborating across teams using Agile, Jira, and SharePoint, ensuring timely delivery of data projects, stakeholder alignment, and iterative improvements.

InfoCepts LLC

Executive Data Analyst

July 2019 – December 2021

Michelin (France)

Data Analyst / Business Analyst

January 2023 – March 2023

Michelin

Data Analyst / Business Analyst

December 2021 – July 2023

Taycan Technologies

Business Analyst / Technical Analyst

September 2023 – February 2024

Northeastern University

Technical Tutor

September 2024 – April 2025

My Experiences

Let's Work Together
Experienced Business Analyst with a strong background in data engineering, ETL automation, KPI dashboarding, and business intelligence. Proven success in delivering high-impact analytics solutions using Azure, Power BI, SQL, and Databricks across diverse industries including manufacturing, consulting, and education.
Recent Projects

Power BI KPI Dashboard Development

Remote (Covid)

July 2019 – December 2021

Built 53+ Power BI dashboards and 800+ DAX measures for standardized KPI tracking across four financial and PMO domains. Reduced reporting workload by over 300 man-hours monthly through advanced analytics automation.

Business Website & Lead-Gen Automation

Hybrid

September 2023 – February 2024

Designed and launched a responsive business website using HTML, WordPress, Azure, and integrated CRM workflows. Enhanced user experience and improved lead conversion by 34.6% through form automation and accessibility improvements.

€80K System Migration & Architecture Overhaul

Onsite - France

January 2023 – March 2023

Executed an €80,000 enterprise-level system migration spanning 500+ man-days. Handled architectural planning, SLA alignment, legacy system decommissioning, and resource estimation—boosting analytics throughput by 67.4%.

Databricks Notebook Automation for Analytics

Onsite

January 2023 – March 2023

Developed 200+ automated Databricks notebooks with PySpark workflows, delta tables, ETL pipelines, and UDFs. This automation project replaced manual tasks of 8 team members, saving over 300 hours per month.

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