Block Convey

•	Conducted comprehensive market research on blockchain trends and synthesized findings into a competitive matrix using Tableau, providing stakeholders with clear visualizations of market positioning and product comparisons.
•	Enhanced data analytics efficiency by 20% through the transformation of over 500 GB of data monthly, utilizing PySpark, AWS and Snowflake, while managing large datasets (over 1 TB) with Hadoop and SQL, resulting in a 30% increase in data processing speed.
•	Designed and implemented a suite of BI solutions, including predictive analytics models in Python with libraries like Pandas and NumPy, and developed diverse visualizations (Pie Charts, Bar Charts) and dashboards in Tableau, leading to a 10% rise in transaction revenue.
•	Managed cross-functional team collaborations to align with strategic initiatives, optimizing pricing and sales operations, and oversaw end-to-end machine learning project workflows, enhancing market reach and decision-making processes.

Business Intelligence Analyst

•	Conducted market research on blockchain trends by analyzing 15+ key competitors, gaining a comprehensive understanding of the current market landscape
•	Developed a competitive matrix in Tableau by comparing product features and pricing, enabling stakeholders to visually assess market positioning
•	Engineered a pricing model, resulting in a 10% increase in average transaction revenue
•	Collaborated with cross-functional teams to ensure alignment with go-to-market strategy, optimizing pricing, and sales operations and enhancing market reach

Business Development Analyst - Blockchain Intern

JPMorgan Chase & Co.

•	Applied advanced data analysis and visualization techniques, including DAX, VBA, VLOOKUP, and PowerPivot, to identify sales performance trends and performed SQL analysis of marketing data from over 50 sources, achieving a 15% improvement in key performance metrics.
•	Drove process efficiency by spearheading automation strategies, eliminating over 300 manual work hours annually, and transforming complex data sets into accessible formats using Excel macros and Python libraries (NumPy, Pandas, Matplotlib).
•	Coordinated and managed intricate data workflows with Azure Data Factory, enhancing data movement, transformation, and orchestration, which contributed to a more scalable and reliable data management system.
•	Led a data governance initiative to ensure industry-standard compliance and data integrity, resulting in a 25% enhancement in data quality and reliability.

Data Analyst

Adani Group

•	Spearheaded comprehensive surveys with 50 stakeholders to gather business requirements and performed detailed data analysis on over 200 datasets using Python, leading to a 20% increase in process improvement recommendations and informed critical business decisions.
•	Developed and fine-tuned machine learning models with Python libraries (Pandas, NumPy, Matplotlib), and produced over 100 graphical reports for capacity planning, resulting in a 25% improvement in resource allocation.
•	Enhanced data infrastructure efficiency by implementing ETL processes with SQL Server Integration Services (SSIS) and crafting SQL queries, achieving a 30% reduction in data processing times and a 15% increase in operational efficiency.
•	Optimized data querying and quality checks using SQL Queries, which led to a 40% decrease in query execution times and a 70% reduction in data-related errors, improving data integrity and reliability.

Business Data Analyst

Data Analyst with three years of experience, focusing on extracting actionable insights from large datasets. Utilizing Python and AWS, proficient in analyzing big data exceeding 1TB, leading to a 20% improvement in business process compatibility. Demonstrated data visualizations skills that help informed strategic decisions, using tools like Python's Matplotlib, Power BI and Tableau. Enhanced system compatibility with GAP analysis and documented comprehensive business requirements, facilitated the collaboration of IT and business units to resolve process issues, and contributed to a 10% increase in project efficiency. Proficient in Python and R, developed machine learning algorithms that have streamlined data operations. Active participation in Agile-driven projects has been pivotal in maintaining momentum and meeting milestones in the software development lifecycle (SDLC).

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Harshil Chauhan's Linkedin Analytics

Harshil Chauhan

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Harshil Chauhan

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Harshil Chauhan's Linkedin Analytics