Aditya Darji
Data & Business Intelligence Analyst
I'm Aditya, with over 3 years of consulting experience specializing in data analytics.
My passion for data started during my Data Science studies. I saw the potential for businesses to unlock incredible value from their information.
That's why I embarked on a journey to become a Data Analytics Consultant. During my first year, I honed my skills in Excel, helping businesses transform raw data into clear reports and insightful analyses. But I knew there had to be a better way!
Then I started learning Python this powerful tool allowed me to automate repetitive tasks for report generation. Suddenly, businesses could get the insights they needed faster and with less effort.
As my expertise grew, I explored the world of data visualization tools like Power BI, Tableau, and Looker. With these, I could build captivating dashboards that brought complex data to life. Stakeholders could finally see the trends and patterns hidden within, enabling them to make data-driven decisions.
But my quest for knowledge didn't stop there. I delved into the fascinating world of Statistics and Machine Learning. This opened the door to extracting even deeper insights, not just what happened, but why. This allows me to help businesses make strategic choices based on the true power of their data.
Today, with over 3 years of consulting experience and a passion for empowering businesses, I'm here to help you leverage the magic of data to make smarter decisions and achieve your goals.
Testimonials
Over the last 3 year, I have worked with over 50+ businesses, Including World Bank, Tata AIG, and many SMEs in US & Australia.
Recent Projects
World Bank
Power BI Consultant
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Developed a comprehensive project tracking report for internal leadership using Power BI.
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Integrated diverse data sources (databases & SharePoint) and transformed data for usability.
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Streamlined data refresh process with Power Automate, saving 5-8 hours/week manual work.
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Designed an interactive, user-friendly report with clear visualizations and KPIs.
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Improved project visibility, facilitated data-driven decision making, and enhanced team efficiency.
Tata AIG
Reporting Analyst
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Streamlined Monthly Reporting by identifying data inconsistencies causing reporting delays.
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Collaborated with data engineers to implement robust SQL validation queries, ensuring data integrity and faster report generation.
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Automated Financial Reconciliation using Python scripts saving 10-15 hours of employee time.
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Providing real-time insights into report progress and empowering data-driven decision-making.
BRIARS FUNDS MANAGEMENT
Data Analytics Consultant
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Developed Python script to automate data collection, saving clients 50+ hours.
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Automated Data Collection: Proficient in Python for data extraction, and streamlining data gathering processes.
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Data Analysis & Visualization: Utilized correlation plots and segmentation to identify childcare demand trends.
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Strategic Decision Support: Provided data-driven insights to support informed decision-making on childcare center development.
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Identified 30 locations with potential childcare service shortages.
Clients I have worked with
Nick Petros, Co Founder, PinchFourth
"Absolute superstar! Aditya hopped in fast and went WAY above and beyond for us. So grateful to have him in the network. Super high integrity, great knowledge, and really fast work. One of the best for sure!"
Peter Arnold, CEO, BRIARS FUNDS MANAGEMENT
"Aditya did an excellent job for us.
He worked to understand the project and worked within both the timeframe and the budget to achieve the result. I would highly recommend him and would definitely want to work again on further projects. Highly recommended and very capable."
Michael Ferguson, Coco Goods
"Very responsive and diligent!! Aditya D. did an amazing job for our analysis and we will definitely be reaching out again for more work”
Steve Fantazia
Extracting Insight from raw Data
Discover how I empowered a client to unlock valuable insights from their data, enabling them to make informed decisions and transform their business. Watch the testimonial video to learn about their experience and the impact of data-driven solutions.
Key Projects
Real Time Dashboard to Track Business KPIs
Project Overview: The Service Dashboard project aimed to provide the client with a centralized platform for monitoring crucial KPIs related to repair services, rider performance, and parts management. The process involved data preprocessing, modeling, and dashboard design to ensure accurate tracking and actionable insights.
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Conclusion: The Service Dashboard project demonstrated the power of data-driven insights in optimizing repair services. By leveraging real-time data visualization and analysis, the client could make informed decisions regarding rider performance, parts inventory, and service allocation. This case study illustrates the significance of data-driven dashboards in enhancing operational efficiency and service quality for businesses operating in partnership with aggregators.
Leads & Marketing Report from CRM & Google Analytics
Objective: Improve decision marking by tracking key metrics from Hubspot & Google Analytics.
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Conclusion:
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Real-time data synchronization between HubSpot and Google Sheets ensures data accuracy and eliminates discrepancies.
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Identified the most cost-effective channels that generate leads at a lower cost per proposal/lead, maximizing budget allocation.
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By leveraging data-driven insights and automation, this project equips the client to optimize marketing campaigns and maximize the value of their marketing spend.
Sales Forecasting for Streamlined Production Planning
Objective: Build a sales forecasting model for decision-making across production, and inventory management.
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Conclusion:
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An accurate forecasting ARIMA model was built with an accuracy of over 90%.
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Reduced waste and optimized production boosted overall efficiency by tracking sales forecasts.
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This project equipped Coco Goods for success by leveraging data-driven insights, increasing profitability and market competitiveness.
Data Scrapping with Demand Analysis for Strategic Decision Making
Objective: Identify locations with a shortage of childcare places and potential demand in NSW and SA.
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Conclusion:
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Scraped child care & population data by zip code saving 50+ hours of manual data collection.
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Identified 30 locations most likely to require additional childcare services based on current population and childcare center availability.
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By automating data collection and utilizing data visualization techniques, We helped the client significantly reduce analysis time and gain valuable insights for informed decision-making.