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Whether you are planning a loan or calculating your exact age for a job application, accuracy matters. I have built these tools using standard banking formulas to ensure you get 100% correct results every time. No data is stored on our servers—your privacy is our priority.

Loan EMI Calculator

Planning to take a Home, Car, or Personal Loan? Check your monthly EMI, total interest, and principal amount in seconds.

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Age & Date Calculator

Need your exact age for a government exam form (UPSC/SSC)? Find out your age in Years, Months, and Days instantly.

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Our Loan Calculator uses the exact mathematical formulas used by major Indian banks, ensuring zero errors.

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Global Product Catalog Update

The Challenge: Updating a large volume of product data sheets for Heskins LLC. The task involved changing Copyrights, Emails, and converting SKUs specifically for US, Canadian, and Mexican markets without altering other technical data.

⚡ My Solution:

  • Region-Specific Logic: Updated SKUs to US versions for US files, and Canadian/Mexican versions for French files.

  • Brand Compliance: Replaced “Heskins Ltd” with “Heskins LLC” across all footers.

  • Precision Editing: Only touched specific sections (SKUs, Contact info) while keeping the rest of the content intact.

✅ Final Outcome: Accurate, market-ready product documentation ready for North American distribution.

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Large-Scale Document Digitization

The Challenge: Converting a massive 176-page PDF (40k words, 110MB) into a fully editable MS Word document. The biggest challenge was maintaining the exact original layout, fonts, and formatting which auto-converters usually destroy.

⚡ My Solution:

  • Manual Formatting: Retyped and adjusted complex sections where software failed.

  • Layout Preservation: Ensured headers, footers, and paragraph styles matched the original exactly.

  • Optimization: Created a lightweight Word file that was easy to edit further.

✅ Final Outcome: A perfect digital twin of the original document in editable Word format, delivered within the deadline.

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Business Reputation Data Mining

The Challenge: The client provided a list of consulting firm URLs but lacked key reputation metrics. They needed to find specific social proof data like Yelp reviews, Google ratings, and testimonials for each firm.

⚡ My Solution:

  • Digital Investigation: Researched each firm to locate their specific Yelp IDs and Google Business Profiles.

  • Data Aggregation: Extracted specific star ratings, review counts, and testimonial text.

  • Mapping: Organized all social proof data back to the original firm URLs for easy comparison.

✅ Final Outcome: A comprehensive reputation dataset allowing the client to analyze firm credibility instantly.

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Healthcare Market Research (4,000+ Records)

The Challenge: Compiling and verifying detailed data for 4,000+ healthcare companies to support a strategic outreach campaign. The client needed accurate founder details, revenue estimates, and verified LinkedIn profiles.

⚡ My Solution:

  • Deep Research: Used platforms like Crunchbase and LinkedIn to verify company founders and roles.

  • Data Enrichment: Extracted estimated revenue, websites, and founding years.

  • Quality Control: Followed a strict framework to ensure every LinkedIn URL and data point was active and valid.

✅ Final Outcome: A high-quality, segmented database that the client successfully used for market analysis and lead generation.

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Academic Data Extraction & Formatting

The Challenge: The client needed to extract structured data from complex academic PDF syllabi into a clean spreadsheet.

Goal: Capture specific details like course names, reading lists, authors, and page counts—data that automated tools often miss or mess up.

Academic PDF Research & Data Extraction Project

⚡ My Solution:

  • Manual Precision: Manually extracted course details and university names to ensure 100% accuracy.

  • Data Structuring: Organized reading lists with author names and online source URLs into a strict format.

  • Verification: Cross-checked page counts and source links for every entry.

✅ Final Outcome: Delivered a well-formatted Google Sheet with precise academic data, ready for immediate educational research use.

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Automated Data Consolidation & Deduplication

The Challenge: A client provided 4 separate spreadsheets containing over 4,000+ mixed customer records. The data was heavily duplicated, with inconsistent names (e.g., “Raj S.” vs “Raj Sahu”) and unformatted phone numbers.

Goal: Create a single, 100% clean Master Sheet for CRM import within 48 hours.

⚡ My Automated Solution: Instead of manual sorting, I engineered a custom Excel workflow:

  • Smart Merging: Consolidated all 4 sources into one raw database.

  • Advanced Logic: Applied formulas to identify duplicates based on “Name + Mobile Number” while preserving unique Email IDs.

  • Standardization: Auto-formatted all phone numbers to include country codes (+91) and fixed name casing.

  • Error Trapping: Used conditional formatting to highlight potential conflicts for a final manual check.

✅ Final Outcome: Delivered a 100% unique, CRM-ready master sheet well within the urgent 2-day deadline, saving the client roughly 20+ hours of manual work.

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