Freelance Data Analysts in GujaratFreelance Data Analysts in Gujarat
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Gopi UI/UX + AI's avatar
Gopi UI/UX + AI
Ahmedabad, India
AI-Powered UI/UX Designer | Apps, SaaS & Website
362
Followers
JITTER_EXPERT

expert

AI-Powered UI/UX Designer | Apps, SaaS & Website
Cover image for Real Estate CRM Dashboard Design
Real Estate CRM Dashboard Design
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21
Cover image for Healthcare Management Dashboard Design
Healthcare Management Dashboard Design
8
47
Cover image for Designed a modern crypto dashboard
Designed a modern crypto dashboard experience focused on simplicity, clarity, and premium visual aesthetics. The goal was to transform complex financial data into an intuitive and engaging interface through clean layouts, structured information hierarchy, glowing charts, and smooth dark-theme visuals. From portfolio tracking and asset management to trading insights and analytics, every section was crafted to feel seamless, modern, and highly interactive. The bold orange gradients combined with minimal UI elements create a futuristic fintech experience that feels both powerful and elegant. This concept explores how strong visual design and usability can work together to make digital finance platforms more user-friendly and visually immersive. #CryptoDashboard #DashboardDesign #FintechUI #DarkUI #UIUXDesign #CryptoUI #SaaSDesign #WebAppDesign #ProductDesign #ModernUI #UIDesigner #UXDesign #DataVisualization #TradingPlatform #FigmaDesign #CreativeUI #DigitalProduct #AppDesign #DesignInspiration #BehanceProject
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974
Cover image for Nuvoora Brand Identity & Logo Design
Nuvoora Brand Identity & Logo Design
2
6
Data Analyst(3)
Widle Studio LLP's avatar
Widle Studio LLP
Ahmedabad, India
Retool Expert
1x
Hired
18
Followers
RETOOL_EXPERT

Agency Partner

Retool Expert
Cover image for Development of MaverickRE's Platform using Retool
Development of MaverickRE's Platform using Retool
2
29
Cover image for Development of Mobile App Admin Panel for Safelet using Retool
Development of Mobile App Admin Panel for Safelet using Retool
2
18
Cover image for 🏠 EverKnock — A Personal Assistant to Manage Your Move Abou...
🏠 EverKnock — A Personal Assistant to Manage Your Move About the Company: EverKnock is a digital concierge that simplifies the home-buying and selling process. Powered by human expertise, AI, and automation, it streamlines communication between all stakeholders and integrates every moving service into one seamless journey — like a wedding planner for your home-move. Widle’s Contribution: Our team led the end-to-end design and development of EverKnock’s website — translating their vision into a clean, user-focused experience. We focused on intuitive UX, responsive layouts, and optimized performance to communicate the brand’s premium concierge feel while supporting the platform’s automation-first mission. Services: Website Design & Development UX/UI Strategy Responsive Implementation Optimization & Launch Support
3
4
271
Cover image for The Human OS™
The Human OS™
2
12
Data Analyst(2)
Karan Chhatrala's avatar
Karan Chhatrala
Ahmedabad, India
SAP BusinessOne | Power BI | Data Analyst | Business Analyst
New to Contra
SAP BusinessOne | Power BI | Data Analyst | Business Analyst
Cover image for Crystal Reports Suite for SAP
Crystal Reports Suite for SAP B1 HANA | BP Ledger & Financial Reports Developed a complete set of Crystal Reports for a SAP Business One HANA environment, connected directly through SAP Crystal Reports and HANA Studio. This BP (Business Partner) Ledger Report shows a running-balance statement with opening balance, transaction-level detail (date, document number, narration, debit/credit), and an auto-calculated running total the kind of report finance teams rely on for balance confirmations and reconciliation. What the report package includes (visible across the open tabs): BP Ledger Report : running-balance statement with opening balance carried forward, per-transaction debit/credit, and a live running total, filterable by date range Ledger Report – Party-wise : the same ledger logic segmented by business partner, for multi-party reconciliation Ledger Report : a general-purpose ledger view Stock Statement : inventory position reporting Purchase Order report : procurement-side documentation Technical approach: Built and queried directly against SAP B1 HANA using HANA Studio and native Crystal Reports connectivity, not a flattened export Running totals calculated natively in Crystal Reports (Running Total Fields) so balances stay accurate as new transactions are added, with no manual re-calculation Parameterized date-range filtering (Balance Confirmation From/To) so the same report serves any period without rebuilding Clean, print-ready formatting suitable for sending directly to a customer or vendor for balance confirmation Why this matters to a client: A BP ledger with a running balance sounds simple, but getting the running total to calculate correctly against opening balances, filtered date ranges, and grouped by party takes real Crystal Reports and HANA query experience. This is a day-to-day report almost every SAP B1 finance team needs, and I can build the full set ledger, stock, purchase, and party-wise views as one connected package rather than one-off reports. #CrystalReports #SAPHANA #HANAStudio #SAPBusinessOne #FinancialReporting #LedgerReports #RunningBalance #Accounting #BusinessConsulting #FinancePlanning #FinanceAnalysis #DataModeling
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Cover image for SAP Business One (HANA) Native
SAP Business One (HANA) Native Dashboards & KPIs Built native SAP Business One HANA dashboards directly inside the SAP B1 client real-time KPI widgets running on live HANA data, with no separate BI tool required. This gives users instant visual insight the moment they log into SAP B1, right on their home screen. What the dashboard delivers: Customer-wise sales KPI : a ranked table of top customers by total sales amount, pulled live from SAP B1 sales data Year-over-year comparison chart : Current FY vs. Previous FY vs. Prev-of-Previous FY, broken down by month, so trend analysis is available without exporting to Excel Monthly sales bifurcation : a bar chart tracking total sales amount by month across the fiscal year for quick pattern spotting Item-group-wise Sales Order totals : both a pie chart (proportional share by item group) and a horizontal bar chart (absolute SO totals), giving two views of the same data for different reporting needs Purchase order tracking widget : a live count of "My Purchase Orders Not Received," turning a report that used to require manual checking into an always-visible alert Built entirely on HANA calculation views : meaning the dashboards refresh against live transactional data with strong performance, not batch-refreshed extracts Why this matters to a client: Most SAP B1 users only see this kind of visibility if they buy and connect a separate BI tool. I build the same KPI/dashboard experience natively inside SAP B1 using HANA views and the built-in dashboard framework so there's no extra license, no separate login, and no data-sync lag. It's the fastest way for a SAP B1 HANA client to get real-time visual reporting without adding another system. Suggested tags: SAP Business One SAP HANA HANA Calculation Views KPI Dashboard Native Dashboard Development Sales Analytics One-line hook for the service card (under 100 chars): Native SAP B1 HANA dashboards - real-time KPIs with no separate BI tool needed. One more thing worth doing now that you have 4 solid samples (ELN/pharma, manufacturing job card, Power BI sales dashboard, also work with different industries, and this HANA dashboard): they span your 3 services nicely, this one and the Power BI one go under Service 1 (Reporting & Power BI Dashboards), and it's worth explicitly adding "native HANA dashboard development" to that service's tags/description too, since it's a distinct enough skill that clients may search for it specifically.
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66
Cover image for Power BI Sales Dashboard |
Power BI Sales Dashboard | Multi-Year Day-Range Analysis Built a fully interactive Power BI sales dashboard that breaks down revenue not just by the usual year/month/product view, but by a custom "day-range" pattern (0–10, 11–20, 21–31 days) giving management visibility into when within the month sales actually happen, which is critical for cash flow and production planning in trading/manufacturing businesses. What the dashboard delivers: 5-year trend view : one-click tabs to switch between FY20-21 through FY24-25, with a running "Total" row and column so leadership sees both period and cumulative performance instantly Quarter and month drill-down: Q1/Q2/Q3 buttons plus a 1–9 month strip let users move from annual to monthly granularity without leaving the page Day-range breakdown by month : a dedicated matrix showing 0–10/11–20/21–31-day sales split for every month of the year, so seasonal and mid-month sales patterns are visible at a glance Multi-dimensional filtering : global slicers for Item Group, Sales Employee, and State, so any table or chart on the page can be sliced by product line, individual salesperson, or region in real time Item Group and Sales Employee performance matrices : day-range sales broken out per product category and per salesperson, useful for both inventory planning and sales incentive tracking Visual summary charts : a horizontal bar chart totaling sales by day-range, and a color-coded combo chart showing the month-by-month day-range split side by side, so non-technical stakeholders get the story without reading tables Consistent, presentation-ready formatting : currency in lakhs (₹L), color-coded day-range categories, and a clean header/navigation bar that makes the report feel like a finished product, not a raw data dump Why this matters to a client: This isn't just a report that shows totals : it's built to answer a specific business question (when in the month are we actually making money, and who/what is driving it) that standard "sales by month" dashboards miss. I design Power BI dashboards this way: starting from the business question a client actually needs answered, not just wiring up default visuals.
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65
Cover image for Crystal Reports for Production &
Crystal Reports for Production & Manufacturing (Job Card / Job Sheet) Designed a Crystal Reports job sheet for a manufacturing/production environment on SAP Business One, giving management a single-page view of an entire job card lifecycle from sales order through material consumption, production, dispatch, process cost, and labour cost. The report pulls together: job card quantity vs. processed vs. dispatched quantity with automatic wastage % calculation, linked sales order and customer order details, a full material consumption table (item, lot number, projected vs. actual quantity), production details tied to MRQI numbers, a dispatch summary reconciled against production output, and a detailed process cost breakdown by machine, operator, shift timing, and duration. This is exactly the kind of multi-section, data-heavy report I build for manufacturing clients on SAP B1 reports that replace manual Excel reconciliation with one accurate, auto-refreshing document tied directly to live SAP data, so production, dispatch, and cost figures never fall out of sync.
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69
Data Analyst(5)
Divyesh Ahir's avatar
Divyesh Ahir
Surat, India
Senior Mobile App & Web UI/UX Designer | iOS, Android, Figma
New to Contra
Senior Mobile App & Web UI/UX Designer | iOS, Android, Figma
Cover image for Admin dashboard: analytics
Admin dashboard: analytics
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2
Cover image for Virtus4all - Sales Management Dashboard 📈
Virtus4all - Sales Management Dashboard 📈
1
0
Cover image for CALORIESENS - Calorie Counter Mobile App
CALORIESENS - Calorie Counter Mobile App
1
4
Cover image for Furniture e-commerce app - Mobile app
Furniture e-commerce app - Mobile app
1
2
Data Analyst(2)
Jineshwar Khatri's avatar
Jineshwar Khatri
Ahmedabad, India
Data Expert: BI, Modelling & Pipeline Developer
Data Expert: BI, Modelling & Pipeline Developer
Cover image for Persona Development - Customer Segmentation
Persona Development - Customer Segmentation
0
17
Cover image for Building a Highly Interactive Dashboard
Building a Highly Interactive Dashboard
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19
Cover image for Developing Reliable Data Pipelines
Developing Reliable Data Pipelines
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34
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Data Analyst(2)
Kunal Khatri's avatar
Kunal Khatri
Surat, India
PhD Statistician | Data Analysis & Research Expert
PhD Statistician | Data Analysis & Research Expert
Cover image for 🧠 Title: Statistical Analysis of
🧠 Title: Statistical Analysis of 325 Survey Responses for Research Study 📌 Problem: The client required a complete statistical analysis of survey data (325 respondents) to examine relationships between multiple factors such as organizational support, job involvement, and employee engagement. They needed: 1. Correct statistical test selection 2. Accurate analysis 3. Clear interpretation for research reporting ⚙️ Approach: I followed a structured analytical process: 1. Data cleaning and preprocessing 2. Reliability testing (Cronbach’s Alpha) 3. Descriptive statistics 4. Correlation analysis 5. Regression analysis 6. Hypothesis testing using SPSS 🛠 Tools Used: SPSS, Excel, R, Python 📊 Results 1. Identified significant relationships between key variables 2. Established impact of organizational support on engagement 3. Generated clear statistical outputs with interpretation 🎯 Outcome: The client successfully completed their research project with strong statistical backing and well-structured results for their report/dissertation. 💡 Key Value Delivered 1. Accurate and reliable statistical analysis 2. Easy-to-understand interpretation 3. Research-ready outputs
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Cover image for 🚀 Available for Statistical Analysis
🚀 Available for Statistical Analysis & Research Projects I’m a PhD-qualified Statistician with 14+ years of experience in data analysis and academic research. I help clients with: • Survey data analysis (SPSS, R, Python) • Hypothesis testing, regression, factor analysis • Thesis, dissertation & research support • Data visualization & interpretation I focus on delivering accurate results, clear insights, and professional reports. 📍 Time Zone: IST (UTC +5:30) 🌍 Available for global clients If you’re working on a research or data-driven project, feel free to connect!
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Cover image for This HR analytics project focuses
This HR analytics project focuses on analyzing workforce data to uncover insights into employee attrition, satisfaction levels, income distribution, and key correlations among HR metrics. The analysis aims to help HR departments make informed decisions for retention and workforce planning.
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Cover image for This customer analytics project focuses
This customer analytics project focuses on understanding customer behavior, purchasing patterns, and retention factors. The dataset includes transaction history, demographic attributes, and engagement metrics. Using R-Studio and SAS Studio, advanced statistical analysis and predictive modeling techniques were applied to enhance customer segmentation, identify churn risk, and optimize marketing strategies.
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Data Analyst(5)