Freelance Data Analysts in Dadri
Freelance Data Analysts in Dadri
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Vikas Kashyap
Delhi, India
Data visualization engineer, Data Analyst, BI Expert
10
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Data visualization engineer, Data Analyst, BI Expert
1
Executive Summary Dashboard for Google Merchandise Store
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9
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National Accident Statistics Dashboard in Google Looker Studio: I built an interactive Looker Studio dashboard using Google Sheets as the data source to visualize national accident statistics. The report analyzes accidents by region, time, severity, and demographics. A scheduled data re:fresh every 15 minutes keeps the dashboard updated in real time. As a Data Visualization Expert, I combined automation and design to deliver a clean, insightful, and dynamic Looker Studio dashboard for data-driven decision-making. π π― π
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141
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Ecommerce Analytics Dashboard in Looker Studio
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5
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Amazon Sales Dashboard in Power BI
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10
Data Analyst
(6)
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Pratik Bhambri
Dadri, India
Data Scientist: Python, RStudio, ML, BI, NLP, DL, LLM
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Data Scientist: Python, RStudio, ML, BI, NLP, DL, LLM
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Portfolio Optimization Project
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3
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Stock Prediction from Time Series
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Customer Segmentation Project
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3
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"AI-Powered Fraud Detection System | 99.96% AUC"
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3
Data Analyst
(3)
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Urvi Walia
Delhi, India
Transforming data into insights that drive growth with AI
New to Contra
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Transforming data into insights that drive growth with AI
0
Sales Analysis Dashboard Project Built an interactive Sales Analysis dashboard to track revenue, sales trends, product performance, and customer purchasing behavior. Analyzed sales data to identify growth opportunities and support data-driven business decisions. Key Insights: Identified top-performing products and sales regions Analyzed monthly sales trends and customer buying patterns Tracked KPIs to improve sales performance and forecasting Skills Used: Data Analysis β’ KPI Reporting β’ Data Visualization β’ Dashboard Development β’ Business Intelligence Tools: Power BI β’ Excel β’ SQL β’ Python
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IT Service Management Dashboard Project Developed an interactive IT Service Management dashboard to monitor ticket volume, incident trends, SLA performance, and support team efficiency. Analyzed operational support data to identify service bottlenecks, improve response times, and support data-driven operational decisions. Key Business Insights & Decisions: Monitored ticket creation and closure trends to improve operational efficiency Identified high-priority and high-severity incidents requiring immediate attention Tracked SLA compliance rates to reduce delayed ticket resolutions Analyzed support categories and work types to optimize resource allocation Evaluated top-performing IT agents based on ticket resolution performance Improved service quality monitoring through customer satisfaction analysis Dashboard Highlights: Ticket Volume & Closure Tracking SLA Performance Monitoring Ticket Priority & Severity Analysis Support Category Breakdown IT Agent Performance Analysis Customer Satisfaction Metrics Interactive Filters for Dynamic Reporting Skills Used: Data Cleaning & Transformation Exploratory Data Analysis (EDA) KPI Monitoring & Reporting Operational Data Analysis Data Visualization Dashboard Development Business Intelligence Reporting Insight-Driven Decision Making Tools & Technologies: Power BI β’ Excel β’ SQL β’ Python β’ DAX β’ Data Visualization
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Customer Segmentation Case Study Analyzed customer purchasing behavior using data analysis techniques to identify high-value customer segments and buying patterns. Cleaned and processed raw customer data using Excel and Python, then created interactive dashboards in Power BI to visualize customer demographics, spending habits, and retention trends. Key Business Improvements & Decisions: Identified the most profitable customer groups for targeted marketing Helped optimize marketing campaigns based on customer behavior Suggested personalized offers for high-value customers to improve retention Reduced unnecessary marketing spend by focusing on the right audience segments Improved decision-making through clear KPI dashboards and customer insights Tools Used: Excel β’ Python β’ SQL β’ Power BI
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Tesla Sales & Market Analysis Project Conducted a data-driven analysis of Teslaβs sales performance, market trends, and customer demand patterns using real-world datasets. Cleaned and analyzed large datasets to identify revenue trends, regional performance, and key business insights that could support strategic decision-making. Key Business Insights & Decisions: Identified top-performing sales regions and revenue-driving markets Analyzed customer demand trends to understand purchasing behavior Detected seasonal sales patterns to support forecasting strategies Helped highlight opportunities for improving sales performance and market targeting Built interactive dashboards for easy tracking of KPIs and business metrics Skills Used: Data Cleaning & Preprocessing Exploratory Data Analysis (EDA) Sales Trend Analysis Data Visualization Dashboard Development Business Intelligence Reporting KPI Analysis Business Insight Generation Tools & Technologies: Excel β’ Python β’ SQL β’ Power BI β’ Pandas β’ Matplotlib
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20
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(3)
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Aashish Tiwari
New Delhi, India
Chartered Accountant | IFRS, US GAAP | Data Analyst π
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Chartered Accountant | IFRS, US GAAP | Data Analyst π
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Revitalized Data Analysis at Lenovo with Excel, Power BI and PPT
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11
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Revamping Lenovo's Finances: Next-Gen Accounting Solutions
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15
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Income Tax and Transfer Pricing for International Clients at RSM
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12
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Aditya Tanwar
Faridabad, India
Data Insights & Dashboards Curated for Success
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Data Insights & Dashboards Curated for Success
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Coffee Shop Sales Analysis
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30
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Real Estate Sales and Distribution Analysis
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12
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British Airways Reviews Analysis
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11
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mayank
Delhi, India
Expert Data Visualization with Tableau & Matplotlib
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Expert Data Visualization with Tableau & Matplotlib
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Skin Lesion Detection Using Convolutional Neural Networks β ISIβ¦
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17
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Comprehensive Stock Analysis and Prediction Using LSTM: A Case β¦
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11
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Visualizing and Predicting California Housing Prices: A Linear β¦
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81
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Saransh Purohit
Delhi, India
Data Analyst | SQL & Power BI Specialist
New to Contra
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Data Analyst | SQL & Power BI Specialist
1
In this technical deep-dive, I engineered a robust SQL script to extract high-level financial insights from 20+ years of Nifty 50 data. I moved beyond basic queries to implement complex analytical functions that simulate real-world market tracking. Market Sentiment Logic: Developed a CASE-based classifier to identify Bullish/Bearish trends using 50-day Moving Averages. Volatility & Risk: Calculated day-on-day price fluctuations and ranked high-risk trading days. Momentum Tracking: Integrated window functions (LAG/LEAD) to compute RSI-base logic and 30-day price momentum. Efficiency Metrics: Analyzed Turnover Efficiency to understand market liquidity during peak trading hours. This project demonstrates my ability to handle large-scale financial datasets and translate raw numbers into strategic market indicators.
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Developed a comprehensive Stock Market Analysis tool using SQL and Power BI to visualize Nifty 50 data. Data Processing: Cleaned and transformed raw financial datasets using Excel and SQL queries. Interactive Visuals: Built 3 dynamic dashboards tracking price trends, volatility, and sectoral rotations. Business Insights: Identified key market drivers and risk factors through historical data analysis. Financial Expertise: Proven experience in stock market data analysis (Nifty 50). Tech Stack: Power BI, SQL, Microsoft Excel.
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Nifty 50 Stock Market Analysis
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1
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Risk management analysis
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12
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(3)
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MANJU LATA
Noida, India
15 Yrs GIS Expert and Data Engineer π
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15 Yrs GIS Expert and Data Engineer π
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Leveraging GIS for Urban Planning
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5
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Enhancing Environmental Monitoring with GIS
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9
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Streamlining Data Management with GIS
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I will do georeferencng of satellite image and cadastral map inβ¦
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15
Data Analyst
(6)
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