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Hire Top Data Analytics Freelancers in India

Rockerstop helps you hire top Data Analytics experts in India. Post your Data Analytics jobs, review portfolios, and connect with skilled freelance data analytics professionals at affordable prices, only on Rockerstop.com.

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Frequently Asked Questions

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Post your Data Analytics project on Rockerstop, review freelancer profiles, compare skills and experience, and hire the professional that best fits your project requirements and budget.

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Clients can explore portfolios of Data Analytics freelancers, communicate directly, and review proposals before hiring, making it easier to find reliable professionals for their projects.

Why do businesses hire Data Analytics freelancers?

Freelancers offer flexibility, faster project delivery, and cost-effective solutions without long-term hiring commitments.

How quickly can a Data Analytics project start?

Once a Data Analytics project is posted, freelancers can submit proposals quickly, allowing clients to review options and begin work without delays.

Can freelancers work on long-term Data Analytics projects?

Yes, freelancers can be hired for short tasks, ongoing work, or long-term collaborations depending on project needs.

ProScore : (48.33%)

Trust Ayeni

Lagos

(2.42)

Trust Ayeni

Category : Data Analytics

From : Lagos

Profile Type : Individual

Member Since :

Pro Score

48.33%

Data tells a story. Decisions are shaped by data. Data is the business's brain. Employers now have an overwhelming demand for teams that can sift through data, make sense of it, and use it to improve customer experience, sales enablement, and strategic decision-making. I have learned to read data trends, to be able to boost productivity and improve a company's performance as a Data Analyst. The program has also advanced my programming abilities to work with complex datasets, and then apply these skills for data modification, analysis, and exploration. The ALX Data Analyst Programme, in collaboration with Udacity, is one of the fully-funded scholarship programs dedicated to training African youth, with the goal of driving job possibilities throughout Africa.

Supriya Chouhan

Category : Data Analytics

From : Bangalore

Profile Type : Individual

Member Since :

Pro Score

48.33%

I am a professional watercolor artist

BUNDI KEVIN MAKORI

Category : Data Analytics

From : Nairobi

Profile Type : Individual

Member Since :

Pro Score

48.33%

Software quality assurance engineer|Computer Network Support|System administrator|Data visualization|Data analysis

ProScore : (48.33%)

Simeon ZONGO

Ouagadouou

(2.42)

Simeon ZONGO

Category : Data Analytics

From : Ouagadouou

Profile Type : Individual

Member Since :

Pro Score

48.33%

Web, Mobile app and desktop developer. Expercience in many language such as php, javaScript, R, and dart a litle in python i use it to develope app in our company.

Farominiyi Ifeoluwa

Category : Data Analytics

From : Lagos

Profile Type : Individual

Member Since :

Pro Score

48.33%

Haigher National Diploma in Statistics, Data Analyst Certification from New Horizon Nigeria, World Quant University

Nitanshu Kumar

Category : Data Analytics

From : Delhi

Profile Type : Individual

Member Since :

Pro Score

48.33%

Graduated from Niet, Greater noida in 2019.

ProScore : (48.33%)

Raju Natha

Hyderabad

(2.42)

Raju Natha

Category : Data Analytics

From : Hyderabad

Profile Type : Individual

Member Since :

Pro Score

48.33%

Higher Qualification: Master's Degree in Statistics and Computer Science from Pondicherry Central University with an aggregate of 87% Work Experience: Role: Data Analyst Company: Artificial Penetration Software Solutions, Hyderabad Duration: January 2019 – December 2021 Conduct Data Mining, Data Modelling, Statistical Analysis, Business Intelligence gathering, trending, and Forecasting. Data analytics supports decisions for high-priority, enterprise initiatives involving IT/product development, customer service improvement, organizational realignment, and process reengineering. Used quantitative data gathered to develop an understanding of customer behaviour, demographics, and lifecycle. Presented data that helped guide decisions of the Organization. Perform qualitative and quantitative analysis to support day-to-day decision making and support reporting and analytics, such as KPIs, Financial reports, and create interactive dashboards for better analysis using Power BI or Tableau Used Machine Learning and Statistical Modelling techniques to develop and evaluate algorithms to improve performance, quality, data management, accuracy and making predictions Project : Title: Magic Straw Restaurant Sales Analysis and Revenue Prediction Role: Data Analyst Technologies: Excel, Power BI, Python, Machine Learning Description: The Basic idea of Magic Straw restaurants analysis is to get a fair idea about the factors affecting the establishment of different types of restaurants at different places in Hyderabad and aggregate rating and Revenue of each restaurant. This dataset contains details (including ingredients), images and reviews of 241 ice cream flavours & COMBO thick shakes across the city. There are a total of 21,674 reviews, with each review containing star ratings and text. Responsibilities / Accomplishments: • Data Mining and Modelling: Collected, cleansed, and provided modelling and analyses of structured and • unstructured data used for major business initiatives. Outcomes: — A 15% reduction in transportation costs, resulting in annual savings. — Improved demand forecasting that reduced backorders to retail partners by 17%. — Completed Revenue Analysis and BI research that helped boost NW region sales by 15%. Dashboards: Created visually impactful reports /dashboards in Power BI for data reporting and data analysis by using pivot tables and VLOOKUP. Extracted, interpreted, and analysed data to identify key metrics and transform raw data into meaningful, actionable information. eCommerce: Designed and built Machine Learning analysis models on large data sets that helped increase online sales (up to 15% per product) and lowered the Orders-Cancellation rate by 23%.