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An Innovative Data Science Consulting Company

As data and analytics have become an integral part of an enterprise and data has become a vital asset of an organization, businesses must make data work. At Bacancy, we have assembled a great team with versatile skills to offer exceptional data science consulting services suiting your business needs.

We have data scientists developing and applying complex analytic methods and data engineers highly proficient in microservices, data integration, and distributed computing. Our cloud and data architects provide technical and informative insights, and our creative designers and UI developers ensure the insights presented are visually beautiful and intuitively functional. For us, data science is nothing unless used wisely.

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Data Science Consulting Services We Offer

“Give us the data, and we will give your insights.” At Bacancy, we offer data science consulting services using the latest tools and operational technologies to identify and solve your most complex data science challenges strategically.

Using emerging technologies like web scraping, cloud data collection tools, and Web APIs, our data engineers collect data based on business challenges you are trying to solve. Our team is highly proficient in database systems like MongoDB. PostgreSQL, MySQL, etc. Besides, their expertise in tools like Python, R, Beautiful Soup, Scrapy, Spark, Apache, and more ensures you get the correct data set anytime and anywhere.

Our data architects and data engineers use specialized data cleansing tools such as Data Ladder, WinPure, and data preparation tools such as Altair, DataRobot, Tableau, Tibco Software, and Trifacta to investigate and cleanse the data. We cleanse the inconsistent, irrelevant, and duplicate data and fix typos, invalid, or missing data. Finally, the data is accurate, complete, consistent, integral, timely, uniform, and validated.

Our data architects create database systems and data warehouse designs suiting your needs. They load the cleansed data into those data lake repositories or data warehouses or simply load it into the NoSQL database. Then the data analysts explore the data by accessing column-level anomalies, distributions, patterns, structures, and much more. Once it is done, they structure, enrich, and shape the data using tools like Improvado, Alteryx, Microsoft Power BI, Tableau, Trifacta, Qlik, DataWatch, SAP, etc.

EDA is one of the prominent data science consulting services we provide. Our data engineers work on questions for which you need answers and the factors or elements affecting them. We distribute data in distinctive variables to explore it graphically using bar graphs. Besides, the relation between different data points is captured via graphical representation like warmth maps, scatter plots, etc.

We develop a minimum viable model or MVA. It allows our data scientist to collect the maximum amount of validated learning and is the core strength of our data science consultancy services. Depending on the requirement, our team can build a real-time API, ML algorithm, and dashboard along with a backend system or a Python script. Our data scientists validate the MVA in real-time, measure its performance, enhance wherever necessary and deploy it to get the expected results.

We use DataOps components to offer scalable, purpose-driven big data platforms by adhering to best data privacy, security, and governance practices. Our DataOps services enable deeper cooperation, set up enterprise-level DevOps ability, orchestrate multi-layer data architecture, build the end-to-end data architecture, and automate infrastructure. Under DataOps, we cover Databases, IoT, Automation, Big data, Machine learning, Smartphones, Blockchain, Cloud, and much more.

Bacancy offers data science consulting services to help organizations develop custom solutions by applying AI, Deep Learning, Machine Learning, and other emerging technologies. Depending on your requirements, we opt for a project-driven or product-driven approach to automate and streamline the data processing pipeline. We offer data science services for data science use cases, ML model building, ML algorithms, Data security & data governance, DataOps, Data Mesh, etc.

Leverage our team of data scientists, data engineers, data architects, and data specialists to adopt a data-driven culture. We will help you ramp up your data processing and machine learning capabilities so that you can do better business with better data. Cutting-edge ML and AI solutions, data procurement strategies, and expertise beyond technologies and advanced analytics will help you leverage data and maximize ROI.

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Your Success Is Guaranteed !

We accelerate the release of digital product and guaranteed your success

We Use Slack, Jira & GitHub for Accurate Deployment and Effective Communication.

Tools and Technologies Our Data Science Consultants Use

LANGUAGES Python R TypeScript SQL C/C++ Java Julia Scala JavaScript Swift GO MATLAB SAS
FRAMEWORKS TensorFlow Scikit-learn Keras Pandas Spark MLib PyTorch Matplotlib Numpy Seaborn Theano
LIBRARIES/APIs TensorFlow NumPy SciPy Pandas Matplotlib Keras SciKit-Learn PyTorch Scrapy BeautifulSoup SQLAlchemy Flask-RESTful XGBoost OpenCV
STORAGE MongoDB PostgreSQL Google Cloud MySQL Sybase SQLite Company Databases JSON Oracle9i Oracle RDBMS SQL Server Apache Hive NoSQL AWS S3
TOOLS SAS Apache Spark BigML D3.js MATLAB Excel Tableau ggpplot2 Jupyter Matplotlib NLTK Scikit-Learn TensorFlow Weka
PLATFORMS Google Cloud Platform (GCP) Docker Jupyter Notebook Amazon Web Services (AWS) Alteryx RStudio DataRobot Anaconda Lambda AWS EC2 H20 RapidMiner TIBCO Domino

Our Amazing Customer Success Stories

Over the past 6+ years, Check out the work our dedicated Data Scientists have done for our valuable clients to solve real-life problems and help them overcome start-up challenges.

Customer Segmentation
Customer Segmentation

RETAIL & ECOMMERCE

Customer Segmentation

Core Technologies - Python | PowerBI | JupyterNotebook

Our client was interested in running targeted marketing campaigns by segmenting them into different homogenous groups. We used the customer database to get the RFM values and, with a customized SQL query, pulled the data to a CSV file for RFM analysis in Python. Using the Jupyter Notebook, we did EDA and calculated the RFM values.

Video Transcript Summarization
Video Transcript Summarization

EDUCATION

Video Transcript Summarization

Core Technologies - Python | NLP | Flask

We developed an NLP model to create a YouTube video summary and generate QnA for a Europe-based educational institution. To ensure the YouTube transcript summary matches the user-defined length, we used both - Extractive and Abstractive summarization techniques. For the QnA generation, we used BART.

Category Prediction
Category Prediction

IT

Category Prediction

Core Technologies - Python | NLP | Rasa | Flask | MatPlotLib

We were asked to develop a company category prediction for one of our valuable clients based in the USA. To work upon their request, our Data science developers used an additive model- boosted tree regression (BRT) model, which uses decision trees to learn and predict the category of the company by fetching and analyzing the metatags from the company website's homepage. About the results we brought, the working accuracy score of the company category prediction model was 70%.

Use Cases for Data Science

Industries We Serve

Manufacturing

Manufacturing

Data is transforming manufacturing, Leverage our data science services to leverage predictive, preventive, performance analytics and more.

Education

Education

Contextualizing education is necessary. Data science empowers education industry to know what works for whom, when and where.

Telecom

Telecom

The network, customer service, and infrastructure operations in telecom industry generates huge amount of data. Let's put this data to work.

Media and Entertainment

Media and Entertainment

When amazon and netflix can do it, you can do it too. Let us help you become the leader in your segment by using data appropriately.

Finance & Banking

Finance & Banking

Digital banking is the future and we are ready to transform the banking and finance sector using AI, ML and data science technologies. Are you?

Retail & ECommerce

Retail & ECommerce

When major players are leveraging data science you might be left out of competition. Let’s transform the way you conduct your business.

Healthcare

Healthcare

Some things are learned in a hard way. However, we make it easier for you and prepare your healthcare facility to meet future challenges.

Transport

Transport

When you can take informed decisions, why you are still on the losing side. Leverage data science consulting services to gain competitive edge.

Government

Government

From agriculture to climate and from defense to economics, we help government agencies wherever and whenever they need us.

Why Should You Hire Us as Your Data Science Services Partner?

At Bacancy, we have a team of data scientists, engineers, analysts, and architects skilled and experienced to assist you in adopting a data-driven culture. A successful data journey begins with a trusted and right data science consulting company. We are known for bringing innovations to the table, harmonizing data to get pinpoint insights, and adding new technologies to the infrastructure.

We help you implement data architecture, scale data engineering, collaborate with data analysts, and explore alongside data scientists. You can rely on us for a complete data science lifecycle, AI and ML architecture, and full-scale business analytics initiatives. We bring industry and use case expertise to transform your business and make the most of your unstructured data.

Why Should You Hire Us as Your Data Science Services Partner?

Advantages of Partnering with Bacancy:

  • Agile methodology
  • Flexible engagement models
  • Certified data professionals
  • A wide range of data science services
  • 360𝆩 View of project development
  • Experience in working with different industries
  • Timezone flexibility
  • Fully signed NDA
  • 100% client satisfaction
  • Easy exit policy
DISCUSS YOUR PROJECT IDEA WITH US

Frequently Asked Questions

Still have questions? Let’s talk

Data science consultants are the data science professionals responsible for educating clients on versatile aspects of data science and using modern technology to utilize data for their benefit. In simple terms, they understand the challenges faced by clients, review their expectations, and propose data-driven solutions that would enhance the analytics skills, compatibility, structuring, competencies, security, and gravity of the data they possess.

Yes, Consulting is suitable for data science. Because, the significant role of the consultant is to offer data science solutions to problems faced by clients and make the right data science talent readily available to global corporations.

Healthcare facilities, Edtechs, Fintechs, and businesses from versatile industries do not have data science teams ready on the floor. Therefore they are looking to outsource their data science requirements to the appropriate data science consulting company.

Data science consulting allows such organizations to analyze different companies and work on short-term or long-term contracts. By harboring the right data science talent, these consulting companies enhance their chances of getting those projects after giving proper consultation.

As per the 2020 data, companies paid between $200 to $350 for one-hour data science consultation. Besides, the salaries for data scientists ranged from $54,000 to $140,000 per year.

However, if you want to know about our rates, you can find the information on our consulting charges provided above.

Here are some of the standard data science services we provide:

  • Data Preparation
  • Data Modeling
  • Data Warehousing
  • Database Development
  • Statistical Programming
  • Resolve issues with existing data science projects
  • Data science support and maintenance
  • To identify data sources and collect data from all the touch points.
  • Identify problems and growth opportunities.
  • Cleanse and transform the raw data into structured and meaningful data.
  • Build and apply ML models to analyze data.
  • Data analysis and visualization to see the bigger picture.
  • Perform in-depth analyses and retrieve actionable insights to make informed decisions.
  • Present data insights in a visually appealing and understanding format.
  • Get answers to all your queries using data generated within the company.

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