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 of data science consultants is highly proficient in database systems like MongoDB. PostgreSQL, MySQL, etc. Besides, they are the top-notch data science experts using various tools and technologies like Python, R, Beautiful Soup, Scrapy, Spark, Apache, and more to get you 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 various data science techniques. They also use modern tools like Improvado, Alteryx, Microsoft Power BI, Tableau, Trifacta, Qlik, DataWatch, SAP, etc.
We have established our reputation in offering the most-preferred data science services such as EDA. 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 science experts 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 data science 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. Our data science consultants offer various 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. As one of the leading data science consulting firms, we can help you ramp up your data processing and machine learning capabilities so that you can do better business with better data. Using cutting-edge ML and AI solutions, data procurement strategies, and expertise beyond data science technologies and advanced data analytics can help you leverage data and maximize ROI.
At Bacancy, we offer below-mentioned additional services in Data Science consultancy. Hire Data Science consultants with the skill set and expertise you need.
Data investigation and cleansing
SPSS Statistics | RStudio | JMP | Minitab Statistical Software | eviews | OriginPro | Stata | Base SAS | TIMi | SuiteOrange | GraphPad Prism | Stat Graphics | XLSTAT | Wolfram Mathematica
Regression | Logistic Regression | Classification | Naive Bayes Classifiers | Decision Trees | Linear Regression | Ridge & Lasso Regression | KNN | Random Forest | Ada-Boost | Logistic Regression | Support Vector Machines | Gradient Boosting | XGBoost
Clustering | Hierarchical clustering | Probabilistic Clustering | K-means clustering | K-NN | Principal Component Analysis | Singular Value Decomposition | Independent Component Analysis | Stochastic Gradient | Apriori Algorithm | Isolation Forest | Affinity Propagation
LSTM and GRU | Autoencoders | Generative adversarial networks | Deep Q-network (DQN) | Bayesian Deep Learning
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|TensorFlow Scikit-learn Keras Pandas Spark MLib PyTorch Matplotlib Numpy Seaborn Theano
|TensorFlow NumPy SciPy Pandas Matplotlib Keras SciKit-Learn PyTorch Scrapy BeautifulSoup SQLAlchemy Flask-RESTful XGBoost OpenCV
|MongoDB PostgreSQL Google Cloud MySQL Sybase SQLite Company Databases JSON Oracle9i Oracle RDBMS SQL Server Apache Hive NoSQL AWS S3
|SAS Apache Spark BigML D3.js MATLAB Excel Tableau ggpplot2 Jupyter Matplotlib NLTK Scikit-Learn TensorFlow Weka
|Google Cloud Platform (GCP) Docker Jupyter Notebook Amazon Web Services (AWS) Alteryx RStudio DataRobot Anaconda Lambda AWS EC2 H20 RapidMiner TIBCO Domino
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.
RETAIL & ECOMMERCE
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.
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.
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%.
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, right from data management to get pinpoint insights, and adding new technologies to the infrastructure.
We can 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. Our data science consultants bring industry and use case expertise to transform your business and make the most of your unstructured data.
Data science consultants are the data science specialists 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 data science challenges faced by clients, review their expectations, and propose data-driven solutions that would enhance the data science competencies, compatibility, structuring, security, analytics skills, and gravity of the data they possess.
As per the 2020 data, companies paid between $200 to $350 for one-hour data science support and 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:
Bacancy is an exclusive hub of top dedicated software developers, UI/UX designers, QA experts, and product managers with an incredibly rare and hidden talents you will ever come across. We let you access the top 1% IT talent from independent software developers to the fully managed teams.
Timezone is never a constraint when you are working with Bacancy. We follow one very simple principle – our developers and your time zone. Get dedicated software developers from us and make collaboration in a faraway to work according to your time zone, deadline, and milestone.
Whether you are looking for skilled developers in emerging technologies or looking for an extended arms to augment your existing team, we can lend a helping hand in both situations. We are a full-stack software development company with 1050+ skilled and experienced software developers whom you can hire at your convenience to address the ongoing business challenges.