At KAS, We have a pool of data science engineers experienced in dealing with challenges posed by the Volume, Velocity, Variety, and Veracity of data. Hire data scientists to develop a strategy aligning with your business needs.
Hire data scientist to review your existing data architecture, analyze data sources, and explore data lakes. They will guide you to choose the best platform for managing data architecture, adopting the best data pipeline building process, viable options to clean/process/transform data, and derive value out of your data.
Responsibility, Authenticity, and Accountability are the three virtues practiced by every data scientist at KAS. Hire Data Science developer with an expanded skill set and leverage our additional data science services.
Data preprocessing
Data investigation and cleansing
Data migration
Data labeling
Data annotation
Data conversion
Data interpretation
Data mining
Data discovery
Data transformation
Data aggregation
Data storage
Data integration
Data analysis
Model creation
Model Optimization
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
We use best-in-class tools, state-of-the-art technologies and modern approaches to scale up your business
Languages | PythonPython 3TypeScriptSQLC++JavaScriptC#CoffeeScriptJuliaRJavaScalaSwiftGOBash |
Database | SolarwindsDatadogAquafoldSentryOneNavicatSQLRazorSQL My SQLTeamDeskTablePlusSequelProKnackOracle RDBMS FileMakerClounchbase |
Web Scraping | Bright DataApifyOxylabsZenscrapeScraper APIScrapestackScrapingbeeSCRAPEOWLAgentyImport.ioNutchWatir.CelerityUIPathDiffbotMozenda |
Data Analytics & Visualization | DatapineR-StudioPythonMy SQLSASErwinTalendJenkinsApache SparkMicrosoft ExcelRapidMinerOpenRefineHighChartsPower BITableauQlikSisenseRedashJupyter NotebookChartioLookerDomo |
Machine Learning | TensorFlowIBM Watson StudioAmazon LexMicrosoft Azure MachineLearningOpenNNAuto-WEKADatawrapperGoogle Cloud AutoMLAmazon Machine LearningMLJARTableauPyTorchApache MahoutKerasShogunRapidMinerNeural DesignerScikit-learnKNIMESpell |
Reporting | Zoho AnalyticsHubSpot Marketing AnalyticsIntegrate.ioFineReportQuery.meAnswer RocketSAP Crystal ReportsIzenda ReportsDBxtraDatadogBIRTKNIMEGoodDataPhocasMicrosoft Power BIWhatagraphOribiJuicebox |
PM Tools | JiraTrelloSlackAsanaAzure DevOpsHubstaff Tasks |
Communication Tools | SlackHangout |
Meeting | Google MeetZoomGotoMeeting |
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.
EDUCATION
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.
IT
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%.
We at KAS have a team of the best data scientist for hire specifically trained in interconnected technologies and data management. With experience and passion, our data science consultants have acquired invaluable skills in data science and data science-related architecture.
If you are concerned about where to hire freelance data scientists/offshore data scientists, you are at the right place. We let you hire data science developer or team from us who all have faced a rigorous interview process and proved their core competencies to solve the toughest data challenges for you.
To hire a data scientist from us you need to contact us via email, or phone, or just fill out the contact form by giving valid details. You can chat with us online or schedule a meeting with our account managers to discuss your requirements and speak with our data scientists.