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• Linux, Bash, Crontab Basic• Git Basic• Postgresql Basic• Docker & Kubernetes• Hadoop HDFS, YARN• Apache Hive, Apache Sqoop, Apache Kafka• Apache Spark Dataframe & SQL• Spark Optimization Techniques• Delta Lake• Apache Spark Machine Learning Apache Spark• Streaming CI/CD and Jenkins• Model Deployment on Docker and Kubernetes• Datascience Project Lifecycle with MIflow• CAP Teorem Intro• MongoDB, Cassandra Intro

-At TBS Investment and Management Partners our priority is to help brands to differentiate their value proposition to their customers and increase their ability to adjust to the dynamic world of marketing.-As TBS, we are preparing our partners to the rapidly changing dynamics of this environment,where traditional methods can’t function. We have six main area of expertise that can customize to our client needs. Management Consultancy- Providing strategical plans and corporate solutions for businesses according to their vision&mission, market dynamics and customer demands/expectations.Brand Strategy & Communication Consultancy/Solutions-After a thorough analysis of what the brand means for the customer according to brands DNA, we create solutions for brand positioning and setting marketing strategies to disrupt and diversify from the brands competition.Advertisement & Sponsorship Sales-Developing collaborations by matching brands with related event makers, content creators and sponsors in order to reach their target consumers and segment in the most productive and cost efficient way.

•Functional Exploratory Data Analysis, FunctionalData Preprocessing, Feature Engineering• CRM Analytics (Level Based Persona, KPI & CohortAnalysis, RFM & K-means Customer Segmentation,Expected Sales Forecasting, Customer Lifetime ValuePrediction)• Association Rule Learning (Market Basket Analysisusing Apriori)• Recommendation Systems (Content Filtering,Correlation, Matrix Factorization)• Sorting and Scoring, A/B Testing, Dynamic Pricing• Regression & Classification Problems (GradientDescent, House Price Prediction, Customer ChurnPrediction, Diabetes Classification, Credit RiskModelling, Customer Segmentation using K-means)• Machine Learning (Regression, Logistic Regression,CART, KNN, PCA, Light GBM, XGBoost, RandomForests)• Natural Language Processing (NLP, TextClassification Model, Latent Dirichlet Allocation)• Time Series Problems (Holt Winters, ARIMA, LightGBM)

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