Testimonials
I was confused how can I transition into this new domain. But Noor Ji helped me a lot with her expertise. Especially having lived in Europe and UAE both I got to know her insights on both ends and that helped me take better decision.
Thank you Ms. Noor .Very Good consultation, clear information provided. Ms Noor ayesha helped with me things with absolute clarity. She is very professional,extremely knowledgeable and supportive too. Must recommended.
I talked to Noor, ma'am, on deep insights regarding Abu Dhabi/Dubai job market. She helped me gather important information and gave me and my wife valuable tips on various matters including job trends in Abu Dhabi, transition from backend to MLE , comparing geographies and markets for software engineering. Overall it was very helpful, friendly and positive.
Very insightful conversation with Noor on career guidance for Data profiles - UAE market. She possess deep understanding on Data roles and how it can be applied to hunt job for different roles in the Middle East. Her expertise helped me understand focus areas of my job hunt for Data Analyst and Data Engineering.
Services
Video meeting . 30 mins
CV review
Craft a standout CV—Europe/Middle East ready, ATS approved!
Video meeting . 30 mins
5
Career Guidance
Transform Your Data Career: Euro/Mideast Edition!
Video meeting . 30 mins
Interview prep & tips
Shine in interviews with expert strategies
Video meeting . 60 mins
Mock interview
Master interviews with personalized Mock Sessions!
About me
a senior and skilled data professional with 12 years of experience in the Middle East, Europe and India's markets in the areas of telecom, Marine, fintech, healthcare, payments, risk, and e-commerce. knowledgeable about uncovering hidden trends in structured and unstructured big data for business problem-solving and strategic decision-making. I'm extremely passionate about creating solutions from the ground up and turning prototypes into valuable products that deliver
Wealth of experience in utilizing Nvidia CUDA GPUs and Cerebras wafers
Cloud: Azure , Snowflake
Machine Learning:
Regression: Linear, Polynomial, Regularization, SVR Classification: Logistic Regression, SVM, KNN, Decision Tree, Ensemble learning (Random Forest, XGBoost CatBoost) Dimensionality Reduction: PCA, LDA, AutoEncoder,t-SNE Clustering: Kmeans, Hierarchical Neural Networks: CNN, RNN,LSTM, Transformer NLP: NLTK, fasttext, Spacy, Flair,Bert, XLNet,Descriptive and predictive Analysis
Core Competencies:
Programming Languages: BigChaindb, SAS, Python, R, SQL, PLSQL, Excel, VBA, HDFS, Hive, Pig, Spark,Kafka, Bash, Unix scripting, SAS Viya
Statistical Tool: SAS Databases: Teradata, SQLite, Oracle, Postgre, MySQL, CRM, Hadoop for BigData Machine Learning Toolkits: pytorch, Numpy, Pandas, Sklearn, Keras, Tensorflow,
Spark Visualization: Tableau, plotly, dash, matplotlib, seaborn, ggplot, Power Bi ETL Tools: IBM Infoshpehere Datastage, Power centre Informatica, Pentaho