Hi, I'm Jahanzeb, a seasoned Data Consultant with over 7 years of experience. I specialize in transforming data into actionable insights for various sectors, including finance, e-commerce, marketing, healthcare, real estate, and e-gaming.
Why Choose Me?
- Expert in Data Solutions: Proven track record in designing and implementing scalable data architectures using AWS, Azure, GCP, Databricks, and Snowflake.
- Visualization Virtuoso: Master at creating compelling data visualizations with Power BI, Tableau, Looker, and Google Data Studio.
- Coding & Development: Proficient in Python, SQL, DAX, and ETL tools like SSIS, Talend, and Informatica.
- Results-Driven Approach: Focused on delivering actionable insights and robust solutions that drive business growth and efficiency.
Technical Expertise:
Cloud & Big Data Technologies:
- Microsoft Azure: Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure SQL DB, Azure Cosmos DB
- AWS: AWS Redshift, AWS RDS, AWS Glue, AWS Data Pipeline, AWS DataBrew, AWS Lambda, S3, EMR, SageMaker
- GCP: Google BigQuery, Google DataProc, Google Pub/Sub
- Databricks and Snowflake
On-Premises Big Data Stack:
- Big Data Solutions: Cloudera Hadoop, Denodo, Spark, Impala, Hive, Flink, Airflow, Kafka, NiFi
- ETL Pipelines: Alteryx, Informatica BDM, Informatica Power Center, SSIS, Talend, Fivetran
- Deployment: GitHub Actions, Pulumi, Docker, Kubernetes
Data Warehousing & Analytics:
- Data Modelling & Reporting: SSRS, Data Analysis using Pandas, Data Cleaning, Visualizations, Pre-Processing
- BI Tools: ClickUp, Power BI, Amazon QuickSight, Tableau, Google Data Studio, Qlik, Looker, LookML, Sisense, Zoho Analytics, Domo, Grafana, Mixpanel
Computer Vision & Object Recognition:
- Technical Skills: Convolutional Neural Networks, Pose-Recognition, Multi-Object-Multi-Cam Detection, Human Tracking
Data Science and Analytics:
AI Data Annotation & Labeling: AI-driven annotation employs machine learning algorithms to automatically label the data. Over time, iteratively refining and improving the AI model can achieve higher annotation accuracy.
Deep Learning: Computer programs, such as the ones behind driverless cars, that use a subset of machine learning to learn by example through artificial neural networks.
Knowledge Representation: Computer lists, tree graphs, and semantic networks that represent data in a format usable for AI applications.
Machine Learning: Computer programs, such as email filters, that can access data and use it to learn for themselves through algorithms and statistical models.
Let's Connect:
If you're looking to harness the power of your data, enhance your analytics capabilities, or seek advice on your data strategy, I invite you to reach out. Let's explore how we can achieve exceptional results together!
Feel free to reach out for a consultation and let's turn your data into your biggest asset!
SaaS Development | AI Chatbot Development | CMS Development | AI Integration | Crypto Wallet Development | | Ecommerce Website Development | Shopify | Shopify Apps | Mobile App Development | Mobile Game Development | Scripting & Automation | Mobile Design | UX/UI Design | Web Design | Smartphone | Database Development | JavaScript (JS) | TypeScript | React (React.js, ReactJS) | React Native (ReactNative) | Node.js (Node, NodeJS) | Next JS (Next.js) | Nest JS | Python | Scala | Pyspark | Django | Flask | Laravel | Vue.js | Swift | Kotlin | PHP | Flutter | Azure DevOps | Azure App service | Deployment Automation | Amazon Web Services (AWS) | Amazon EC2 | Firebase | MongoDB | MySQL | PostgreSQL | API Integration | OpenAI API | Generative AI Modeling | Machine Learning | Data Analytics | Data Visualization | A/B Testing | Data Extraction | Data Processing