Himanshu
Pune, Pune Division, Maharashtra, India
Experience: 19 years
Open to: Full-Time, Part-Time
Education: Bachelors
Availability: Immediate
Skills: Active Directory, AWS, Azure, Cosmos DB, Data Warehouse, Databricks, Git, Grafana, Jupyter Notebooks, Kafka, Kubernetes, LLMs/ChatGPT, Matplotlib, MSSQL, MySQL, NumPy, Oracle, pandas, Power BI, PySpark, Python3, PyTorch, R, scikit-learn, T-SQL, TensorFlow, Terraform
Previously worked at: Fortune 500, IT Service Companies
Assessment Score: 80
- Extensive Professional Experience
With over 18 years of experience, including 5 years in data science and 13 years in database development, ETL, and data warehousing, has successfully applied machine learning, deep learning, and advanced analytics to solve business challenges across industries like banking, retail, and technology. - Expertise in Machine Learning and AI
Proficient in developing and deploying predictive models using advanced techniques such as Random Forest, Gradient Boosting, ARIMA, and LSTM. Demonstrated success in areas like time series forecasting, customer segmentation, credit rating, and demand prediction. Skilled in NLP technologies like spaCy, BERT, and Generative AI for business applications. - Technical Proficiency in Tools and Platforms
Hands-on expertise in Python, PySpark, SQL, PL/SQL, and DevOps tools like Docker and Kubernetes. Experienced in leveraging cloud platforms such as Azure and AWS, and data engineering tools like Databricks and Azure Data Factory to build scalable data pipelines and deploy machine learning models in production. - Leadership in Data Integration and Architecture
Designed and implemented large-scale data solutions, including building a data warehouse with a data mesh architecture and integrating TV viewership data using Azure. Managed end-to-end project lifecycles, including requirement gathering, solution design, and deployment, while collaborating with cross-functional teams. - Certifications and Advanced Education
Holds multiple Microsoft Azure certifications in Data Science, Data Engineering, and AI, as well as a SAFe certification. Educational background includes a Bachelor of Engineering and a Post Graduate Diploma in Advanced Computing, providing a solid foundation in engineering and computational techniques. - Business Impact through Data Solutions
Delivered measurable results such as improving credit risk accuracy by 20%, reducing data processing times by up to 85%, and enhancing operational efficiencies through automation. Developed customer-centric solutions like chatbots and market basket analysis to optimize user experiences and drive revenue growth.