Sandeep Shukla
Digital Data & Analytics Lead @Sanofi
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WORK HISTORY
Digital Data & Analytics Lead @Sanofi
Reading, GB
EDUCATION
Shri Ramdeobaba College of Engineering and Management
Bachelor of Engineering - BE, Electrical and Electronics Engineering
University of Reading
Master's degree, Data Science and Advanced Computing
The University of Texas at Austin
Post Graduate Program, Data Science and Business Analytics
SKILLS
ABOUT SANDEEP SHUKLA
An organized Service Assurance & Analytics Specialist with 10+ years of proven track record in data analytics and implementing data-driven solutions. Drives business success with recommendations based on data findings. Looking to leverage my knowledge and experience into a role as Data Scientist.Skills –OSS/BSS: Service Assurance & Analytics (Fault, Performance, Security & Service Management), Application Performance Management, Splunk Enterprise, Dynatrace, MyCom, Netcool, HPOpenview, SevOne, EMC SMARTS,BMC Remedy.Programming/Libraries: Python, R, SQL, Numpy, Pandas, Scipy, Scikit-learn Machine Learning: Regression, Decision Tree, Random Forest, Logistic Regression, XGBoost, Gradient Boosting, Bagging classifiers, SVM, K-Means Clustering, KNN, Hierarchical Clustering, PCA, Model TuningDeep Learning: Neural Networks (ANNs), LSTMs, Keras, TensorFlowStatistical Modelling: Exploratory Analysis, Hypothesis Testing, ANOVA, Chi-square Data Mining & ML tools: Python, Splunk Machine Learning Toolkit, KNIME, RESTVisualization: Splunk, Tableau, Matplotlib, Seaborn, MS ExcelBig Data: Hadoop 2.0/3.0, Spark, Azure Databricks, Azure Synapse Analytics, Azure ML.OS: Linux, WindowsOther skills: TOGAF, Microservices, ITIL, eTOM, Agile methodologies, Technical documentation, Solution Design.Experience -• Design & develop E2E data-driven Service Assurance solutions for OSS/BSS application & system data using AI/ML-based tools like Splunk & Dynatrace.• Developed & operationalized ML models on Splunk Machine Learning platform for various IT & Security use-cases - predictive analysis, outlier detection, anomalous event-detection.• Design data collection methods from multiple data sources (application, system & network data, customer data)• Design & develop automated dashboards & reports for both operational & non-operational requirements.• Expertise in preparing proposals, technical/business presentations, Design documents & SOPs.• Experienced in driving requirements gathering workshops with business & technical stakeholders, leading design workshops, setting realistic expectations and deadlines.• Skilled in maintaining & updating product backlog, creating user stories and delivering projects in Sprints.I enjoy -** Practicing AI & ML concepts for personal development.** Composing music on Guitar, song-writing, mouth-organ.
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