• Deriving sols for complex business problems through Big Data analysis, Machine Learning, Time series & Root cause Analytics etc.• Azure data engineering, Data bricks and solution architecture expertise; Automated ETL processes, improving efficiency & Accuracy.• Institutionalize Analytical assets, Statistical methods, Low latency data systems for rapid data driven decisions & verifying End Sols.• Writing scripts for ETL tasks, Data pipeline orchestration, Data processing & transformation, Utility function and Data visualizations. • Monitoring & Reporting of Applications & Websites, Infrastructure health, Cloud hosted Systems & Services, Network systems Etc.• Optimisation by managing the key business metrics, Log monitoring, APM, Beats, APIs, and code level issues & conversions. • Enhancing resource utilization, Define & Standardize the technology Stack; Grafana/Cloud deployment & Elastic Search tuning. • Architecting, creating and maintaining Data pipelines. Driving Automation by renovating the Data management Architecture. • Creating Complex alerts/watchers for System metrics, Windows events, Reports, SIEM detection rules, query search, DSL query. • Managing & creating Elastic search cluster, ILM policy, Logstash pipeline & writing Groks for different types of logs.

• Worked on cloud-based solutions-Aws & Azure, ETL/ELT, pipeline orchestration methodologies, data validation & loading.• Validation, cleaning, Standardization, curation, storage and management of the data received from various sources.• Assist in planning and designing business processes; Assist in formulating recommendations to improve and support biz. activities.• Analyzing and documenting client’s business requirements, Processes by Constructing basic conceptual Data, Process models, Algorithms, Data Integrations, Data warehousing & vol. estimates.; Improve Present Business Intelligence Systems.• Implemented data analytics best practices, Enhanced 14% in order fulfillment accuracy & 9% growth in annual revenue in Q2 FY-24.• Worked with data science team to implement data analytics pipelines using SQL, Python, APIs, Shell, Azure & Aws cloud Platform. • Drive product strategy and development of platform with analyst’s team to drive higher customer engagement. • Used predictive analytics such as M.L & data mining techniques to forecast company sales of new products with a 90% accuracy. • Undertake technical reviews and inspections to verify intent of change is carried through the phases of project.

• Used predictive analytics with M.L & data mining techniques to forecast company sales of new products with a 90% accuracy. • Undertake Market research & Gap analysis in the sales revenue generation.• Data Acquisition, storage, processing & administration for Customer churn prediction, Price optimization, Sentiments Analysis.• Measuring the effectiveness of marketing programs and strategies.• Understand customer requirements, market gaps/ need gaps and drive release-level feature choices. • Monitor and measure launched products sale and feed insights back into product dev. process to drive growth.• Managing end to end recon. for all big accounts for OEW business.• Forming multiple DSR related to cross sell and creation of Lan for all new account getting enrolled.• Targeted 75K retail customers across a period of 8 months.• Drive product strategy and development of platform with analyst’s team to drive higher customer engagement.• Collaborate with Tech, Design, Business, Testing and Analytics teams to implement product solutions.

During this internship, i got hands on Experience on financial statements for making better economic decisions. *In order to know the financial performance, we focused on the ratio analysis, liquidity ratio, Efficiency ratio, Debt Management and Profitability.* Analyzed the market position by comparing GAMP & COs income statement, balance sheet, statement of cash flows, and a statement of changes in equity ,Revenue, EPS, NAV, Net Income with its previous year.* I also worked on analysis methodologies and financial analysis of the company.

* Worked on developing & maintaining a competitive edge by finding and delivering data-backed insights into potential markets, competitors, and customer behaviour.*Developing data collection tools and techniques using data modelling tool.* Analysing data sets and communicating findings.* Contributing data-backed insights to marketing strategy.* Conducting product testing and brand research * Developing business strategies, building client relationships and identify new business opportunities.* Boost growth and sales of products pertaining to Life Insurance, fixed deposits, General insurance and Mutual funds.

• Designing & implementing data storage solutions on Azure.; Building & maintaining data pipelines for data integration & processing. • Developed models & application using PowerApps; Integrated PowerBi Reports & Dashboards with PowerApps and automated tasks for optimizing business processes.* monitoring using Dynatrace, Solarwinds, thousands eyes and wireshark.• Experience with Azure data storage solutions-ADLS, Cosmos DB, Azure SQL.; Developing and maintaining data models and schemas. • Integration and Automation of routine network configuration tasks.; Hardware & Application mapping and its Documentation.

• Monitor network traffic, identify bandwidth bottlenecks & packet loss and providing Alerts Using SolarWinds, Pingplotter & Putty.• Designing, inspecting, testing and updating electronics systems, components, equipment and software.• Securing network system by establishing and enforcing policies, defining and monitoring access.• Establish the networking environment by designing system configuration, directing system installation and defining, documenting and enforcing system standards.• Maximize network performance by monitoring, troubleshooting problems, outages, scheduling upgrades and Network optimization.

Got hands on experience in the Computer networking, MPL-VPNS, Mobile Backhaul, routers, switches, protocols and monitoring applications - Solarwinds, thousands eyes, Appdynamics etc.following are the task i got to work on:* Providing primary backup for networks should they fail.* Preparing post-mortem reports and performing trend analysis when there are system failures.* Ensuring the effective administration of a new business network * Performing troubleshooting on all programs when required.* Developing proposals and helping to finalize opportunities that reduce expenses * Developing and maintaining all of the comprehensive paperwork associated with the implemented network.