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Data Engineer Apprentice at Verizon Enterprise with hands-on experience applying security-by-design principles across data analysis, governance, and risk initiatives. Skilled in SQL, Python, and data visualization to assess trends, evaluate risk, and translate technical findings into clear, executive-ready insights. Strong collaborator with a risk-aware mindset, supporting regulatory compliance, control maturity assessments, and secure technology adoption.

Results-driven Data Engineer/ Data Analyst with over 4 years of experience in data mining, machine learning, predictive modeling, data architecture, and data visualization. Simulated, designed, developed & deployed computationally complex and practical data; built and delivered comprehensive data strategy roadmap; ensured final deliverables were of the highest quality. Proficient in large-scale structured and unstructured datasets, with strong expertise in Python, R, SQL, Tableau, and Big Data technologies (Hadoop, Hive, MapReduce, NoSQL). Skilled in ETL processes, data warehousing, data modeling, and building end-to-end analytics pipelines to deliver actionable business insights. Familiarity with DevOps tools and practices like Jenkins, Azure DevOps, etc. Familiarity with Atlassian tools like Bitbucket, JIRA, and Confluence. Proven ability to perform NLP, web scraping, statistical analysis, and data validation in high-impact projects across domains including healthcare analytics (HEDIS, STAR ratings, clinical gaps), finance, and regulatory reporting. Experience with handling large volumes of data in the cloud from different sources like S3, Druid, ElasticSearch, mySQL. Adept in conducting GAP analysis, ROI analysis, SWOT analysis, and translating complex data into strategic insights through interactive dashboards and reports. Experienced in all phases of SDLC, Agile, and Waterfall methodologies. Strong communicator with the ability to gather business requirements, document use cases, and collaborate cross-functionally to deliver high-quality, data-driven solutions.

"Experienced data analyst with 1.5 years of hands-on experience in data analysis, statistical analysis, and data visualization. Proficient in SQL, Python (including Pandas, NumPy, Matplotlib, and Seaborn), Excel, and Power BI. Skilled in extracting actionable insights from complex datasets to drive informed decision-making. Strong critical thinking and communication skills, with a proven ability to collaborate effectively in cross-functional teams. Dedicated to continuous learning and staying updated with the latest industry trends."

A highly skilled GIS Specialist with extensive expertise in spatial analysis, geostatistics, and geodatabases. Proficient in using a range of GIS software including ArcGIS, QGIS, MapInfo, and ERDAS for map creation and data visualisation. Demonstrates strong capabilities in dashboard and report development using Power BI, as well as data cleaning and analysis. Experienced in cadastral mapping, land information systems, and 3D modelling with tools such as Blender and ZBrush. Adept at scripting with Python for GIS applications and collaborating effectively on projects. Career goal: to leverage advanced GIS skills to drive innovative solutions in geospatial analysis and visualisation.

Detail-oriented collaborated team player with strong organizational and task prioritization skills. Ability to handle multiple projects simultaneously with a high degree of accuracy.

Shrikrishna Bhosale

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Bachelor of Science - Engineering

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