Bharat Garg
Verified Expert in Engineering
Data Scientist and Developer
巴拉特是一名数据科学家和开发人员,拥有五年的数据分析经验, building predictive machine learning models, 设计和开发交互式报告和工具,以促进决策. 他曾与小型初创公司和大型公司合作, such as Comcast, MetLife, UnitedHealth Group/Optum, and Jefferson Health. 巴拉特的一个项目带来了600万美元的收入,另一个项目节省了1000万美元.
Portfolio
Experience
Availability
Preferred Environment
Microsoft Excel, RStudio Shiny, SQL, Python, R
The most amazing...
...我开发的预测模型通过识别具有高数字倾向和数字流失率的成员,为组织节省了1000多万美元.
Work Experience
Administrative Services Intern
Tata Group
- Developed data analytics roadmap for Jal Jeevan Mission; led end-to-end POC development on Power BI.
- Identified stakeholders and their pain points; implemented three solutions (six conceptualized) for nine POC sites.
- 开发了SLA管理模块,用于61个村庄的75个传感器,成本超过1.5万卢比.
Freelancer
ReTarget
- 开发端到端自动化ETL管道,使用API调用提取数据,并在Power BI中报告数据.
- 从头开始设计了三个新的Power BI扩展,以填充交互式社交地图和时间轴视图.
- 整合六大社交媒体平台多个搜索关键词和项目数据.
Data Analyst
Optum, Inc. (A UnitedHealth Group Company)
- 开发了一个预测模型,以衡量3300多万会员在数字平台上的参与倾向, claims, and order history.
- 创建了一个工具,从各种图像和PDF文档中提取表格信息, 使用图像处理和光学字符识别(OCR)技术. Generated over $50 million in revenue.
- 开发了一个深度学习模型,可以根据任何数据输入生成合成数据集, 确保在与第三方供应商共享数据时完全匿名.
Senior Analyst
Cognitio Analytics
- 开发了记录联动算法,识别出55个,000+ true pairs out of 500 billion possible pairs, with an accuracy of 99.9% and recall of over 90%.
- Analyzed 3.500万次更新行程,1500万次事件作为数据分析和流程挖掘的输入. 确定有交叉销售和向上销售机会的成员,并找出高流失率的根本原因, generating $6+ million in revenues.
- Redesigned and developed automated reports, 将负载时间减少约90%,维护工作量从每周15个fte减少到0个.5 FTE per week.
Experience
COVID-19 Simulator
http://bharatgarg.shinyapps.io/covid19/根据会员在数字平台上注册的倾向对其进行排名
成功地基于人口统计、Rx、索赔和订单中的172个参数建模了排序机制.
Supervised a team of two, responsible for deliverables, 并独自管理所有客户通信.
产生关键见解,并确定推动数字化采用的前五大积极和消极因素.
成功地模拟了损耗,并在高数字倾向的前十分之一中实现了90%的召回.
识别具有高损耗倾向的数字使用者
高倾向组的流失率降低了12%,总体流失率降低了3%. Also, 我在玩家未活跃6个月后通过发送留存活动,将回复率提高了18%.
Developing an Inhouse Process Mining Tool
Built process discovery, variant explorer, root cause analysis, executive summary all in a single package.
开发新的和优化现有的医疗保健报告
Developed 18 reports using best practices, 通过自动化15项以上的质量检查,最大限度地减少维护时间.
平均减少90%的负载时间,并将维护工作的全职当量(FTE)从2减少到0.2.
Education
Master's Degree in Business Administration
管理研究学院-德里大学-德里,印度
机械工程学士学位
Delhi Technological University - Delhi, India
Certifications
深度学习和计算机视觉A-Z: OpenCV, SSD & GANs
Udemy
Skills
Libraries/APIs
OpenCV
Tools
Microsoft Excel, Qlik Sense, Microsoft Power BI
Frameworks
RStudio Shiny
Paradigms
Data Science, ETL, Business Intelligence (BI)
Languages
R, Python, SQL
Platforms
Oracle, RStudio, Azure
Storage
Microsoft SQL Server, Data Pipelines
Other
Machine Learning, Process Mining, Data Analytics, Data Visualization, Data Engineering, Data Architecture, Data Warehousing, ETL Tools, Deep Learning, Celonis, Minit, Mechanical Engineering, Predictive Modeling, Image Processing, Algorithms, Computer Vision, Simulations, Excel 365, Marketing Mix, B2C Marketing, SEO Marketing, Supply Chain
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